Concevoir, développer et optimiser des modèles d’apprentissage automatique qui alimentent les décisions fondées sur les données

Le rôle
Nous sommes à la recherche d’un ingénieur en apprentissage automatique pour se joindre à une équipe collaborative qui livre des solutions avancées d’analytique et d’IA dans le secteur des services financiers. Ce rôle met l’accent sur le cycle de vie complet des modèles d’apprentissage automatique — de la développement et l’expérimentation au déploiement, à la surveillance et à l’amélioration continue — ainsi que sur l’application de techniques d’IA générative.

Ce que vous ferez

• Concevoir, développer et maintenir des modèles d’apprentissage automatique pour résoudre des problèmes d’affaires critiques
• Assumer des responsabilités clés dans le cycle de vie des modèles, notamment l’ingénierie des caractéristiques, l’ajustement, l’évaluation et la calibration
• Appliquer l’analytique prédictive et des techniques de conception de requêtes pour extraire des insights à partir de jeux de données complexes
• Effectuer des tests de modèles, des benchmarks et un suivi continu de la performance
• Collaborer avec les parties prenantes pour traduire les besoins d’affaires en solutions d’AA évolutives

Ce que nous recherchons

• Plus de 5 ans d’expérience dans des rôles en apprentissage automatique ou en science des données
• Excellentes compétences en développement Python avec expérience pratique de la création de modèles d’AA
• Solide compréhension des concepts d’apprentissage automatique, du cycle de vie des modèles et des meilleures pratiques
• Expérience avec les grands modèles de langage (LLM), l’IA générative et la conception de requêtes
• Solides compétences analytiques et en communication, avec la capacité de travailler auprès des équipes techniques et d’affaires

Atouts

• Expérience en gestion de patrimoine ou dans les services financiers (souhaitée, mais non obligatoire)
• Connaissance du déploiement, de la surveillance et du réentraînement de modèles en environnements de production
• Expérience avec des plateformes d’AA infonuagiques ou des solutions de données évolutives
• Expérience avec des outils d’automatisation ou d’optimisation des flux de travail
• Expérience de travail au sein d’équipes agiles ou interfonctionnelles
• Maîtrise du français et de l’anglais
• Étant donné que la majorité de nos clients et collègues sont situés à l’extérieur du Québec et du Canada, des exigences linguistiques particulières peuvent s’appliquer et une maîtrise professionnelle de l’anglais est requise.

Pourquoi joindre Capco

• Livrer des solutions technologiques à fort impact pour des institutions financières de premier ordre
• Travailler dans une culture de consultation collaborative, horizontale et entrepreneuriale
• Accéder à de la formation continue, du perfectionnement et à des certifications reconnues dans l’industrie
• Faire partie d’une équipe qui façonne l’avenir des services financiers numériques
• Contribuez à façonner l’avenir de la transformation numérique dans les secteurs des services financiers et de l’énergie

Nous offrons un régime d’avantages sociaux concurrentiel et axé sur les personnes, conçu pour soutenir tous les aspects de votre vie :

Avantages

• Couverture d’avantages complète – assurance santé, vie et invalidité entièrement payée par l’entreprise, en vigueur dès le premier jour d’emploi
• Programme d’épargne-retraite – Régime enregistré d’épargne-retraite (REER) avec option de cotisation de l’employeur
• Soins de santé virtuels – Programme payé par l’entreprise pour les employés et leurs personnes à charge
• Programme d’aide aux employés et à leur famille (PAEF) – Services de soutien confidentiels
• Soutien au mieux-être – Remboursement d’activités de mise en forme pour soutenir le bien-être

Transparence salariale

La fourchette salariale pour ce poste est indiquée ci-dessous. De plus, ce poste peut également être admissible à un paiement annuel de prime discrétionnaire/variable.

Capco s'engage à offrir une rémunération juste et équitable à son personnel. Nos politiques de rémunération et nos fourchettes salariales sont conçues pour permettre à nos employés de progresser dans la fourchette salariale à mesure qu'ils démontrent de solides performances et se développent dans leur rôle au fil du temps. Le salaire de base offert aux candidats retenus sera conforme à la fourchette salariale, et le placement variera en fonction de divers facteurs, y compris, mais sans s'y limiter, les connaissances, compétences, expérience et équité interne liées au poste.

CAD $118000 - CAD $152000

Utilisation de l’intelligence artificielle dans l’acquisition de talents
Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour appuyer et améliorer plusieurs aspects de l’acquisition de talents. Cela comprend l’utilisation de fonctionnalités alimentées par l’IA dans LinkedIn pour aider à repérer des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’offres d’emploi convaincantes, alignées sur la marque et reflétant fidèlement les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil d’appui. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.

Pourquoi ce poste est ouvert
Nous recrutons actuellement pour ce poste en raison d’un poste vacant existant ou nouvellement créé au sein de notre organisation. Ce poste est ouvert dans le cadre de nos besoins d’affaires continus, et nous examinons activement les candidatures afin de pourvoir ce rôle avec une personne qualifiée qui pourra avoir un impact immédiat.

Inclusion chez Capco
Nous nous engageons à rendre notre processus de recrutement accessible et simple pour tout le monde. Si vous avez besoin d’aménagements à n’importe quelle étape, faites-le-nous savoir — nous serons heureux de vous aider. Nous valorisons la perspective et la contribution uniques de chaque personne. Chez Capco, nous croyons qu’être soi-même est votre plus grande force. Notre culture #BeYourselfAtWork encourage l’individualité et la collaboration — un état d’esprit qui façonne notre façon de travailler avec nos clients et entre nous, chaque jour.

Chez Capco, nous utilisons des outils d’intelligence artificielle (IA) pour appuyer et améliorer plusieurs aspects de l’acquisition de talents. Cela comprend l’utilisation de fonctionnalités alimentées par l’IA dans LinkedIn pour aider à repérer des candidats potentiels, l’accélération des communications de recrutement courantes comme les courriels et la création d’offres d’emploi convaincantes, alignées sur la marque et reflétant fidèlement les exigences du poste, ainsi que des applications de planification par IA pour améliorer l’efficacité de la coordination des entrevues.
L’IA est utilisée uniquement comme outil d’appui. Toutes les décisions d’embauche sont prises par les équipes d’acquisition de talents et de recrutement.

Design, build, and optimize machine learning models that power data-driven decisions

The Role
We are seeking a Machine Learning Engineer to join a collaborative team delivering advanced analytics and AI solutions within financial services. This role focuses on the full lifecycle of machine learning models—from development and experimentation to deployment, monitoring, and continuous improvement—alongside the application of generative AI techniques.

What You’ll Do

• Design, develop, and maintain machine learning models to solve business-critical problems
• Own key aspects of the model lifecycle including feature engineering, tuning, evaluation, and calibration
• Apply predictive analytics and prompt engineering techniques to extract insights from complex datasets
• Perform model testing, benchmarking, and ongoing performance monitoring
• Collaborate with stakeholders to translate business requirements into scalable ML solutions

What We’re Looking For

• 5+ years of experience in machine learning or data science roles
• Proficient Python development skills with hands-on experience building ML models
• Strong understanding of machine learning concepts, model lifecycle, and best practices
• Experience with large language models (LLMs), generative AI, and prompt engineering
• Solid analytical and communication skills, with the ability to work across technical and business teams

Bonus Points For

• Experience in wealth management or financial services (preferred but not required)
• Familiarity with model deployment, monitoring, and retraining in production environments
• Experience with cloud-based ML platforms or scalable data solutions
• Exposure to workflow automation or optimization tools
• Experience working in agile or cross-functional teams
• Proficiency in French and English
• Given the majority of our clients and colleagues are located outside of Quebec and Canada, specific language requirements may apply and professional proficiency in English is required.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment
• Retirement Savings Program – Registered Retirement Savings Plan (RRSP) with the option of employer contribution
• Virtual Health Care – Company-paid program for employees and their dependents
• Employee & Family Assistance Program (EFAP) – Confidential support services
• Wellness Support – Fitness reimbursement to support wellbeing

Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

#LI-Hybrid

Nous sommes TRADER, un leader canadien des solutions numériques pour l'automobile. Nos marques phares — AutoTrader.ca, AutoSync, Dealertrack Canada et CMS — aident les Canadiens à acheter, vendre et financer des véhicules en toute confiance. En tant que membre du groupe AutoScout24, le plus grand marché automobile en ligne d'Europe, nous façonnons l'avenir de la vente au détail automobile au Canada et au-delà.  
Pour en savoir plus, rendez-vous sur tradercorporation.com.  

Ce rôle fera partie de l'équipe AutoSync. AutoSync soutient plus de 3 500 concessionnaires à l'échelle nationale, en fournissant des outils logiciels de pointe pour simplifier les opérations, renforcer le marketing et stimuler les ventes.

Nous recherchons actuellement un ingénieur logiciel Full Stack pour rejoindre notre équipe, au service de la plus grande suite de produits automobiles au Canada.

Lieu : Montréal

À quoi s'attendre :

• Travaillant aux côtés de personnes très talentueuses et dévouées, vous ferez partie d'une équipe agile interfonctionnelle qui contribue à la construction de la plateforme numérique d'AutoSync
• Participer aux cérémonies agiles quotidiennes, réfléchir à des idées innovantes qui remettent en question le statu quo et aider à mettre en œuvre des solutions
• Agir en tant que défenseur de la responsabilité et de la qualité de code la plus élevée, tout en contribuant à la santé de l'infrastructure
• Élever le niveau et faire progresser l'équipe en partageant des connaissances et des bonnes pratiques, tout en recherchant constamment des améliorations et en facilitant le progrès

Ce que vous apportez :

• Expérience pratique dans le développement de sites web publics à fort trafic
• Fort adepte du principe d'ingénierie logicielle full stack, avec une attitude « vous le construisez, vous le gérez » (développement, devops, cloudops, sécurité, tests, etc.)
• Capacité prouvée à explorer de nouvelles technologies et à aider l'équipe à les utiliser
• Passion pour l'IA et son application au SDLC
• Solides compétences en programmation et bonnes pratiques de développement logiciel
• Principes de tests solides, tester votre propre code pour garantir sa préparation à la production

Expérience obligatoire :

• Plus de 4 ans de développement de systèmes logiciels fiables, hautement disponibles et évolutifs
• Solide compréhension de l'architecture logicielle et des modèles de conception
• Bonne maîtrise des principes de code propre et des normes de codage
• Excellente compétence dans l'utilisation des outils d'IA, tels que ChatGPT/Codex, pour un développement rapide.
• Expérience de l'intégration des outils d'IA dans votre environnement de développement pour une utilisation simplifiée.
• Expérience avec des frameworks d'IA tels que Vercel AI SDK, LangChain, etc.
• Excellente compétence en développement backend (Typescript, Node.js)
• Connaissance fonctionnelle de PHP pour des applications WordPress héritées
• Une expérience avec .Net/C# est appréciée
• Solide maîtrise des bases de données SQL et NoSQL (GraphQL, Redis)
• Solide maîtrise du développement frontend (HTML, CSS, Javascript)
• Solide maîtrise des frameworks basés sur des composants et du SSR (Next.js/React, Vue.js)
• Expérience pratique dans le développement et la maintenance de systèmes de gestion de contenu tiers
• Connaissance des infrastructures cloud modernes et des outils, tels que AWS, Terraform et Docker
• Expérience avec les API et le développement dans un environnement d'application basé sur les services
• Expérience dans la création d'interfaces utilisateur optimisées pour la performance
• Maîtrise des systèmes de contrôle de version tels que Git
• Expérience de travail dans un pipeline CI/CD formel
• Expérience avec les services de journalisation, de surveillance et d'alerte tels que Datadog, Newrelic.
• Approche solide des tests et de l'assurance qualité du code, tests unitaires, backend et frontend
• Expérience dans l'utilisation de l'IA, de l'IA générative (GenAI) pour améliorer la productivité en ingénierie, automatiser les tâches répétitives et optimiser les flux de travail. Vous devez démontrer la capacité à intégrer des solutions basées sur l'IA dans votre travail quotidien — comme la génération de code, le débogage, les revues, la documentation et le support à la décision — pour améliorer l'efficacité pour vous-même et vos équipes.
• Une approche proactive pour explorer et mettre en œuvre des outils d'IA qui stimulent l'innovation et rationalisent les processus de développement est très appréciée.

Le genre masculin est utilisé sans discrimination et dans le seul but d’alléger le texte.

Qu'est-ce que vous y gagnez…

Nous comprenons qu'il y a la vie au travail et la vie en dehors du travail. Voici quelques avantages dont nous bénéficions tous, qui nous soutiennent pour être à notre meilleur niveau créatif.

• Rabais pour le gym
• Programme d'aide aux employés et à leur famille
• Événements virtuels de bien-être
• Budget pour conférences et formation
• Programmes de formation interne réguliers
• Planification financière avec régime de retraite à cotisation de 3 %
• Salaire compétitif
• Structure de prime annuelle

La fourchette salariale de base pour ce poste est de 100 000 $ CA à 150 000 $ CA.

Cette fourchette reflète la rémunération prévue au moment de la publication. L'offre finale peut varier et être plus élevée en fonction des compétences pertinentes, de l'expérience, de l'emplacement et des conditions du marché. En fonction du rôle, le régime global de rémunération peut également inclure des avantages, des primes et d'autres offres aux employés.

Pour une carrière où vous pouvez stimuler notre entreprise et façonner votre avenir, postulez maintenant.

What’s in it for you…

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best.

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs
• Financial planning with 3% matching Pension  
• Competitive salary
• Annual bonus structure 

The base salary range for this position is CAD $100k – $150k.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings.

For a career where you can drive our business and shape your future, apply now. 

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.

We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.

Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion.

As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.

The Role

We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives.

You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites.

This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy.

What you’ll do:

• Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products.
• Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring.
• Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management.
• Partner with product and software development leaders to align AI roadmap with customer needs and business goals.
• Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining.
• Drive performance optimization through techniques like quantization, distillation, and scalable inference serving.
• Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.
• Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.

About you:

• 7+ years of experience in Machine Learning, Data Science, or Applied AI.
• Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
• Proven experience deploying production ML systems—not just prototypes—at scale.
• Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
• Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams.
• Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.

Bonus skills: 

• Experience with OCR for extracting structured data from documents.
• Background in time-series modeling for predictive maintenance and anomaly detection.
• Familiarity with Industrial IoT systems (sensors, telemetry, edge computing).
• Experience applying reinforcement learning or agentic architectures for decision-making and control systems.
• Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A high impact Culture:
• You’ll work with Smart, Humble Optimists across the globe.
• Meritocratic environment where ideas and outcomes are publicly celebrated.

About us:

We exist to make the lives of frontline and maintenance teams easier by building software that meets their real-world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety research agenda. In this role, you will develop and evaluate probabilistic inference methods, with a focus on amortized inference, translating theoretical insights into practical implementations.

Key responsibilities

• Develop amortized inference methods suitable for high-dimensional discrete and continuous distributions.
• Develop parameter- and structure-learning methods for large probabilistic graphical models that benefit from amortized probabilistic inference.
• Design evaluation strategies for methods that rely on probabilistic inference.
• Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
• Translate theoretical proposals into high quality implementations in a programming language such as Python.
• Analyze and interpret experimental results to steer future research directions.
• Communicate complex findings effectively to various stakeholders.
  

Skills and qualifications

• Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
• A minimum of 3 years of experience in deep learning research.
• Expertise in probabilistic inference is required, in addition to expertise in one or more of the following:
  • Bayesian inference
  • Sampling-based approximate inference methods
  • Amortized inference methods (including variational inference methods or Generative Flow Networks)
  • Parameter- and/or structure-learning in probabilistic graphical models (including causal models)
  • Reinforcement learning
  • Optimal control
• Strong background in mathematics.
• Proven experience in developing and implementing machine learning models.
• Proficiency in programming languages such as Python, and experience with  ML frameworks like PyTorch or TensorFlow.
• Excellent analytical and problem-solving skills, with a demonstrated ability to think critically about complex systems.
• Strong communication skills, both written and verbal, with the ability to explain complex ideas to diverse audiences.
• Track record of contributing to high-quality research in probabilistic inference or related fields.
• Ability to work collaboratively in a team environment while also being self-motivated and independent.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

The technical backbone behind every successful implementation

First time hearing about Professional Services at Coveo? We are THE technical team that brings the Coveo AI-powered search products to life for our clients. As a Senior Solutions Consultant, you’ll guide our enterprise customers through transformative Generative AI experiences implementations, and shape how they leverage our solutions for a stronger and more intuitive search experience.

You’ll combine deep technical skills with a consulting mindset to design, customize, and deploy high impact AI solutions that index millions of documents, integrate across complex ecosystems, and deliver ultra-relevant results in under a second. This is where engineering meets impact!

As our Senior Solutions Consultant, you will:

• Integrate Coveo with systems such as SAP, Salesforce, ServiceNow, Shopify, and others across cloud, on-premise, or hybrid environments.Implement and customize Coveo’s features to match each customer’s unique environment and business needs.
• Lead requirement-gathering sessions with our enterprise clients (such as Dell, Nespresso, Adobe etc.) and translate their needs into scalable technical solutions.
• Communicate clearly and confidently with customer stakeholders throughout the project lifecycle, ensuring alignment and smooth delivery.
• Deploy the solution so it connects with the customer's systems in place: that means on-premise for some, in the cloud for others, and sometimes a mix of both.
• Configure, optimize, and enrich our solution to consolidate data and support key features, functionalities, and plug-ins. 
• Build intuitive, user-friendly interfaces and implement JavaScript libraries that allow Coveo to fit naturally into customers’ systems.

Here is what will qualify you for the role:

• 8+ years of hands on development experience with JavaScript, TypeScript and modern UI frameworks (React, Vue.js and Angular).
• Ease of navigating across sophisticated tech stacks and B2B ecosystems.
• Consulting experience is a must, with proven ability to operate in client-facing roles and manage communication with enterprise stakeholders.
• Strong ownership mindset, able to lead projects, prioritize effectively, and stay structured under pressure.

What will make you stand out:

• Experience with large-scale system integrations or cloud enterprise platforms.
• Background in search, commerce or information architecture
• A passion for enabling customers’ success and driving adoption through thoughtful guidance.
• Python, node,js or Java.

Do you think you can bring this role to life? Or add your own colour? You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you! 

Join the Coveolife! 

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

#li-hybrid

Shape the future of enterprise AI technology

Do you want to turn cutting-edge natural language processing into products impacting millions of users?

As a Senior II Applied Scientist on Coveo’s Knowledge AI team, you will help build the language technologies at the core of our generative artificial intelligence platform.

You’ll take on a technical leadership role, influencing our NLP vision while designing, evaluating, and deploying advanced solutions such as retrieval augmented generation pipelines, information retrieval, semantic search, question answering, and agentic systems, always with real-world constraints in mind.

As one of our Senior II Applied Scientists, you will:

• Design, develop, and optimize modern language-based artificial intelligence solutions, from data and modeling choices to evaluation strategies and production constraints.
• Apply and serve transformer-based language models at scale, delivering reliable, real-time experiences to enterprise users.
• Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles.
• Act as a technical reference within the team, guiding architectural decisions and promoting best practices in applied science.
• Mentor applied scientists, supporting their growth and helping raise the overall level of expertise within the group.
• Contribute to research and development processes that foster efficiency, rigor, and a culture of applied science excellence.
• Share our innovations externally through technical blog posts, presentations, or other thought leadership content.

Here is what will qualify you for the role:

• A PhD, or a Master’s degree with equivalent research experience, in a relevant field such as machine learning, computer science, mathematics, or physics.
• At least 8 years of industry experience applying modern natural language processing techniques, including deep learning and large language models, to real-world systems at scale.
• Strong experience designing models and systems that balance performance, user experience, and production realities.
• Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation.

What will make you stand out:

• Experience in a technical leadership capacity, including mentoring, hiring, roadmap definition, or scientific project planning.
• Research or applied experience in areas closely related to Coveo’s business, such as information retrieval, neural search, semantic search, or question answering.
• Exposure to more traditional lexical or linguistics-based natural language processing techniques.
• International work experience and a demonstrated ability to collaborate across cultures and perspectives.

Do you think you can bring this role to life? Or add your own color?
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

Shape the future of enterprise AI technology

Do you want to turn cutting-edge natural language processing into products impacting millions of users?

As a Senior II Applied Scientist on Coveo’s Knowledge AI team, you will help build the language technologies at the core of our generative artificial intelligence platform.

You’ll take on a technical leadership role, influencing our NLP vision while designing, evaluating, and deploying advanced solutions such as retrieval augmented generation pipelines, information retrieval, semantic search, question answering, and agentic systems, always with real-world constraints in mind.

As one of our Senior II Applied Scientists, you will:

• Design, develop, and optimize modern language-based artificial intelligence solutions, from data and modeling choices to evaluation strategies and production constraints.
• Apply and serve transformer-based language models at scale, delivering reliable, real-time experiences to enterprise users.
• Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles.
• Act as a technical reference within the team, guiding architectural decisions and promoting best practices in applied science.
• Mentor applied scientists, supporting their growth and helping raise the overall level of expertise within the group.
• Contribute to research and development processes that foster efficiency, rigor, and a culture of applied science excellence.
• Share our innovations externally through technical blog posts, presentations, or other thought leadership content.

Here is what will qualify you for the role:

• A PhD, or a Master’s degree with equivalent research experience, in a relevant field such as machine learning, computer science, mathematics, or physics.
• At least 8 years of industry experience applying modern natural language processing techniques, including deep learning and large language models, to real-world systems at scale.
• Strong experience designing models and systems that balance performance, user experience, and production realities.
• Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation.

What will make you stand out:

• Experience in a technical leadership capacity, including mentoring, hiring, roadmap definition, or scientific project planning.
• Research or applied experience in areas closely related to Coveo’s business, such as information retrieval, neural search, semantic search, or question answering.
• Exposure to more traditional lexical or linguistics-based natural language processing techniques.
• International work experience and a demonstrated ability to collaborate across cultures and perspectives.

Do you think you can bring this role to life? Or add your own color?
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

About the Company   

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    

Meet The Team:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

Perks of Being a Full-time Torc’r   
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance   

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

US Base Pay Range:

$177,300 - $234,000

Job ID: R-102432

About the Company   

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    

Meet The Team:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

Perks of Being a Full-time Torc’r   
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance   

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

US Base Pay Range:

$160,800 - $212,300

Job ID: R-102432

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We’re scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don’t insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients’ missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

At Human Agency, we are shaping the future by combining cutting-edge AI solutions with intuitive software development. We specialize in building scalable and secure SaaS applications that empower enterprise clients to solve complex problems efficiently. As part of our team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering.

We’re seeking a Senior Full-Stack Engineer to join our growing team. In this role, you'll lead development initiatives, contribute to our SaaS products, and tackle exciting challenges in backend architecture, frontend design, and AI/ML integrations with a particular focus on generative AI technologies.

Responsibilities

SaaS Application Development

• Detection:
• Develop backend algorithms to process articles, chunk content, and integrate with LLMs for predictive text generation.
• Build APIs and services to manage and scale the application’s content workflow.
• Protection:
• Create secure PDF upload workflows with encryption to ensure compatibility with Adobe Acrobat.
• Integrate authentication mechanisms like Okta for enterprise customer admin management.
• Enable data recovery, auditing capabilities, and enterprise-grade administrative tools.

AI/ML and Algorithm Development

• Collaborate with AI/ML teams to operationalize models such as OCR (Optical Character Recognition) and generative AI-based solutions (e.g., GPT models).
• Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding techniques to enhance application functionality.
• Design workflows for large-scale data processing that enable efficient AI integrations and create dynamic AI-first features, such as custom GPTs tailored to enterprise needs.

DevOps & Operationalization

• Establish CI/CD pipelines and formal release structures for software delivery.
• Conduct security evaluations to identify vulnerabilities and optimize performance across AI-driven SaaS applications.
• Manage infrastructure and workflows for custom AI solutions, including tools like Snowflake and LangChain.

Future-Focused Development

• Build integrations and proof-of-concept applications leveraging company-specific datasets and AI technologies.
• Evaluate and implement tools for classification, indexing, and secure data management that incorporate the latest in generative AI advancements.
• Support the development of enterprise-grade AI solutions, including internal AI models and custom LLMs.

Requirements

Core Technical Skills

• Proficiency in Python and Ruby on Rails, with significant backend experience.
• Experience in designing secure systems, including encryption workflows and document protection mechanisms.
• Hands-on expertise in integrating generative AI tools, such as OpenAI APIs, LangChain, or Hugging Face frameworks, into SaaS applications.
• Strong knowledge of RAG techniques, vector databases (e.g. Pinecone, Weaviate), and embedding pipelines.
• Ability to operationalize AI/ML models and build workflows for enterprise clients.
• Frontend development experience in modern frameworks (e.g, React, Vue), with the ability to assess and recommend appropriate tech stacks.

Nice-to-Have Skills

• Computer vision and OCR expertise, especially for processing and indexing complex document workflows.
• Experience with authentication systems (e.g., Okta) and enterprise administrative tools.
• Experience in DevOps, CI/CD pipelines, and secure release management.
• Background in security evaluations, vulnerability assessments, and tool integrations.

Other Requirements

• Strong testing background with experience in automated and manual testing.
• Ability to manage data recovery, audits, and compliance workflows.
• Strong problem-solving and analytical skills, with attention to detail in complex environments.
• Excellent communication skills and the ability to work collaboratively across teams.

Why Join Us?

• Be part of a cutting-edge team solving complex problems in AI and SaaS development.
• Work on impactful projects with enterprise clients and cutting-edge technologies.
• Grow your career in a collaborative, innovative, and supportive environment.

If you're excited about working on secure, scalable systems while integrating advanced AI and ML capabilities, we’d love to hear from you.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Director of AI and Enterprise Architecture

Who We Are: 

Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology provider and close collaboration with our team and customers.

With locations in Montreal, Kitchener and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.

We are Quadbridge. See how we’re building tomorrow’s solutions, together.

This Role:

The Head of AI and Enterprise Architecture is a leadership role responsible for defining and executing the organization’s AI strategy and enterprise technology architecture to enable scalable, secure, and value-driven digital transformation.

This role bridges business strategy, emerging AI capabilities, and core enterprise platforms, ensuring that innovation is aligned with architectural standards, governance, and long-term sustainability. The ideal candidate combines deep technical credibility with strong business acumen and executive influence.

This role reports directly to the : SVP, Technology, Services & Innovation.

Responsibilities:

The Head of AI and Enterprise Architecture will shape how technology drives competitive advantage across the organization for years to come. This role is critical to ensuring that AI adoption is intentional, scalable, and responsible, and that enterprise architecture acts as an enabler—not a bottleneck—of innovation.

AI Strategy & Enablement

· Define and lead the enterprise AI strategy, including use-case identification, prioritization, and value realization across business functions.

· Oversee the design, adoption, and scaling of AI solutions, including generative AI, machine learning, intelligent automation, and analytics platforms.

· Establish AI governance frameworks covering ethics, risk, security, privacy, model lifecycle management, and regulatory compliance.

· Partner with business leaders to translate strategic objectives into practical, high-impact AI initiatives.

· Track and report on AI value delivery, adoption, and business outcomes.

Enterprise Architecture Leadership

· Own the enterprise architecture vision, principles, and roadmaps across business, application, data, integration, and infrastructure domains.

· Ensure architectural alignment with business strategy and modernization initiatives.

· Lead architecture reviews to ensure solutions are scalable, resilient, secure, and cost-effective.

· Drive simplification, technical debt reduction, and platform rationalization across the technology landscape.

· Establish and maintain architecture standards, reference architectures, and decision frameworks.

Technology & Platform Strategy

· Guide cloud, data, integration, and platform strategies to support AI-driven and digital-first capabilities.

· Collaborate with cybersecurity, applications, and infrastructure leaders to ensure secure-by-design architectures.

· Evaluate emerging technologies and vendors, making recommendations aligned to enterprise strategy and ROI.

Leadership & Stakeholder Engagement

· Lead and mentor team of data and AI specialists.

· Act as a trusted advisor to senior leadership, providing clear guidance on technology trade-offs and investment decisions.

· Build strong partnerships with business teams to ensure alignment and execution.

· Represent the organization externally with vendors, partners, and industry forums as needed.

Required Skills and Qualifications

· 10+ years of progressive experience in enterprise architecture, technology strategy, or digital transformation, with senior leadership responsibility.

· Demonstrated experience leading AI initiatives at enterprise scale.

· Strong understanding of:

o Enterprise architecture frameworks (e.g., TOGAF or equivalent)

o Cloud platforms and modern application architectures

o Data platforms, integration patterns, and APIs

o AI/ML and generative AI concepts, risks, and operational considerations

· Proven ability to align technology strategy with business outcomes and financial value.

· Excellent communication and stakeholder-management skills

Preferred

· Experience operating in technology solutions provider environments.

· Familiarity with AI governance, responsible AI practices, and emerging regulations.

· Background in consulting, architecture leadership, or large-scale transformation programs.

· Relevant certifications (e.g., TOGAF, cloud certifications, AI/ML credentials).

Education & Certifications

· Bachelor’s degree required.

· TOGAF or equivalent enterprise architecture certification preferred.

· Cloud and AI certifications are a strong asset.

Why Quadbridge: 

• Grow With Us– Take advantage of ongoing professional training and development opportunities.
• Comprehensive Coverage– A complete health, dental, life and LTD insurance plan
• Top-Tier Equipment– We provide everything you need to do your best work.
• A Vibrant Workplace– Join us for monthly social and team building events.
• Perks You’ll Love – In our Montreal office, enjoy an onsite chef and gym.
• Stay Connected – Receive a phone allowance to keep you plugged in.
• Bring Your Best Friend– Our offices are pet-friendly!
• Invest in Your Future– Benefit from our RRSP program to help you plan ahead

Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met.

Work Schedule:

Monday to Friday, 8:30 a.m. to 5 p.m.
Full-time, permanent, hybrid

Salary range:

$165k to $180k per year, plus bonus

Application deadline: May 11, 2026.

This offer is for an existing vacancy.

Ce poste est également affiché en français. 

About TTC

The Testing Consultancy is a global specialist software testing company with a focus on helping organizations transform the way they deliver quality software. We provide expert testing and quality engineering services that enable our clients to move faster, reduce risk, and deliver high quality software at scale.

Perks of Working for TTC

• Full Time Employment
• Remote Work Model within Canada
• Competitive Base Salary
• Work Life Balance
• Collaborative and Supportive Culture
• Growth and Development Opportunities

Location
Remote Canada
Preferred locations include Toronto Ontario or Montreal Quebec

Summary

The Test Automation Architect is a senior, hands on leadership role responsible for leading and evolving the automation practice across multiple delivery teams. This role requires a strong balance of strategic thinking and technical execution. The Test Automation Architect will define automation standards, set technical direction, mentor engineers, and actively contribute to framework design and complex automation challenges when needed.

This role plays a critical part in shaping how, when, and why automation is applied across the organization, ensuring scalable, maintainable, and effective automation solutions that support fast moving delivery teams.

Responsibilities

• Lead and support multiple test automation teams while setting technical direction and quality standards
• Design, build, and evolve scalable test automation frameworks primarily using Python and or Java
• Define automation strategy and provide guidance on when automation adds value versus when manual testing is more appropriate
• Act as a technical mentor and coach, supporting team growth and adoption of best practices
• Establish and enforce automation best practices, coding standards, and review processes
• Partner closely with QA, engineering, and product stakeholders to align testing approaches with delivery goals
• Remain hands on when required by contributing to framework development, troubleshooting, and critical initiatives
• Proactively identify risks, gaps, and opportunities for improvement across automation practices
• Communicate effectively with both technical and non technical stakeholders
• Continuously evaluate and adopt new tools, technologies, and approaches to strengthen the automation practice

Technical Skills and Experience

• Strong experience as a Test Automation Architect, Lead, or Senior Automation Engineer
• Deep expertise in Python and or Java for test automation
• Proven experience building and maintaining robust automation frameworks
• Experience leading or mentoring multiple automation teams
• Strong understanding of test strategy, test design, and quality engineering principles
• Ability to balance architectural leadership with hands on execution
• Excellent communication and collaboration skills
• Experience working effectively in a remote and distributed team environment

Nice to Have

• Experience testing IVR systems, Sierra, or contact center platforms
• Exposure to testing Generative AI solutions or LLM based systems
• Experience working in complex enterprise environments or large scale systems

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Information Systems, or a related field
• Significant experience in test automation and quality engineering in senior or lead roles
• Demonstrated ability to drive automation strategy while supporting delivery teams

If your experience and qualifications align with this role, we encourage you to apply. Experience comes in many forms and skills can be transferable. At TTC, we value diversity, continuous learning, and different perspectives, and we welcome candidates from all backgrounds.