MaintainX est la première plateforme mobile au monde dédiée à la gestion des actifs et des tâches dans les environnements industriels et de première ligne. Nous proposons une solution moderne, basée sur l'IoT et le cloud, qui facilite la maintenance, la sécurité et l'exploitation des équipements et installations physiques.

Nous aidons plus de 12 000 organisations, dont Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem et Shell, à atteindre l'excellence opérationnelle et la fiabilité à grande échelle.

À la suite de notre série D de 150 millions de dollars menée par Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures et Ridge Ventures, MaintainX a levé un total de 254 millions de dollars, valorisant la société à 2,5 milliards de dollars.

Alors que nous entrons dans notre prochaine phase de croissance, nous investissons massivement dans l'IA/ML, les LLM et l'IoT industriel afin de transformer le mode de fonctionnement des équipes de première ligne, en prédisant les pannes avant qu'elles ne se produisent, en automatisant les flux de travail et en intégrant l'intelligence dans chaque actif et chaque procédure.

Le poste

Nous recherchons un développeur(se) senior en apprentissage automatique appliqué hautement qualifié et motivé pour orienter la direction technique et l'architecture de nos initiatives en matière de maintenance prédictive et d'intelligence des actifs.

Vous combinerez une expertise approfondie en apprentissage automatique avec de solides compétences en génie logiciel et en sens du leadership. Vous encadrerez des ingénieurs, développerez des systèmes et piloterez la feuille de route pour l'intelligence de maintenance basée sur l'IA sur des milliers de sites industriels.

Ce poste se situe à la croisée de l'architecture d'apprentissage automatique, des systèmes de données IoT et de l'impact des produits, et constitue le fondement de la stratégie d'IA prédictive et générative de MaintainX.

Ce que vous ferez:

• Diriger la direction technique pour la maintenance prédictive, la détection des anomalies et l'intelligence alimentée par LLM dans tous les produits MaintainX.
• Concevoir des systèmes ML de bout en bout, de l'ingestion des données et le développement des fonctionnalités à la formation, au déploiement et à la surveillance des modèles.
• Encadrer une équipe croissante de développeurs(ses) ML et de données, en inculquant les meilleures pratiques en matière d'expérimentation, d'évaluation et de gestion du cycle de vie des modèles.
• Collaborer avec les responsables des produits et de développement afin d'aligner la feuille de route de l'IA sur les besoins des clients et les objectifs commerciaux.
• Concevoir des boucles de données et de rétroaction fiables qui relient la télémétrie des clients et les commentaires des opérateurs au réentraînement des modèles.
• Optimiser les performances grâce à des techniques telles que la quantification, la distillation et le service d'inférence évolutif.
• Travailler avec des cadriciels LLM (LangChain, LlamaIndex, Hugging Face) pour créer des systèmes de raisonnement et des flux de travail agentifs pour l'intelligence des actifs et du travail.
• S'assurer que l'infrastructure ML répond aux normes de production en matière de latence, de fiabilité, d'explicabilité et de sécurité.

À propos de vous:

• Plus de 7 ans d'expérience dans le domaine de l'apprentissage automatique, de la science des données ou de l'IA appliquée.
• Expertise en Python et excellente maîtrise de PyTorch, TensorFlow et des piles ML cloud (AWS, Databricks ou similaires).
• Expérience avérée dans le déploiement à grande échelle de systèmes ML de production, et pas seulement de prototypes.
• Solide expérience en LLM, modélisation de séries chronologiques et détection d'anomalies pour les données du monde réel.
• Capacité avérée à diriger les décisions architecturales, à encadrer les développeurs(ses) et à collaborer avec les équipes chargées des produits, des données et des plateformes.
• Connaissance des outils MLOps (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Diplôme de deuxième cycle (master/doctorat) en informatique, apprentissage automatique ou dans un domaine connexe préféré.

Une attention particulière est accordée aux candidats présentant les caractéristiques suivantes:

• Expérience avec l'OCR pour l'extraction de données structurées à partir de documents.
• Expérience dans la modélisation de séries chronologiques pour la maintenance prédictive et la détection d'anomalies.
• Connaissance des systèmes IoT industriels (capteurs, télémétrie, edge computing).
• Expérience dans l'application de l'apprentissage par renforcement ou des architectures agentuelles pour les systèmes de prise de décision et de contrôle.
• Contributions à des frameworks ML open source ou à la recherche dans les domaines de la fiabilité, de l'explicabilité ou des jumeaux numériques.

Quels sont les avantages pour vous?:

• Un salaire compétitif et des opportunités d'équité significatives.
• Couverture des soins de santé, des soins dentaires et de la vue.
• Programme d'inscription 401(k) / RRSP.
• Prenez les congés dont vous avez besoin.
• Une culture du travail :
• Vous travaillerez avec des personnes intelligentes, humbles et optimistes à travers le monde.
• Un environnement méritocratique où les idées et les résultats sont publiquement célébrés.

Qui sommes-nous:

MaintainX s'engage à créer un environnement diversifié. Tous les candidats qualifiés seront pris en considération pour un emploi sans considération de race, de couleur, de religion, de sexe, d'identité ou d'expression de genre, d'orientation sexuelle, d'origine nationale, de génétique, d'invalidité, d'âge ou de statut d'ancien combattant.

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.

Role Description

• As an Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
  
  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.

Key Responsibilities:

• AI Discovery & Solutioning: Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.

• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.

• Deep understanding of business processes native to the Energy sector (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.

• Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Senior or Lead Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights and actions to ensure that customers receive maximum value. You always leverage the newest features and functionalities of the Celonis software, such as Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

Initiate 

• Conduct Business workshops to translate customers' strategic objectives into high-impact Celonis use cases
• Coordinate with Data Operations team from Celonis to connect our solution to the customer IT environment (data extractions)

Implement

• Lead the Celonis implementation project to ensure the optimal solution to tackle the defined use cases (Data modelling, Data transformations, Process analysis building, KPIs building)
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer

Adopt 

• Lead the value creation workshops and define measures to improve process inefficiencies
• Define the most relevant KPIs measuring the customer’s success
• Quantify the business and financial potential and present the findings to the management
• Automate tasks to drive value and improve the process conformance rate

Monitor and enable

• • Manage customer expectations and project planning
  • Demonstrate and train customers users (set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• (Senior) 4+ years working experience in IT-Consulting, Solution/Data Consulting or Process Improvement Consulting, within Software Vendors, Consulting firms or System integrators
• Demonstrated ability to translate business requirements into technical solutions (Data models) 
• You are knowledgeable of data related languages (SQL Required)
• Highly Preferred: Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• A strong appetite for value driven approaches (KPIs definition, business case calculations, value realization approaches) and Data topics (Big Data, Data Mining, and Process Mining)
• General understanding of companies business processes and related financial metrics and are willing to learn in this area. Knowledge of standard ERPs (SAP and related business processes (Order to cash, procure to pay…) is a strong plus. 
• Willing to develop a strong expertise on a solution through a continuous learning approach
• Strong consulting skills and enjoy interacting with various customers (Business workshops up to solution demonstrations)
• Excellent analytical skills, well-organized and you are known for being a quick learner
• Fluency in English
• Bachelors or Masters in: Technology Management, Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Relay is transforming the physical world into a searchable, actionable data asset. We’ve moved beyond "Big Radio's" analog past to build the Relay SOAR™ Platform, which treats voice and movement as the new keyboards of the enterprise. By capturing the "Human Signal," we enable frontline teams in hospitality, manufacturing, and healthcare to move from reactive chaos to proactive control.

Ranked among the fastest-growing tech companies in North America, we are looking for the next generation of "Relayers" to help us digitize the final frontier of the workforce.

Why Start Your Career at Relay?

• Work at the Edge of Innovation: We just secured our 100th patent. You’ll work with technologies spanning AI-driven noise suppression, real-time language translation, and advanced IoT connectivity.
• Massive Scale: Be part of a platform that processes over 1 billion data points every week. Our tech isn't just "cool"—it’s essential infrastructure for the global economy.
• LIT Culture (Learning, Impact, Teamwork): We pride ourselves on an environment where early-career professionals have a seat at the table and see their work impact global brands immediately.
• Hyper-Growth Trajectory: With 461% growth and new C-suite leaders who have led successful IPOs, you are joining a rocket ship at the perfect time.
• Best-in-Class Perks: Based in our high-tech Raleigh headquarters, you’ll enjoy 100% company-paid benefits, a 401(k) match, and a hybrid work model that balances flexibility with high-energy collaboration.

Ready to help us build the Intelligent System of Action? 

Here at Relay, our technology stack solves complex problems. We use a diverse set of languages, including Erlang, Java, C, C++, JavaScript, and occasional Python scripts. We are agile in our responsiveness to user and business needs, not for the sake of adhering to agile orthodoxy, but being pragmatic.

We are looking for an intellectually curious engineer to join our team as we scale. We bias towards action, while maintaining the balance between speed and technical debt. We are not afraid to take on big challenges, but we strive for the simplest solution. Quality is a constant focus. We operate what we build and hold ourselves accountable for the code we write. As a startup, we use nimble and lean teams, and you’ll make meaningful contributions to the product very quickly! There are lots of opportunities to learn new things, and we are constantly delivering to customers. Scale is a key focus for our team. As we see continued growth, team members are expected to think about and improve the scalability of all aspects of the product. You’ll focus on new product development of our communication platform. The platform consists of the following components, each with its own team. There are opportunities to move across teams.

Responsibilities:

• Collaborate with cross-functional teams to identify business challenges and opportunities that can benefit from machine learning solutions. Conduct research and stay updated on the latest advancements in machine learning to recommend and implement appropriate approaches.
• Design, build, and fine-tune machine learning models, algorithms, and statistical analysis to solve complex business problems. Utilize various techniques such as supervised, unsupervised, and deep learning to ensure optimal model performance.
• Prepare and preprocess large-scale datasets to extract relevant features and improve model training efficiency and accuracy. Implement data cleaning, feature engineering, and data augmentation techniques.
• Conduct rigorous evaluation and testing of machine learning models to assess their effectiveness and robustness. Optimize model parameters and hyperparameters to achieve optimal performance and generalization.
• Collaborate with the software engineering team to integrate machine learning models into the production environment. Ensure scalability, reliability, and efficiency of deployed models.
• Establish mechanisms for monitoring the performance of deployed models and identifying potential issues. Proactively maintain and update models as necessary to adapt to changing data and business requirements.
• Ensure compliance with data privacy regulations and implement security measures to protect sensitive information.
• Maintain comprehensive documentation of model development, methodologies, and results to facilitate knowledge sharing and continuous improvement.
• Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define requirements and support product development with your machine learning expertise.

Experience, qualifications, and skills (what you’ll have):

• Bachelor's or Master's degree in Computer Science or a related field
• Strong theoretical and practical understanding of core Machine Learning and Deep Learning concepts (e.g., architectures, optimization/training, evaluation)
• 1+ years of development experience in Python and a modern machine learning framework such as PyTorch or JAX (including experience in coursework/research / internships)
• Experience using the Linux tool chain
• Understanding of typical web API protocols and transports (e.g., HTTP, Websockets, SSE)
• Experience with managing 24/7 Linux systems, cloud hosting providers (AWS), infrastructure-as-code concepts (Terraform, Ansible, etc), distributed systems, observability tools (OpenSearch, Grafana)
• Desired, but not required, is experience with advanced LLM topics: such as LoRA and quantization, functional programming: such as Erlang and Elixir, systems programming: such as Rust and C++, distributed systems, and key-value databases.

About us: Relay culture, benefits & perks:

First and foremost, our culture hinges on Relayers getting LIT up in an environment that fosters learning, impact, and teamwork (LIT) where we can do the best work in our lives. We call this BWIML (pronounced bee wimmel = Best Work In My Life)!

It's truly amazing what engaged team members can achieve together. Our ever-evolving list of benefits and perks means you'll be able to integrate work into your whole life, focus on health, perform impactful work, grow and learn in your role, look after yourself/your family, and invest in your future. 

At Relay, we offer...

• 100% Paid Insurance Health, Dental, Vision, Long/Short Term Disability, and Life Insurance benefits for you and those who depend on you
• Generous Paid Time Off
• 401(K) Savings Plan + Company Match
• Baby Cash Reward + Paid Parental Leave
• Wellness Perks, including a world-class onsite fitness center with instructor-led classes + locker room, as well as endless outdoor amenities, whether tennis, basketball, cycling, or pickleball is your jam
• Free Snacks and Fun Times
• Latest tech, standing desks, and all the accessories and software you need to succeed in your role

The Relay Hybrid Work Model

At Relay, relationships are at the core of everything we do - and this translates to how we approach our customers and our work internally. Relay strives to be a long-term relational partners versus a transactional vendor to our customers. You will be encouraged to get in front of our customers and/or attend a trade show as a Relayer, regardless of your role. 

Internally, Relayers strive to build authentic, caring, and trusted relationships with one another.

With these principles in mind, and because we believe relationships are formed more quickly and deeply in person, we greatly value the power of collaborating with our customers on-site at their properties, and with each other in our spectacular and amenity-rich office.

Our relational approach is also at the heart of why we ask all Relayers in our hybrid model to work from the office a minimum of 3 days per week on Mondays, Wednesdays, and Fridays. During your onboarding you should expect to be in the office daily in order to build relationships and your knowledge base as you ramp into the organization!

Underpinning all of this is the core principle of flexibility.  If it’s best for your mission, a given week to work remotely more often, we encourage our team members to maintain open lines of communication with their managers and find a solution that supports those needs in a given timeframe/season.