Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

Valtech is looking for a Senior Cloud Engineer (Azure). Have you earned your stripes in cloud engineering, do you have a DevOps mindset, and understand the meaning of your work for other specialists? Do you know how to organize your work and that of others? Are you a team player who cares about the team and is willing to take the point if things get rough, while sharing successes together? Can you convince a client to make the right decision? This may just be the job for you.

Valtech and Cloud Engineering

Valtech is a leading global agency in the business of digital transformation. We help our client transform their business into a true digital experience. In this mission, we design, build, and run large-scale global experience and commerce platforms in co-creation and co-operation with our clients. Experience and commerce platforms have drastically evolved over the last years in complex ecosystems that tie together multiple services of multiple vendors – also known as MACH or composable architecture. As a founding member of MACH Alliance, a group that educates enterprises on best-of-breed Microservices, APIs, Cloud, and Headless (MACH) technology, Valtech pioneers in how to properly build and manage those complex ecosystems. Site reliability engineering is at the core of our vision for how this modern-day distributed ecosystem should and can be managed.

A day in the life of a Senior Cloud Engineer (Azure)

As a Senior Cloud Engineer (Azure), you are part of a multidisciplinary project team working with software engineers, QA engineers, and frontend engineers on experience and commerce platforms. You will work with Infrastructure as Code (mostly Terraform), support teams in setting up their pipelines, helping them to deploy and scale their applications, design and ensure security on the cloud infrastructure of our client, set up recovery procedures, etc. You’ll work with containerized environments hosted either in Azure PaaS (Container Services, App Service, Azure functions) or on Kubernetes (AKS), although at times you will also work in an IaaS context with VMs.

On top of that, you help teams to grow and incorporate cloud techniques – these teams may contain cloud engineers, but could also consist of DevOps-minded software engineers. You participate in the European cloud team and actively contribute to growing the cloud engineers in that team. You help with advice, estimates, risk analysis, and proactively alert project management around cloud work streams. You’re supporting cloud and solutions architects by assessing their solutions for feasibility and against the competencies and skills of the teams that need to execute them. You sometimes jump into projects to help them overcome a bump in the road and help colleagues to identify problems for what they are, and help them find the appropriate solution and to get the time they need to implement that solution.

Role responsibilities

• Building, changing, and maintaining cloud infrastructures in Azure – compute, data, and networking.
• Setting up logging, monitoring, and security.
• Support and teach teams to set up and maintain their pipelines.
• Coach mid and junior colleagues to improve their technical skills.
• Proactively advise teams, clients, and projects on cloud-related improvements in the areas of performance, availability, security, reliability, and cost effectiveness.
• Help project and service managers to budget and plan cloud work, identify project or SLA risks.
• Coordinate cloud work in a project with multiple cloud engineers.
• The single point of contact for client, project, and service management on cloud topics for a specific project.
• Make sure that documentation is created and maintained.
• Govern automation at the right level and quality.
• Supervise compliance with security standards and client requirements.

Must have qualifications

You and the role

You are someone with at least 5 years of experience as a cloud engineer in Azure. You communicate clearly, transparently, and proactively. You have worked in an environment where you needed to work together with developers to get things done. You have experience with public-facing online applications, high availability, and high traffic. You have a cooperative attitude, a DevOps mindset, and as such, you're interested in the work of others. You communicate easily and can explain technical concepts to non-technical people. You have a clear understanding of what information is needed at which time for a project manager or for the client. You have organizational sensitivity (and can explain what this means).

You have respect for your colleagues and embrace diversity in all its aspects.

To be considered for this role, you must meet the following essential qualifications: 

• You are assertive with good communication skills.
• You have experience with Infrastructure as Code, preferably Terraform.
• You have solid knowledge of the serverless services of Azure.
• You have knowledge and experience with monitoring systems, such as Application Insights, Azure Monitor, Datadog, New Relic, Dynatrace, Prometheus, Grafana, and Tempo.
• You have knowledge of and experience with various pipelining tools, such as GitHub and Azure DevOps.
• You have knowledge of and experience with microservices-related technology: Docker and Kubernetes.
• You have a good conceptual understanding of cloud architecture and system thinking.
• You have worked as an engineer in a DevOps context.
• You have an excellent command of English (C2).
• Are familiar with the following technologies:
  • Container services
  • AKS
  • Azure functions
  • SQL as a service
  • Cosmos DB
  • Azure Monitoring (including APM)
  • AppGW, AFD, NSG, Azure Firewall
• Have worked within the context of publicly accessible, highly available eCommerce and / or experience platforms.
• Have experience working in an international context with on- and off-shore teams.
• You are used to communicate with external clients.

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

• Private health insurance
  We hope you will never need it, but nevertheless, we offer private health insurance to all our employees.

• Education program
  We never stop learning, that’s why we offer our employees an educational program with training and certification.

• Wellbeing program
  We all deserve to live a healthy and well-balanced life. It's not an option, it's a necessity!

• Free beverages
  Enjoy free coffee, drinks, and snacks at work, or join one of our famous company dinners.

• Events
  We enjoy spending time together, not only at work. Ski trips, carting, laser-tag, wine tasting, picnics, cooking classes… you name it – we’ve done it! There are plenty of cool events to join and to get to know your colleagues.

• Competitive conditions
  Besides a competitive salary and 24 days of vacation, you will join annual company events with the whole team.

• Challenging projects
  Ready for a challenge? We guarantee you’ll find challenging projects at Valtech!

• Cool colleagues
  What’s the most important thing in a job? Cool colleagues with whom you spent most of the time during the week. We have a lot of them!
  
  
• Honest feedback
  Honesty, openness and respect are among our core values. We encourage an open feedback culture in order to build trust and grow together.
  
  

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. 

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Senior Frontend Engineer (React), you are passionate about innovation and eager to push the boundaries of what’s possible. You bring 7+years of experience, a growth mindset and a drive to make a lasting impact.  

You will thrive in this role if you are:  

• A curious problem solver who challenges the status quo  

• A collaborator who values teamwork and knowledge-sharing  

• Excited by the intersection of technology, creativity and data  

• Experienced in Agile methodologies and consulting (a plus)  
  
  

Role responsibilities 

As a Senior Frontend Consultant within our organization, you will be a part of the team building e-commerce solutions for our clients who need to handle the daily challenges of scaling, resilience, and performance. 
 
You will work in an agile way in cross-functional global teams to deliver exceptional user experiences. You will develop innovative approaches for displaying rich datasets to users in an easy-to-use, intuitive way. You will be expected to develop features, take part in the estimation process, conduct code reviews, and assist less senior developers. 
 
As Consultant, you are expected to develop expertise both in technology and the means to communicate complex concepts and rationale to non-techies. We’ll encourage and support this with frequent opportunities to share ideas internally. 

Must have qualifications 

To be considered for this role, you must meet the following essential qualifications:  

• Expertise in HTML5/CSS3, including preprocessors like LESS/SASS, and methodologies such as BEM. 

• 7+ years of experience with React.js  

• Strong experience with Next.js. 

• Proficiency in JavaScript (ES5+) and TypeScript. 

• Hands-on experience consuming REST APIs. 

• Knowledge of Git and version control systems. 

• Understanding accessibility standards and best practices. 

• Awareness of SEO standards and how they apply to front-end development. 

• Familiarity with unit testing and related testing frameworks. 

• Familiarity with Commercetools or other headless commerce platforms. 

• Proven ability to work effectively in Agile and Scrum methodologies within cross-functional teams. 

• Strong communication, collaboration, and time management skills with a high sense of accountability. 

• Advanced level of English proficiency 

Nice to have qualifications   

• Interest or experience in modern front-end tools and processes. 
  Headless CMS (Contentfull, Contentstack, Bloomreach) 

• Experience with Microservice architecture 

• Experience with Cloud environment (Azure or AWS) 

• Exposure to Node.js development. 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  
 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

• Private health insurance
  We hope you will never need it, but nevertheless, we offer private health insurance to all our employees.

• Education program
  We never stop learning, that’s why we offer our employees an educational program with training and certification.

• Wellbeing program
  We all deserve to live a healthy and well-balanced life. It's not an option, it's a necessity!

• Free beverages
  Enjoy free coffee, drinks, and snacks at work, or join one of our famous company dinners.

• Events
  We enjoy spending time together, not only at work. Ski trips, carting, laser-tag, wine tasting, picnics, cooking classes… you name it – we’ve done it! There are plenty of cool events to join and to get to know your colleagues.

• Competitive conditions
  Besides a competitive salary and 24 days of vacation, you will join annual company events with the whole team.

• Challenging projects
  Ready for a challenge? We guarantee you'll find challenging projects at Valtech!
  
  
• Cool colleagues
  What's the most important thing in a job? Cool colleagues with whom you spent most of the time during the week. We have a lot of them!
  
  
• Honest feedback
  Honesty, openness and respect are among our core values. We encourage an open feedback culture in order to build trust and grow together.

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Senior Node.js Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 
  
  

Role responsibilities

As a Senior Node.js Engineer, you will be responsible for designing, developing, and maintaining scalable, high-performance backend services that power modern digital platforms. You will play a key role in architecting microservices-based solutions and ensuring clean, maintainable, and production-ready code aligned with enterprise standards. 

Beyond implementation, you will actively bridge architecture and delivery — translating high-level system designs into robust, secure, and scalable technical solutions. You will challenge architectural assumptions when needed and ensure that technical decisions are pragmatic, sustainable, and aligned with business goals. 

You will: 

• Take ownership of backend domain architecture and drive technical excellence 

• Design and implement cloud-native solutions on AWS/Azure with scalability and resilience in mind 

• Lead complex integrations with eCommerce platforms, payment providers, CMS systems, and third-party services 

• Identify technical risks, performance bottlenecks, and architectural gaps early 

• Advocate for best practices in code quality, testing, CI/CD, and DevOps 

• Contribute to defining engineering standards and improving development processes 

• Support and mentor developers by reviewing code and promoting strong engineering principles 

You will collaborate closely with frontend engineers, architects, DevOps engineers, QA, and product stakeholders across international teams, ensuring alignment between technical design, implementation, and business outcomes in an agile environment. 

Key Responsibilities: 

• Design and develop scalable backend systems  

• Architect and implement microservices following best practices  

• Build and maintain RESTful and GraphQL APIs 

• Integrate with third-party systems such as payment providers, CMS, eCommerce platforms, and external APIs 

• Design cloud-native solutions on platforms such as AWS or Azure 

• Ensure application performance, reliability, scalability, and security 

• Write clean, testable, and maintainable code with high test coverage 

• Bridge the gap between architecture and implementation, ensuring alignment between design and code 

• Proactively identify risks, technical debt, and improvement opportunities 

Knowledge & Technical Skills: 

• Strong skills and hands -on experience with: NODE JS (a must), Typescript (a must), JAVA (a plus)  

• Hands on experience in designing & developing Microservices based on headless architecture, domain driven design  

• Hands -on experience with integration technologies including REST & GraphQL APIs, and event -driven architectures (service bus)  

• Hands -on experience in designing Cloud solutions based on enterprise cloud platforms (e.g. Azure, AWS)  

• Challenging the developers and architects to bridge the gap between the architecture and codebase level implementation  

• DevOps: GitHub, CI/CD, Docker, Kubernetes  

• Search & merchandising platforms (e.g. Algolia search, Elasticsearch)  

• Headless e-Commerce platforms (e.g. CommerceTools) and CMS experience (Bloomreach)  

•  Hands on experience with eCommerce integrations, payment processors, inventory systems, and external service APIs 

Soft Skills 

• Strong communication skills  

• Logical, rational, and no-nonsense realist  

• Customer obsessed – quality is key, and in the end the customer determines if you are successful  

• Very fast in understanding urgency and not afraid to commit to challenging timelines  

• Can do attitude, always looking for options to get the job done  

• Self -aware; you know what you do not know  

• Capability to anticipate and communicate issues and risks well  

• English speaking a must  

• Highly adaptable to new environments, new people, new culture; with a natural ability to embrace learning and develop through experience  

• High level of energy and ambition to realize a positive impact  

• Attention to detail  

• Strong interpersonal and communication skills with ability to affectively collaborate with all professional levels across many different countries and cultures 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

• Private health insurance
  We hope you will never need it, but nevertheless, we offer private health insurance to all our employees.

• Education program
  We never stop learning, that’s why we offer our employees an educational program with training and certification.

• Wellbeing program
  We all deserve to live a healthy and well-balanced life. It's not an option, it's a necessity!

• Free beverages
  Enjoy free coffee, drinks, and snacks at work, or join one of our famous company dinners.

• Events
  We enjoy spending time together, not only at work. Ski trips, carting, laser-tag, wine tasting, picnics, cooking classes… you name it – we’ve done it! There are plenty of cool events to join and to get to know your colleagues.

• Competitive conditions
  Besides a competitive salary and 24 days of vacation, you will join annual company events with the whole team.

• Challenging projects
  Ready for a challenge? We guarantee you'll find challenging projects at Valtech!
  
  
• Cool colleagues
  What's the most important thing in a job? Cool colleagues with whom you spent most of the time during the week. We have a lot of them!
  
  
• Honest feedback
  Honesty, openness and respect are among our core values. We encourage an open feedback culture in order to build trust and grow together.

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

• Understanding of statistical, ML and deep learning algorithms
• Analyze errors of models and design strategies to overcome them
• Deploy, maintain, and upgrade ML models and pipelines
• Ambition to learn and grow into different industries with a modern tech stack
• Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Required Hard Skills

• Bachelor's Degree in Computer Science or related
• 2+ years of ML engineering experience
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Bonus Points for Experience with…

• Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
• MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
• Visualizing and manipulating big datasets
• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack
• Autonomy and positivity—We’re a fully remote, globally distributed team
• Teamwork—Enjoy a collaborative approach
• Adaptability—Operate with a startup mindset and move at a startup pace

The Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Our Machine Learning teams build with the latest tools and launch for Silicon Valley startups and Life Science giants alike.

Join our team to work remotely, ship projects you’re proud be a part of, and enjoy every other Friday off (yes, we really take it 😎)

The Role

• Understanding of statistical, ML and deep learning algorithms
• Analyze errors of models and design strategies to overcome them
• Deploy, maintain, and upgrade ML models and pipelines
• Ambition to learn and grow into different industries with a modern tech stack
• Autonomy, adaptability and positivity (fully remote and globally distributed team)

The Required Hard Skills

• Bachelor's Degree in Computer Science or related
• 2+ years of ML engineering experience
• Experience with Python, ML libraries and AI/ML frameworks (PyTorch, HuggingFace, TensorFlow, etc.)

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Bonus Points for Experience with…

• Building GenAI solutions, namely prompt engineering (e.g: Langchain), fine-tuning and serving LLMs, search and embeddings, etc.
• MLOps, favorably in AWS (e.g: Sagemaker) as well as standards tools (e.g: MLFlow)
• Visualizing and manipulating big datasets
• NLP

The Required Soft Skills

• Curiosity—Ambition to learn and grow into different industries with a modern tech stack
• Autonomy and positivity—We’re a fully remote, globally distributed team
• Teamwork—Enjoy a collaborative approach
• Adaptability—Operate with a startup mindset and move at a startup pace

The Benefits

• Every other Friday off (26 extra days off a year)
• Remote and flexible
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. 

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience.