MLOps Engineer (Machine Learning, MLFlow, Kubernetes, DVC)

Your Role

Your project

Your Tasks

• Ensure that machine learning models are efficiently deployed, maintained and monitored across environments.
• Automate deployment and update processes for machine learning models.
• Implement CI/CD pipelines for ML models and ML workflows.
• Set up monitoring, logging and observability for ML models and model-serving platforms.
• Optimize ML models and model delivery processes for production or near-production environments.
• Support AI and GenAI initiatives, including LLM-based solutions, RAG patterns and agentic workflows where relevant.
• Help establish reliable MLOps practices for model versioning, reproducibility, governance and responsible AI delivery.

Your Profile

• Master’s, engineer’s or bachelor’s degree.
• At least 4 years of experience in CI/CD and/or cloud technologies.
• Experience with Git, CI/CD tools, Kubernetes, Docker, ML frameworks such as TensorFlow or similar, monitoring and logging tools, and Infrastructure as Code.
• Practical experience with MLflow, DVC or similar tools supporting model lifecycle management will be an advantage.
• Hands-on experience in AI / GenAI, including practical use of LLMs, RAG patterns and agentic workflows in production or near-production environments, will be an advantage.
• Knowledge of vector search, embeddings, model-serving patterns or AI observability will be an advantage.
• Good written and verbal communication skills, minimum B2 English.

What You'll love about working here

• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
• Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI.

Get to know us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.