Senior MLOps Engineer (AWS & Databricks)

We are looking for a Senior MLOps Engineer (minimum 4 years of experience) to join an exciting project for a leading automotive company specializing in sustainable transport and heavy-duty vehicles. The project focuses on AI-driven optimizations in vehicle manufacturing, logistics, and fleet management.

This is a full-time position starting ASAP, and due to legal and contractual requirements, the candidate must be based in Poland.

💡 By joining us, you gain the following: 

• Opportunity to work on exciting, international projects in cutting-edge industries like Automotive, Biotech, IoT; 
• Possibility to develop in cloud technologies;
• Becoming part of a team that believes that the next step to a promising future is to put your heart into it and make it happen; 
• Respect for your private life so you don't have to work overtime or on weekends; 
• Team Events budget to socialize outside of work; 
• Company Events to celebrate smaller and bigger successes (Summer Party, Programmer's Day, and trips abroad – so far we've been in Cape Town, Are, and Barcelona). 

🚀 Perks and benefits: 

• Fully remote work or in our office in Wrocław; 
• Free benefits such as Luxmed, Multisport, and life insurance in Nationale Nederlanden; 
• Attractive referral system (9,5k for senior, 6k for mid, 2,5k for junior); 
• Personal Training Budget with additional paid hours; 
• Passion Day - an extra day off for your hobby to spend as you please; 
• Flexible working hours with no micro-management approach. Our core hours are 9-15, the rest of the working time is up to you; 
• We provide high-quality work equipment + 2 additional monitors and accessories. 

✅ You might be the perfect match if you are/have:

• At least 4 years of professional experience in similar role;
• Proven knowledge of AWS services in enterprise setups;
• Proficiency in Infrastructure as Code (Terraform preferred);
• Strong Python programming and software engineering practices;
• Hands-on experience with MLflow (tracking, registry, version control);
• Familiarity with ML platforms (Databricks, SageMaker, Vertex AI, or similar);
• CI/CD and DevOps mindset with container tools (Docker);
• English C1 (working language of the project).

🌟 Moreover, we appreciate skills in these areas:

• Advanced MLflow concepts;
• Practical knowledge of Apache Spark;
• Understanding of ML algorithms and model lifecycle;
• Deeper experience with Databricks;
• Interest in emerging AI stacks (LangChain, LangGraph, etc.).