Lead MLOps Engineer

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. The company helps enterprise organizations solve complex technical challenges and achieve business outcomes during digital transformation, with expertise in enterprise AI, data, analytics, cloud and DevOps, application modernization, and customer experience.

• Research and develop state-of-the-art AI/ML solutions and tooling for training, deploying, and monitoring models;
• Design secure, private, and highly performant AI/ML infrastructure;
• Partner with cross-functional teams and contribute to design discussions;
• Exchange constructive feedback and mentor junior engineers;
• Drive engineering excellence through design reviews, rigorous code reviews, and robust test automation;
• Ensure AI/ML systems remain maintainable and resilient at scale.

• 5–7+ Years of professional software engineering experience with a heavy focus on AI/ML;
• Master’s or PhD in Machine Learning, Computer Science, Computer Engineering, or equivalent experience;
• Deep understanding of traditional ML, including supervised and unsupervised learning;
• Strong understanding of Generative AI;
• Strong system design skills;
• Experience with high-scale distributed data processing;
• Strong Python programming skills;
• Working proficiency in Java and/or Scala;
• Hands-on experience with PyTorch, TensorFlow, or JAX;
• Proven experience with Ray and Apache Spark;
• Strong expertise in Kubernetes and containerized infrastructure for ML workloads;
• Experience building and maintaining ML pipelines with tools such as MLflow;
• Demonstrated experience designing and scaling production ML infrastructure;
• Experience mentoring engineers and acting as a technical leader within a team;
• Nice to have: privacy-preserving ML techniques, Generative AI / LLM developer tooling, global-scale products with high traffic or data volume, security engineering or privacy-focused system design, contributions to open-source ML infrastructure projects.

• Competitive salary;
• Flexible schedule;
• Medical insurance;
• Sports benefits;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.