Senior ML OPS Engineer

Your responsibilities:

• Maintain and optimize existing MLOps pipelines for ingesting, chunking, embedding, and enriching unstructured data.
• Improve chunking and parsing logic to boost retrieval accuracy and LLM response quality.
• Enhance semantic and vector search performance using OpenSearch and related tools.
• Collaborate closely with Data Scientists, LLM engineers, and Backend Developers.
• Monitor and evolve a cloud-native production system hosted on AWS.
• Ensure the system is secure, scalable, and reliable as usage increases.

We are looking for you, if you have:

• 5+ years in MLOps, ML Engineering, or Data Engineering roles.
• Strong Python skills and hands-on experience with unstructured data.
• Proficiency with chunking strategies, embedding generation, and RAG optimization.
• Experience with OpenSearch, especially semantic/vector search capabilities.
• Familiarity with AWS services: S3, Lambda, Bedrock, SageMaker, CloudWatch.
• Knowledge of containers (Docker, Kubernetes), CI/CD, and IaC tools (Terraform, Ansible, CloudFormation).
• Solid grasp of ML concepts and DevOps best practices.
• Strong communication and troubleshooting skills. English B2+.

Nice to have: 

• Experience deploying and scaling LLMs in production.
• Familiarity with LangChain, HuggingFace, FAISS.
• Background in NLP, information retrieval, or knowledge graphs.

We offer:

• Participation in interesting and demanding projects
• Flexible working hours
• A great, non-corporate atmosphere
• Stable employment conditions (contract of employment or B2B contract)
• Opportunities for development and promotion
• Attractive package of benefits
• Remote work

We reserve the right to contact the selected candidates.