Senior Data/ML Engineer

8+ years of experience as a Data Engineer with 2+ years focused on MLOps. Excellent English communication skills. Demonstrated experience in utilizing python for data engineering tasks. Deep understanding of vector databases and RAG architectures. Skilled at integrating open-source LLM frameworks into data engineering workflows. Experience with cloud platforms like AWS or Azure Machine Learning. Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka. Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources. Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies. Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies. Proficiency in version control systems.

Design, develop, and maintain scalable data pipelines for feature stores, model-training, and inference services. Build and optimize workflows for semantic representation of unstructured data. Architect and implement analytics and dashboarding solutions with natural language querying. Define and execute processes for prompt engineering, orchestration, and model fine-tuning. Oversee vector data stores and develop indexing for RAG workflows. Partner with stakeholders to gather requirements for LLM initiatives. Create and maintain comprehensive documentation. Stay informed on emerging methodologies in data engineering, MLOps, and LLM operations.