Data & Machine Learning Engineer

📋 Description Design, develop, and maintain scalable data pipelines for ingestion and delivery to feature stores. Build workflows for extracting, storing, and retrieving semantic data for advanced search. Architect analytics and dashboards delivering natural language query and AI insights. Define processes for prompt engineering, orchestration, and model fine-tuning. Oversee vector stores and indexing for retrieval-augmented generation (RAG). Partner with data stakeholders to translate language-model needs into solutions. 🎯 Requirements 8+ years as Data Engineer; 2+ years in MLOps. Excellent English communication with BI teams. Strong Python for data engineering tasks and large-scale processing. Deep understanding of vector databases and RAG architectures. Experience integrating open-source LLM frameworks for training and inference. Cloud platforms: AWS or Azure ML for managed LLM deployments. 🎁 Benefits Vector databases like DataStax AstraDB; LangChain/LlamaIndex for RAG. HF Transformers/LLaMA-4 for end-to-end LLM workflows and fine-tuning. MLOps tooling and CI/CD for model versioning and deployments.