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.