ML Engineer

📋 Description

• Design and maintain scalable data pipelines for ingestion and feature stores.
• Build workflows to extract, store, and retrieve semantic data for search.
• Architect analytics and dashboards with natural language queries and AI insights.
• Define prompt engineering, orchestration, and model fine-tuning for chat interfaces.
• Oversee vector stores and indexing for retrieval-augmented generation (RAG).
• Partner with data stakeholders to translate LLM needs into scalable solutions.

🎯 Requirements

• Data & ML Engineer with 5+ years building scalable data infra.
• Excellent English communication skills.
• Strong Python for data engineering and large-scale processing.
• Deep understanding of vector databases and RAG architectures.
• Experience integrating open-source LLM frameworks into data workflows.
• Experience with cloud platforms like AWS or Azure ML.

🎁 Benefits

• Remote work opportunity
• Stable job with long-term growth
• Really good hardware
• An exciting and challenging job with talented people
• Continuous learning and career growth opportunities
• Company-supported English classes to enhance your professional growth