Senior Data/ML Engineer

📋 Description

• Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery.
• Build and optimize workflows for semantic representations of unstructured data for search.
• Architect analytics and dashboards for natural language queries and AI insights.
• Manage prompt engineering, orchestration, and model fine-tuning for conversational interfaces.
• Oversee vector stores and indexing for retrieval-augmented generation (RAG).
• Collaborate with data stakeholders to translate requirements into scalable ML/data solutions.

🎯 Requirements

• 8+ years as Data Engineer with 2+ years in MLOps.
• Excellent English communication skills.
• Python for data engineering tasks including transformation and large-scale processing.
• Deep understanding of vector databases and RAG architectures.
• Experience with AWS or Azure ML for managed LLM deployments.
• Spark, Hadoop, and Kafka for distributed processing.

🎁 Benefits

• DataStax AstraDB, LangChain, LlamaIndex for LLM apps and RAG.
• Open-source LLM frameworks like Transformers and LLaMA-4.
• MLOps tooling and CI/CD pipelines for model versioning and deployments.