Ai Ml Engineer

Role & responsibilities

Key Responsibilities

• AI/ML Development: Design, implement, and maintain machine learning models, including deep learning, reinforcement learning, and transformer-based architectures. Develop GenAI/LLM pipelines and enable retrieval-augmented generation (RAG) workflows
• Data Engineering: Build scalable data pipelines for real-time and batch ingestion, transformation, and feature engineering. Optimize ETL/ELT pipelines in cloud data warehouses like Snowflake or Redshift
• MLOps: Implement model versioning, CI/CD pipelines, automated training, deployment, and monitoring to ensure production stability

Preferred candidate profile