AI/ML Engineer

Position: AI/ML Engineer

Location: Chennai - Remote

Shift Timing: 3.00PM - 12.00AM IST

Build AI Systems (Core Responsibility)

• Design and implement end-to-end AI/ML solutions including LLM-based applications
  • Build RAG pipelines using vector databases and enterprise data sources
  • Build machine learning models that automate their training, validation, monitoring, and retraining
  • Develop APIs and services to operationalize AI capabilities across the organization
  Develop Data + AI Pipelines

• Build ingestion for multi-modal content and transformation pipelines for structured and unstructured data
  • Integrate AI workflows with enterprise systems (policy, claims, billing, etc.)
  • Ensure data quality, traceability, reliability, and governance in all AI pipelines
  Operationalize Models (MLOps)

• Implement CI/CD for AI/ML workflows
  • Deploy, monitor, and maintain models in production
  • Manage model versioning, performance monitoring, and retraining processes
  Build on AWS

• Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services

• Contribute to evolving use of AWS Bedrock

• Implement guardrails for LLM-based systems (grounding, validation, safety)
  • Ensure secure handling of sensitive data (PII, financial, etc.)
  • Build systems aligned with enterprise governance and compliance standards
  Qualifications:

Required

• 10+ years in software, data engineering, 5 years AI/ML engineering
  • Hands-on experience building production AI/ML systems
  • Experience with RAG pipelines, LLMs, or NLP-based systems
  • Experience with AWS Bedrock or similar GenAI platforms
  • Experience with data pipelines and distributed systems
  • Experience deploying and operating systems in AWS
  • Working knowledge of MLOps practices (CI/CD, monitoring, versioning)
  Preferred

• Experience with vector databases (Pinecone, Weaviate, etc.)

• Experience in regulated industries (insurance, finance, healthcare)

• Exposure to microservices and containerized environments (Docker, Kubernetes)