AI/ML Engineer

Position: AI/ML Engineer

Location: Chennai - Remote

Shift Timing: 3.00PM - 12.00AM IST

Responsibilities

• 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
• Apply Responsible AI Practices
  • 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)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.