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AI/ML Engineer

icon briefcase Job Type : Full Time
icon remote-alt Remote / Work from Home

Job Description - 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

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)


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About the Company

Dotsolved System Inc

Digital Transformation Services from dotSolved position the enterprise to adapt to change, raise innovation, and boost competitiveness.

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