Pay: Salary not listed in the saved posting
Work setup: Remote stated — work setup source
Position: AI/ML Engineer Location: Chennai - Remote Shift Timing: 3.00PM - 12.00AM IST
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Employment: Unconfirmed

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What you’ll bring

All qualifications

Core experience

10+ years in software, data engineering, 5 years AI/ML engineering
Experience with vector databases (Pinecone, Weaviate, etc.)
Hands-on experience building production AI/ML systems
Experience in regulated industries (insurance, finance, healthcare)
Experience with RAG pipelines, LLMs, or NLP-based systems
Experience with AWS Bedrock or similar GenAI platforms

Qualification wording

10+ years in software, data engineering, 5 years AI/ML engineering

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

Hands-on experience building production AI/ML systems

Experience in regulated industries (insurance, finance, healthcare)

Experience with RAG pipelines, LLMs, or NLP-based systems

Experience with AWS Bedrock or similar GenAI platforms

Tools in this posting

AWS
Docker
S3
SageMaker
Kubernetes

Source

- Manage model versioning, performance monitoring, and retraining processes Build on AWS - Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services

Build on AWS - Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services - Contribute to evolving use of AWS Bedrock

- Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services - Contribute to evolving use of AWS Bedrock Apply Responsible AI Practices

- 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 with data pipelines and distributed systems - Experience deploying and operating systems in AWS - Working knowledge of MLOps practices (CI/CD, monitoring, versioning)

- Experience in regulated industries (insurance, finance, healthcare) - Exposure to microservices and containerized environments (Docker, Kubernetes)

Job description

View original posting ↗

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)

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.dotsolved.com. The employer’s form will show what is required.

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Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Chennai, India
Position: AI/ML Engineer Location: Chennai - Remote Shift Timing: 3.00PM - 12.00AM IST
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at jobs.dotsolved.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 29, 2026
Recorded sightings: 17
Last seen by us: Sep 30, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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