AI/ML Engineer

Chennai, India

Live, first seen by us 29 days ago

Pay: Pay not listed
Work setting: Remote — work setting source
Position: AI/ML Engineer Location: Chennai - Remote Shift Timing: 3.00PM - 12.00AM IST
Read the full posting
Employment: Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting

Design and build end-to-end AI/ML solutions, including LLM-based applications
Build RAG pipelines using vector databases and enterprise data sources
Build ingestion and transformation pipelines for structured and unstructured data
Implement CI/CD, deploy and monitor models in production
Implement guardrails for LLM systems covering grounding, validation and safety

From the employer’s posting

Design and implement end-to-end AI/ML solutions including LLM-based applications

Build RAG pipelines using vector databases and enterprise data sources

Build ingestion for multi-modal content and transformation pipelines for structured and unstructured data

Implement CI/CD for AI/ML workflows Deploy, monitor, and maintain models in production

Implement guardrails for LLM-based systems (grounding, validation, safety)

What you’ll bring

All qualifications

Core experience

10+ years in software or data engineering, including 5 years in 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 deploying and operating systems in AWS

Qualification wording

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 deploying and operating systems in AWS

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Posting record

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Status in our records: Live
First seen by us: Oct 6, 202629 days ago
Recorded sightings: 27
Last seen by us: Nov 3, 2026

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

How this job compares

Time since we first saw it

Day 29

Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

dotSolved is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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AWS
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SageMaker

Where the posting names them

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)

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Has dotSolved posted this job before?

Yes. We’ve followed one other AI/ML Engineer job there since August 2026. It came down after 42 days.

ChennaiCame down after 42 days, first seen Aug 29
This jobUp 29 days so far, first seen Oct 6

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

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)

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