AI/ML Engineer
Chennai, India
- 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
Read the full posting- Employment
Contract — employment source
Employment type in the employer’s listing: Contract
From the employer’s posting
What you’ll work on
Full postingDesign 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 qualificationsCore 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
Tools in this posting
- AWS
- Docker
- Kubernetes
- S3
- SageMaker
Source — Tool mentions in context
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)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 6, 2026 · 12d ago
- Recorded sightings
- 8
- Last seen by us
- Oct 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
Already applied? Track this application
Source details
Source notes
Source excerptsSelected 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.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.