Tambaram Chennai Tamil Nadu Mlops engineer Jobs – 238 Open Jobs Today

Engineering Group Manager- MLOps
Aptiv plc —Chennai, Tamil Nadu
- AWS
- Machine learning
- Python
- Health insurance
- Flexible schedule
1h
Apprentice - 2
Viavi Solutions —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Master's degree
AI/ML Engineer
Optimum Solutions —Chennai, Tamil Nadu
- Full-time
- Azure
- Master's degree
- Databases
Lead Systems Engineer - Data DevOps/MLOps
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- Computer Science
- DevOps
- Health insurance
- Paid time off
AI Architect / AI Engineer
DIAN Technology Solutions Pvt Ltd —Chennai, Tamil Nadu
- ₹25,00,000 - ₹28,00,000 a year
- Full-time
- Azure
- AWS
- Analysis skills
Quick apply
Hiring For Machine Learning Engineer
BSRI Solutions —Chennai, Tamil Nadu
- ₹4,00,000 - ₹8,00,000 a year
- Computer Science
- Master's degree
- SQL
Devops Engineer
Larsen & Toubro —Chennai, Tamil Nadu
- Computer Science
- DevOps
- Bachelor's degree
Senior Data Scientist
Vega IntelliSoft Private Limited —Chennai, Tamil Nadu
- ₹30,00,000 - ₹35,00,000 an hour
- Azure
- Doctoral degree
- Computer Science
Quick apply
Machine Learning Engineer
adyog —Chennai, Tamil Nadu
- Computer Science
- System design
- Machine learning
Gen AI Engineer Intermediate Analyst(4-7Years)
Citi —Chennai, Tamil Nadu
- Azure
- Computer Science
- AWS
Custom Software Engineer
Accenture —Chennai, Tamil Nadu
- Full-time
- Azure
- Management
- Computer Science
Generative AI, LLM Engineer
MASTER MIND CONSULTANCY —Chennai, Tamil Nadu
- ₹35 an hour
- Azure
- Master's degree
- AWS
Quick apply
Machine Learning Engineer
Capgemini —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Lead/Sr MLOps Engineer - Domino Data Lab
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
ML Engineer I
UST —Chennai, Tamil Nadu
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
12h
Data Engineer
Yubi —Chennai, Tamil Nadu
- Full-time
- Databases
- SQL
- AWS
Lead Observability AIOps engineer
Standard Chartered —Chennai, Tamil Nadu
- Overnight shift
- Computer Science
- Software troubleshooting
- DevOps
- Health insurance
- Paid sick time
2d
Senior AI Engineer - CB
Radial, Inc. —Chennai, Tamil Nadu
- Azure
- Master's degree
- SQL
AI/ML Developer
Nanira Tech Private Limited —Chennai, Tamil Nadu
- ₹30,000 - ₹60,000 a month
- Full-time
- Azure
- Computer Science
- Databases
Quick apply
AI Engineer
UST —Chennai, Tamil Nadu
- Computer Science
- DevOps
- Master's degree
Quick apply

I want to receive the latest job alerts for mlops engineer in tambaram chennai tamil nadu

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

mlops engineer jobs near tambaram chennai tamil nadu

Software Engineer jobs in Chennai, Tamil Nadu

Ai Developer jobs in Chennai, Tamil Nadu

Ai Ml Engineer jobs in Chennai, Tamil Nadu

Machine Learning Engineer jobs in Chennai, Tamil Nadu

Ai Architect jobs in Chennai, Tamil Nadu

Lead Engineer jobs in Chennai, Tamil Nadu

Devops Engineer jobs in Chennai, Tamil Nadu

System Engineer jobs in Chennai, Tamil Nadu

Data Engineer jobs in Chennai, Tamil Nadu

Software Engineer jobs in Nagpur, Maharashtra

Vlsi Fresher, Verilog, Rtl Design Engineer jobs in Hyderabad, Telangana

Software Engineer jobs in Jalgaon, Maharashtra

Software Engineer jobs in Kamla Nagar, Delhi, Delhi

Aws Cloud Engineer jobs in Coimbatore, Tamil Nadu

Software Engineer jobs in Zirakpur, Punjab

Software jobs in Tirunelveli, Tamil Nadu

Software Internship jobs in Navi Mumbai, Maharashtra

Ai Developer jobs in Delhi

Ai Developer jobs in Bandra West, Mumbai, Maharashtra

Ai Developer jobs in Kerala

Engineering Group Manager- MLOps

Aptiv plc -
Chennai, Tamil Nadu

Apply Now

Job details

1 hour ago

Benefits

Health insurance
Flexible schedule

Qualifications

CI/CD
ADAS
Kubernetes
Software deployment
Git
AWS
Machine learning
Terraform
Continuous integration
GitHub
Scalability
S3
Apache
Python

Full job description

MLOps Manager

Help shape the future of mobility.

Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. Aptiv’s passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.

Your Role

MLOps Platform & Infrastructure

Build and operate MLOps platforms on AWS supporting autonomous driving ML workloads
Implement and maintain highly available, multi‑zone training and deployment environments
Operate distributed, multi‑GPU training setups (e.g., Ray clusters)
Assist in maintaining infrastructure standards for compute, storage, networking, and security
Troubleshoot and resolve platform‑level issues impacting ML productivity

AWS & Kubernetes Operations

Deploy and operate ML workloads using:
- Amazon EKS / Kubernetes
- AWS VPCs, subnets, routing, and network isolation
- S3 (including Intelligent‑Tiering) for large‑scale sensor and training data
- AWS Lambda for event‑driven ML and data workflows
- AWS IoT resources managed via Terraform
Contribute to platform resilience through:
- Multi‑AZ deployments
- Backup, recovery, and fault‑tolerance mechanisms

MLOps Pipelines & Tooling

Implement and maintain ML pipelines using:
- Apache Airflow for orchestration
- MLflow for experiment tracking, model versioning, and lifecycle management
Support CI/CD pipelines for ML code, models, and infrastructure (GitHub‑based)
Ensure ML workflows are:
- Reproducible
- Traceable
- Auditable (aligned with automotive engineering expectations)

Machine Learning Enablement

Support large‑scale data ingestion and preprocessing pipelines for sensor‑heavy datasets
Implement data validation and data quality checks
Help enforce train / validation / test split governance
Partner with ML engineers to:
- Improve training performance
- Reduce infrastructure cost
- Streamline evaluation and deployment workflows

Collaboration with ML & Autonomous Driving Teams

Work closely with ML engineers and researchers developing:
- Perception models (vision, sensor fusion, detection, tracking)
- Behavioral and decision‑making systems
Translate ML workloads and requirements into stable, production‑ready pipelines
Adapt ML tooling and infrastructure to the realities of safety‑critical automotive systems

Monitoring, Reliability & Operations

Build and maintain monitoring and logging for:
- ML pipelines
- Training jobs
- Deployed models and infrastructure
Track system health, failures, performance regressions, and operational metrics
Participate in incident response, root cause analysis, and post‑mortems
Continuously improve platform reliability, scalability, and developer experience

Your Background

Key ingredients for succeeding in this role are your:

13+ years experience ,Strong hands‑on experience with AWS for ML workloads
Practical experience with:
- Multi‑GPU / distributed training (Ray or equivalent)
- Kubernetes / EKS
- Infrastructure as Code (Terraform)
- Airflow and MLflow
Proficient Python for automation, pipelines, and tooling
Experience building and operating CI/CD pipelines (GitHub)

Machine Learning Foundations

Solid understanding of end‑to‑end ML workflows:
- Data ingestion and preprocessing
- Data validation and quality controls
- Training, evaluation, and deployment
Experience supporting ML teams running large‑scale experiments and production models

Automotive / Autonomous Systems Exposure

Working knowledge of:
- Perception systems
- Behavioral or decision‑making ML components
Prior experience in automotive, ADAS, or autonomous driving environments
Awareness of constraints related to:
- Safety‑critical systems
- Real‑time or near‑real‑time performance

Why join us?

You can grow at Aptiv.Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

Hybrid and flexible working hours;
Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
Life and accident insurance;
Sodexo cards for food and beverages
Well Being Program that includes regular workshops and networking events;
EAP Employee Assistance;
Access to fitness clubs (T&C apply);
Creche facility for working parents;

Apply today, and together let’s change tomorrow!

#LI-NB1

Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

Apply Now

Refine Your Search

mlops engineer jobs in tambaram chennai tamil nadu

Engineering Group Manager- MLOps

Apprentice - 2

AI/ML Engineer

Lead Systems Engineer - Data DevOps/MLOps

AI Architect / AI Engineer

Hiring For Machine Learning Engineer

Devops Engineer

Senior Data Scientist

Machine Learning Engineer

Gen AI Engineer Intermediate Analyst(4-7Years)

Custom Software Engineer

Generative AI, LLM Engineer

Machine Learning Engineer

Lead/Sr MLOps Engineer - Domino Data Lab

ML Engineer I

Data Engineer

Lead Observability AIOps engineer

Senior AI Engineer - CB

AI/ML Developer

AI Engineer

I want to receive the latest job alerts for mlops engineer in tambaram chennai tamil nadu

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected