Chennai, Tamil Nadu Senior mlops technical lead Jobs – 56 Open Jobs Today

Senior MLOps Technical Lead
HCLTech —Chennai, Tamil Nadu
- DevOps
- AWS
- Machine learning
3d
Hiring for Chennai - GenAI - Technical Lead/ Technical Specialist
CitiusTech Inc —Chennai, Tamil Nadu
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- B.Sc
- Engineering
Technical Project Manager
Nexifyr Consulting Pvt Ltd —Chennai, Tamil Nadu
- Full-time
- PMP
- Sales
- AWS
Quick apply
Senior Technical Lead
HCLTech —Chennai, Tamil Nadu
- Azure
- Master's degree
- SQL
5d
AI Technical Lead
RCG Global Services —Chennai, Tamil Nadu
- Azure
- Master's degree
- AWS
Quick apply
7d
AI Technical Manager
Kumaran Systems —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- DevOps
Senior Digital Product Owner
Caterpillar —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- DevOps
7d
Palantir - senior developers - Chennai
Photon —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master'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
Senior Member of Technical Staff - Go/Python Development and Kubernetes
Aptiv plc —Chennai, Tamil Nadu
- Computer science
- Doctoral degree
- B.Sc
- Health insurance
- Flexible schedule
AI COE Lead (Artificial Intelligence - COE Lead)
Saaki Argus & Averil Consulting —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
Quick apply
Head of Tech (Engineering & AI)
Portcast —Chennai, Tamil Nadu
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- System design
Quick apply
Solution / Enterprise Architect- Application Engineering
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- Public speaking
- Java
- Health insurance
- Paid time off
7d
Senior Generative AI Engineer-Python and Agentic AI
Citi —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Master's degree
- Analysis skills
Senior MLE - MLOps, Python, GCP, VertexAI, GKE
UPS —Chennai, Tamil Nadu
- Full-time
- Azure
- Master's degree
- SQL
Senior Technical Manager – AI/ML
Kāladi Consulting —Chennai, Tamil Nadu
- Full-time
- Azure
- Oracle
- AWS
Lead/Sr MLOps Engineer - Domino Data Lab
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- AWS
- Machine learning
- Health insurance
- Paid time off
Senior AI Engineer
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- System design
- English
- Health insurance
- Paid time off
Senior AI Ops Architect
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Azure
- English
- Master's degree
- Health insurance
- Paid time off
Senior Enterprise Data Platform Engineer
InfoCepts —Chennai, Tamil Nadu
- Full-time
- Computer Science
- ERP systems
- Master's degree
7d

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Senior MLOps Technical Lead

HCLTech -
Chennai, Tamil Nadu

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Job details

3 days ago

Qualifications

CI/CD
Cloud infrastructure
Ansible
Software deployment
DevOps
Git
AWS
Machine learning
Version control systems
Terraform
Continuous integration
Scripting
GitHub
Scalability
Jenkins
GitLab
Python
AWS CloudFormation

Full job description

Chennai, Tamil Nadu
Job Summary
This role is accountable for driving advanced machine learning operations and automation within development projects. The individual leverages expertise in ML Ops, DevOps, and Python to architect, implement, and optimize robust ML pipelines, ensuring efficient model deployment, monitoring, and scalability. They provide advanced proficiency in integrating cloud infrastructure and CI/CD practices, supporting the successful delivery of complex solutions.
Key Responsibilities
1. Implement and optimize ML pipelines using MLflow, Kubeflow Pipelines, and TFX, enabling automated model training, validation, and deployment.
2. Integrate DevOps practices with Python scripting to automate infrastructure provisioning via Terraform, AWS CloudFormation, and Ansible for scalable ML environments.
3. Configure and maintain CI/CD workflows using Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions to streamline code integration and deployment for ML projects.
4. Monitor and analyze ML system performance using Prometheus, Grafana, ELK Stack, and Fluentd, ensuring reliability and rapid issue resolution.
5. Apply advanced proficiency in Git, GitHub, GitLab, and Bitbucket for source code management and collaboration within the development team.
6. Participate in technical reviews, contribute to process compliance, and support feasibility studies by evaluating technical alternatives and risks for ML solutions.
7. Prepare and submit project status reports, collaborating with internal stakeholders to define deliverables and minimize escalation risks.
Skill Requirements
1. Advanced Proficiency In Ml Ops, Including Mlflow, Kubeflow Pipelines, Tfx, And Metaflow.
2. Advanced Proficiency In Devops Tools Such As Terraform, Aws Cloudformation, Ansible, Jenkins, Gitlab Ci/Cd, Circleci, And Github Actions.
3. Advanced Proficiency In Python For Automation, Scripting, And Ml Pipeline Development.
4. Advanced Proficiency In Monitoring And Logging Tools: Prometheus, Grafana, Elk Stack, Fluentd.
5. Advanced Proficiency In Version Control Systems: Git, Github, Gitlab, Bitbucket.
6. Solid Understanding Of Cloud Infrastructure And Deployment Strategies.
7. Solid Ability To Troubleshoot, Optimize, And Maintain Ml Environments.

Other Requirements

1. Optional but valuable:
2. AWS Certified Machine Learning Ã¯Â¿Â½ Specialty
3. - Google Professional Machine Learning Enginee
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