Uttar Pradesh Devops + mlops Jobs – 64 Open Jobs Today

MLOps Technical Lead
HCLTech —Noida, Uttar Pradesh
- DevOps
- SQL
- AWS
Group Technical Architect
HCLTech —Noida, Uttar Pradesh
- Azure
- DevOps
- Master's degree
Campus-Competent
HCLTech —Greater Noida, Uttar Pradesh
- Azure
- Master's degree
- Databases
4d
Gen AI - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Computer Science
- Databases
- Machine learning
- Health insurance
1d
Senior AI Architect
Impetus Technologies —Noida, Uttar Pradesh
- Azure
- Computer Science
- Salesforce
6d
Systems Integration Specialist Advisor
NTT Ltd —Noida, Uttar Pradesh
- Azure
- Master's degree
- AWS
Business Transformation Specialist
Accenture —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- English
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Quick apply
6d
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
6d
Senior Manager - HRBP
Iris Software —Noida, Uttar Pradesh
- Master's degree
- Business Administration
- MBA
- Health insurance
Senior AL/ML Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
6d
3590758-Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- SQL
- Machine learning
- APIs
Technical Project Manager
Iris Software —Noida, Uttar Pradesh
- Java
- Conflict management
- Agile
- Health insurance
1d
UI Angular - Lead
Iris Software —Noida, Uttar Pradesh
- Master's degree
- Analysis skills
- JavaScript
- Health insurance
ETL Tester - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- Azure
- DevOps
- SQL
- Health insurance
2d
Database - Lead
Iris Software —Noida, Uttar Pradesh
- Azure
- Oracle
- Computer Science
- Health insurance
1d
Senior AI Engineer
Techneplus —Noida, Uttar Pradesh
- Full-time
- Azure
- DevOps
- Java
Senior AI/ML-Generative AI
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
6d
BI Reporting and Data Visualization - Senior Engineer
Iris Software —Noida, Uttar Pradesh
- SQL
- JavaScript
- AI
- Health insurance
4h
Senior Manager - Quality Assurance
Iris Software —Noida, Uttar Pradesh
- AI
- Communication skills
- Health insurance
2d

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MLOps Technical Lead

HCLTech -
Noida, Uttar Pradesh

Apply Now

Job details

Qualifications

TensorFlow
CI/CD
Cloud infrastructure
Kubernetes
PyTorch
DevOps
Git
SQL
AWS
Docker
Machine learning
Version control systems
Terraform
Continuous integration
Scripting
GitHub
S3
Jenkins
GitLab
Python
AWS Certified DevOps Engineer – Professional
AWS CloudFormation

Full job description

Noida, Uttar Pradesh
Job Summary
MLOps Expertise: Strong knowledge of ML lifecycle management, pipeline automation, and monitoring tools.
Cloud Platforms: Hands-on experience with AWS (SageMaker, Lambda, ECS/EKS), Snowflake, and related services.
Programming: Proficiency in Python; familiarity with ML frameworks (PyTorch, TensorFlow).
Containerization & Orchestration: Experience with Docker and Kubernetes for scalable deployments.
CI/CD Tools: Knowledge of GitHub Actions, Jenkins, or similar tools for automated workflows.
Data Engineering: Ability to work with SQL and integrate data from multiple sources.
Pipeline Development & Automation: Design and implement automated ML pipelines for model training, testing, deployment, and monitoring.
Model Deployment & Monitoring: Deploy AI/ML models into production environments using containerization and orchestration tools; ensure performance and reliability.
Cloud Infrastructure Management: Configure and optimize cloud resources (AWS SageMaker, S3, Bedrock) for scalable ML workflows.
Data Integration: Collaborate with Data scientist to streamline data ingestion and transformation for model readiness.
CI/CD for ML: Implement continuous integration and delivery practices tailored for ML workflows.
Performance Optimization: Monitor model performance, retrain as needed, and manage versioning for reproducibility.
Collaboration: Work closely with Data Scientists to translate experimental models into production-ready solutions.

Key Responsibilities
1. Implement and maintain ML pipelines using Python, MLflow, Kubeflow Pipelines, and TFX to automate model training, validation, and deployment processes.
2. Apply DevOps practices with Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions to streamline CI/CD for machine learning workflows and monitor pipeline health.
3. Utilize infrastructure-as-code tools such as Terraform and AWS CloudFormation to provision and manage scalable cloud resources for ML workloads.
4. Integrate monitoring solutions like Prometheus, Grafana, ELK Stack, and Fluentd to track model performance, system metrics, and log analytics in production environments.
5. Ensure process compliance by using Git, GitHub, GitLab, and Bitbucket for version control and code management within the team.
6. Participate in technical discussions and feasibility studies to evaluate technical alternatives and support architecture best practices for ML Ops solutions.
7. Prepare and submit status reports to highlight progress, minimize risks, and support project closure activities.
Skill Requirements
1. Solid Proficiency In Ml Ops, Including Automation Of Ml Pipelines And Model Lifecycle Management.
2. Solid Understanding Of Devops Tools Such As Jenkins, Gitlab Ci/Cd, Circleci, And Github Actions For Workflow Automation.
3. Solid Experience With Python For Scripting, Data Processing, And Ml Pipeline Development.
4. Solid Knowledge Of Infrastructureascode Tools Like Terraform And Aws Cloudformation For Cloud Resource Management.
5. Solid Skills In Monitoring And Logging Tools Including Prometheus, Grafana, Elk Stack, And Fluentd.
6. Solid Familiarity With Version Control Systems Such As Git, Github, Gitlab, And Bitbucket.
7. Solid Ability To Participate In Technical Discussions And Support Process Compliance Within The Team.

Other Requirements

1. Optional but valuable:
2. AWS Certified DevOps Engineer
3. - Google Professional Machine Learning Enginee
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Refine Your Search

devops + mlops jobs in uttar pradesh

MLOps Technical Lead

Group Technical Architect

Campus-Competent

Gen AI - Senior Engineer

Senior AI Architect

Systems Integration Specialist Advisor

Business Transformation Specialist

Senior Data Engineer – GenAI & Unstructured Data Pipelines

Senior Data Engineer – GenAI & Unstructured Data Pipelines

Senior Manager - HRBP

Senior AL/ML Engineer

3590758-Lead Assistant Manager

Technical Project Manager

UI Angular - Lead

ETL Tester - Senior Engineer

Database - Lead

Senior AI Engineer

Senior AI/ML-Generative AI

BI Reporting and Data Visualization - Senior Engineer

Senior Manager - Quality Assurance

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