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Senior MLOps Engineer

Senior MLOps Engineer

Uplers

5 years

35 Lacs

noida uttar pradesh india

Posted:5 days ago| Platform:

Apply

Skills Required

compliance cybersecurity design iam network security ai ml devops docker kubernetes terraform scaling containerization automate model management versioning scalability reliability data drift documentation aws azure code monitoring mlflow support portal

Work Mode

On-site

Job Type

Full Time

Job Description

Experience

: 5.00 + years

Salary

: INR 3500000.00 / year (based on experience)

Expected Notice Period

: 7 Days

Shift

: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type

: Office ()

Placement Type

: Full Time Permanent position(Payroll and Compliance to be managed by: A cybersecurity company streamlining secure-by-design threat modeling.)

(*Note: This is a requirement for one of Uplers' client - A cybersecurity company streamlining secure-by-design threat modeling.)What do you need for this opportunity?Must have skills required:IAM, Network Security, Rbac, AI/ML, DevOps, MLOps, Docker, Kubernetes, Terraform/CloudFormationA cybersecurity company streamlining secure-by-design threat modeling. is Looking for:

Senior MLOps Engineer

Experience: 5+ Years

Job Summary:

We are seeking a highly skilled Senior MLOps Engineer with strong expertise in deploying, managing, and scaling AI/ML-driven services in production environments. The ideal candidate will have deep hands-on experience with cloud infrastructure, containerization, CI/CD pipelines, security best practices, and scalable AI system design.

Key Responsibilities:

Design, build, and manage end-to-end MLOps pipelines.
Deploy and manage AI/ML services using Docker and Kubernetes.
Automate model lifecycle management including versioning and rollback.
Ensure scalability, reliability, and fault tolerance.
Implement CI/CD pipelines for ML workflows.
Monitor model performance, data drift, and system health.
Collaborate with Data Scientists, Backend Engineers, and DevOps teams.
Enforce security best practices across infrastructure.
Optimize infrastructure cost and performance.
Maintain documentation and operational runbooks.

Required Skills & Qualifications:

5+ years of experience in MLOps, DevOps, or ML Engineering.
Strong experience with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).
Experience with Infrastructure as Code (Terraform/CloudFormation).
Strong understanding of scalable distributed systems.

Security & Scalability:

Knowledge of IAM, RBAC, secrets management, and network security.
Experience with secure ML deployments and compliance standards.

Monitoring & Observability:

Experience with Prometheus, Grafana, ELK, or cloud monitoring tools.
Understanding of model monitoring and drift detection.

Good to Have:

Experience with GenAI/LLM deployments.
Familiarity with MLflow, Feature Stores, and Data Pipelines.

How to apply for this opportunity?

Step 1: Click On Apply! And Register or Login on our portal.
Step 2: Complete the Screening Form & Upload updated Resume
Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

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Senior MLOps Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Experience

Salary

Expected Notice Period

Shift

Opportunity Type

Placement Type

Senior MLOps Engineer

Experience: 5+ Years

Job Summary:

Key Responsibilities:

Monitoring & Observability:

How to apply for this opportunity?

About Uplers:

More Jobs at Uplers