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MLOps _ ML Engineer

MLOps _ ML Engineer

Zentek Infosoft

10 - 17 years

9 - 15 Lacs

Hyderabad Chennai Bengaluru

Posted:1 day ago| Platform:

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Skills Required

ML Engineer MLOps AWS Python S3 AWS SageMaker CloudWatch Lambda

Work Mode

Hybrid

Job Type

Full Time

Job Description

Dear Candidate,

Please find below job description

MLOps + ML Engineer

Role Overview:

Key Responsibilities:

Architect and implement robust MLOps pipelines for model development, deployment, monitoring, and governance.
Lead the operationalization of ML models using AWS SageMaker and other AWS services.
Build and maintain CI/CD pipelines for ML workflows using tools like GitHub Actions, Jenkins, or AWS CodePipeline.
Automate model lifecycle management including retraining, versioning, and rollback.
Collaborate with data scientists, ML engineers, and DevOps teams to ensure seamless integration and scalability.
Monitor production models for performance, drift, and reliability.
Establish best practices for reproducibility, security, and compliance in ML systems.

Required Skills:

10+ years of experience in ML Engineering, MLOps, or related fields.
Deep hands-on experience with AWS SageMaker, Lambda, S3, CloudWatch, and related AWS services.
Strong programming skills in Python and experience with Docker, Kubernetes, and Terraform.
Expertise in CI/CD tools and infrastructure-as-code.
Familiarity with model monitoring tools (e.g., Evidently, Prometheus, Grafana).
Solid understanding of ML algorithms, data pipelines, and production-grade systems.

Preferred Qualifications:

AWS Certified Machine Learning Specialty or DevOps Engineer certification.
Experience with feature stores, model registries, and real-time inference systems.
Leadership experience in cross-functional ML/AI teams.

Primary Skills:

Regards

Divya Grover

+91 8448403677

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