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MLOps _ ML Engineer

MLOps _ ML Engineer

Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Zentek Infosoft

10 - 17 years

10 - 17 Lacs

hyderabad telangana india

Posted:3 days ago| Platform: Foundit logo

Apply

Skills Required

sagemaker machine learning engineering

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

Architect and implement scalable MLOps pipelines for model development, deployment, and monitoring
Lead end-to-end operationalization of ML models using AWS SageMaker and AWS ecosystem
Build and manage CI/CD pipelines for ML workflows using tools like GitHub Actions, Jenkins, or AWS CodePipeline
Automate key model lifecycle stages including training, version control, deployment, and rollback
Collaborate closely with data scientists, ML engineers, and DevOps for seamless model integration
Monitor live models for performance degradation, data drift, and reliability issues
Establish governance and best practices for reproducibility, security, and compliance in ML systems

Required Skills:

10+ years of experience in MLOps, ML engineering, or similar domains
Proven hands-on expertise with AWS SageMaker, Lambda, S3, CloudWatch, and other AWS services
Strong Python programming and experience with Docker, Kubernetes, and Terraform
Deep understanding of infrastructure-as-code and CI/CD tools
Familiarity with model monitoring frameworks such as Prometheus, Grafana, or Evidently
Solid grasp of ML algorithms, feature engineering, and production model deployment

Preferred Qualifications:

AWS Certified Machine Learning Specialty or AWS DevOps Engineer certification
Knowledge of feature stores, model registries, and real-time inference platforms
Experience leading cross-functional AI/ML engineering teams

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MLOps _ ML Engineer