IN_Sr Associate_ AWS Devops With MLOPs Developer_Application Technology_Advisory_ PAN INDIA (early joiners)

Job Description & Summary

Responsibilities

• As a AWS DEVOPS MLOPs Engineer, you will be responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Your typical day will involve building and testing end-to-end CI/CD pipelines, ensuring that systems are safe against security threats, and utilizing your expertise in UNIX Shel l Scripting. Operationalize ML models developed by scientists, moving them from prototypes to scalable, real-time production APIs .

Mandatory skill sets

• Pipeline Automation: Build and maintain CI/CD pipelines for machine learning workflows to enable rapid, automated deployment.
• Production Deployment: Operationalize ML models developed by scientists, moving them from prototypes to scalable, real-time production APIs (using Amazon SageMaker, EKS, Lambda).
• Monitoring & Governance: Implement monitoring systems to track model performance, data drift, and latency.
• Infrastructure Management: Provision and manage AWS infrastructure (S3, EC2, CloudFormation) tailored for ML training and inference.
• Collaboration: Work with data scientists to optimize models for production and with DevOps for infrastructure .

Preferred skill sets

• GenAI/LLM Focus: In cutting-edge roles, establish robust pipelines for LLM fine-tuning and deployment (using tools like LangChain or Amazon Bedrock).

Education qualification

• B.E. / B.Tech / MCA/ M.E / M.TECH / MBA/ PGDM. All qualifications should be in regular full-time mode with no extension of course duration due to backlogs
• Education (if blank, degree and/or field of study not specified)
• Certifications (if blank, certifications not specified)

Optional Skills

• Desired Languages (If blank, desired languages not specified)