ML Ops Engineer

About Company :

Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.

Job Title: ML Ops Engineer

Location: Pan India

Experience: 8+ yrs.

Job Type : Contract to hire.

Notice Period:- Immediate joiners.

Mandatory Skills:

Top 3 skills which is mandatory

• The primary tool stack we are looking for is GitHub CI/CD and GitHub actions, AWS Sage maker, CloudFormation, AWS IAM.

• Experience in building infra on AWS from scratch.

• High level Knowledge on how ML models work, model monitoring, model management

• 5+ years of experience as MLOps engineer

• Programming and scripting: Python is essential, along with SQL and potentially others like Java

• Machine learning: A strong understanding of ML algorithms, data preprocessing, feature engineering, and model evaluation is required.

• Familiarity with frameworks like TensorFlow and PyTorch is also beneficial.

• DevOps and CI/CD: Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines is crucial for automating the ML workflow.

• Containerization and orchestration: Proficiency with Docker and Kubernetes is standard for packaging and deploying models.

• Cloud platforms: Experience with AWS for deployment and management.

• Infrastructure-as-Code (IaC): Knowledge of tools like Terraform or CloudFormation might be often required."