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."