ML Ops Engineer

Location

Atlanta, Georgia, United States

Salary

Not specified

Company

akash pawar

Job description

Role & Company / Project Overview: Hexaware / HMG America is seeking an experienced ML Ops Engineer based in Atlanta, GA. This position requires hands-on technical proficiency across AWS, SageMaker, automation, infrastructure engineering, and MLOps/DevOps practices. Key Responsibilities & Daily Duties: • Implement, maintain, and automate MLOps workflows and pipelines on AWS. • Manage Infrastructure as Code (IaC) utilizing Terraform. • Write and maintain Python and Shell automation scripts. • Configure, manage, and optimize CI/CD pipelines via GitLab. • Perform cloud platform engineering, IAM configuration, and ensure cloud security compliance. • Conduct system monitoring, observability, troubleshooting, and root cause analysis. • Oversee cloud cost optimization and FinOps best practices. Required Qualifications, Skills & Experience: • Strong hands-on experience in AWS (Amazon Web Services) and AWS SageMaker. • Proven expertise in Terraform (Infrastructure as Code). • Proficiency in Python and Shell Scripting. • Solid background in CI/CD and GitLab. • Expertise in Cloud & Platform Engineering, IAM, and Cloud Security. • Experience with Monitoring & Observability tools. • Strong troubleshooting and root cause analysis skills. • Familiarity with Cloud Cost Optimization / FinOps. Preferred Skills: • Domino Data Lab. • Machine Learning / Data Science platforms. • AWS Cost Management / FinOps. • Vulnerability Management. • Cloud Migration & Modernization. • SAS Grid experience. Working Hours, Shifts & Location Details: • Location: Atlanta, Georgia, United States. • Work Model: Onsite 5 days per week. • Final Interview: In-person interview required at a Hexaware location. Application Instructions: Interested candidates should submit their updated resume via DM or email.