ML Ops Lead: Scale Production Data Science

LTM; Portland (OR); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering MD

Short/Long Term Disability

401(k) Plan with Company match

Life Insurance

Vacation Time and Holidays

Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking an ML Engineer to deploy and manage machine learning models at scale in production for the MLOps team. The role works with software engineers, DS engineers, data scientists and data engineers to operationalize ML models and monitor performance.

Key duties include building production-grade Python libraries, maintaining CI/CD, and collaborating across a fast-paced, cross-functional environment with a strong emphasis on data quality and model monitoring.

Qualifications

• Experience implementing the machine learning lifecycle on AWS or other cloud platforms.
• Familiarity with Kubeflow or mlflow.
• Proficient in Python and ML frameworks/libraries.
• Experience with agile environments.
• Experience with version control tools such as Git/Bitbucket.

Responsibilities

• Own operationalize and monitor ML models in production.
• Build and maintain production-level Python libraries.
• Collaborate with data scientists and engineers across the stack.
• Ensure version control and CI/CD practices across projects.

Skills

Python

AWS

Git

SQL

ML frameworks

Tools

Docker

Kubernetes

Kubeflow

MLflow

Jenkins

Job description

LTIMindtree is seeking an ML Engineer to deploy and manage machine learning models at scale in production for the MLOps team. The role works with software engineers, DS engineers, data scientists and data engineers to operationalize ML models and monitor performance.

Key duties include building production-grade Python libraries, maintaining CI/CD, and collaborating across a fast-paced, cross-functional environment with a strong emphasis on data quality and model monitoring.