Lead MLOps Engineer - Production AI & Platform

LotusLynx; Pittsburgh (Allegheny County); In loco; USD 120.000 - 150.000; Tempo pieno

Descrizione del lavoro

LotusLynx is seeking a Senior or Lead MLOps Engineer to bolster enterprise machine learning platforms. This role involves designing and deploying scalable machine learning infrastructure and MLOps workflows, working closely with Data Science, Platform Engineering, and Software Engineering teams.

The ideal candidate will have over 6 years of experience in MLOps or Machine Learning Engineering and strong skills in Python, SQL, and more. This collaborative position seeks professionals comfortable driving AI initiatives in production environments.

Competenze

• 6+ years of experience in MLOps, Machine Learning Engineering, Data Engineering, ML Platform Engineering, or related disciplines.
• Demonstrated experience supporting machine learning models in production environments.
• Strong experience with Python, SQL, Spark, Hive, Linux, Git, and OpenShift.

Mansioni

• Design, develop, and support production MLOps pipelines and machine learning infrastructure.
• Build and optimize scalable batch and real-time data and feature pipelines.
• Deploy, monitor, and support machine learning models in production environments.
• Mentor junior engineers and share technical expertise across the team.

Conoscenze

Python

SQL

Spark

Hive

Git

OpenShift

CI/CD Automation

Distributed Data Processing

Infrastructure Automation

Production Support and Troubleshooting

Formazione

6+ years experience in MLOps or related fields

Descrizione del lavoro

LotusLynx is seeking a Senior or Lead MLOps Engineer to bolster enterprise machine learning platforms. This role involves designing and deploying scalable machine learning infrastructure and MLOps workflows, working closely with Data Science, Platform Engineering, and Software Engineering teams.

The ideal candidate will have over 6 years of experience in MLOps or Machine Learning Engineering and strong skills in Python, SQL, and more. This collaborative position seeks professionals comfortable driving AI initiatives in production environments.