Machine Learning Engineer / MLOps Engineer (Mid-Level)

Job Description

Job Description

Role Overview

We are seeking a Mid-Level Machine Learning Engineer / MLOps Engineer to join a delivery pod of engineers and data scientists building production ML systems. This role blends hands-on machine learning development with operational MLOps responsibilities and works under the technical direction of a Senior or Lead MLOps Pod Lead.

This position is ideal for an engineer who has supported ML systems beyond experimentation and is ready to deepen their experience in production ML, cloud platforms, and regulated AI delivery.

Responsibilities Machine Learning & MLOps Execution

• Contribute to the development, deployment, and operation of production machine learning pipelines.
• Support model training, evaluation, packaging, and deployment workflows.
• Assist in building and maintaining CI / CD pipelines for ML training, testing, and inference.
• Support model versioning, monitoring, retraining, and performance tracking.
• Help maintain data pipelines, feature engineering processes, and integrations with data lakes and warehouses.
• Deploy and operate ML workloads in containerized and Kubernetes-based environments with senior guidance.

Team & Pod Collaboration

Security, Compliance & Quality

Required Qualifications

Preferred Qualifications

Benefits & Professional Growth

Equal Employment Opportunity

PTF Consulting, LLC is an Equal Employment Opportunity employer committed to building a diverse and inclusive workforce. We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, in compliance with applicable federal and state employment laws.