Machine Learning Ops Engineer (MLOps Engineer)

Computer Task Group, Inc•Bakersfield, CA

10h•Onsite

About The Position

CTG is seeking to fill a Machine Learning Ops Engineer (MLOps Engineer) position for its client. This is a 12-month contract role located in Bakersfield, CA. CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience, CTG works shoulder to shoulder with clients to shape digital together. The company's vision is to be an indispensable partner to its clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, CTG combines global expertise with local insight to deliver innovative solutions, operating across the Americas, Europe, and India with over 3,000 clients. CTG fosters a culture where employees are encouraged to grow, supported in their ambitions, and empowered to shape their own career journey.

Requirements

Strong ML knowledge and hands-on experience with ML frameworks.
Experience in MLOps, distributed systems, and cloud/containerized environments (Docker/Kubernetes).
Ability to write efficient, maintainable code and optimize ML workflows.
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Responsibilities

Design, develop, and deploy scalable ML models and pipelines.
Apply ML techniques: regression, classification, clustering, and recommender systems.
Build production-ready ML components with TensorFlow, PyTorch, or scikit-learn.
Manage ML model lifecycle, monitoring, and CI/CD workflows.
Collaborate with data scientists, engineers, and stakeholders to deliver ML solutions.