Machine Learning Ops Engineer (MLOps Engineer)

About CTG

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 and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries.

Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com .

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.

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.

Education

• 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.

Compensation

The expected base salary for this position ranges from $80.00 to $95.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.