AI and Machine Learning Engineer

CBTS

155d

About The Position

As a client-facing AI/ML Engineer at CBTS, you’ll drive transformative AI solutions by designing, building, and deploying robust, scalable AI systems. Your delivery expertise and technical finesse will directly contribute to both client value and CBTS’s financial performance making every engagement count.

Requirements

• 3–5 years of hands-on experience as an ML Engineer or AI Engineer, delivering production-grade solutions.
• Experience with MLOps, model deployment, and scalable infrastructure.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud-based AI/ML services (AWS, Azure, GCP).
• Demonstrated ability to translate model prototypes into production deployments.
• Track record of contributing to reusable assets, accelerators, and solution frameworks.
• Solid coding practices and familiarity with production-quality engineering workflows.
• Exposure to operational monitoring, automation, and AI lifecycle tools (e.g., MLflow, Airflow).

Responsibilities

• Collaborate with Data Scientists and Data Engineers to implement custom machine learning models and AI solutions that solve business challenges.
• Write and maintain production-grade code following industry-leading software engineering practices.
• Deploy and fine-tune advanced machine learning and deep learning models to meet performance and scalability goals.
• Help integrate models seamlessly into clients’ production pipelines, ensuring robustness, reliability, and business alignment.
• Participate in build-outs of reusable AI components and accelerators to standardize delivery and drive practice-level efficiencies.
• Track and manage your billable utilization, ensuring accurate invoicing, strong client ROI, and CBTS profitability.

What This Job Offers

• Number of Employees: 1,001-5,000 employees