Senior Machine Learning Engineer - Cognite - AI for Industry
ML Engineer
Senior Machine Learning Engineer driving AI solutions for industrial digitalization, leveraging Python, deep learning frameworks, and AWS to build scalable models that deliver operational insights and value.
About the role
Key Responsibilities
Design, develop, and deploy production‑grade machine learning models for industrial data streams using Python and deep learning frameworks such as PyTorch or TensorFlow.
Collaborate with data engineers to build robust data pipelines and feature stores on AWS services (S3, Glue, SageMaker).
Implement model monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) workflows to ensure reliability and performance.
Translate complex business problems into scalable ML solutions, presenting findings to cross‑functional teams.
Stay current with emerging AI research and integrate cutting‑edge techniques into production systems.
Requirements
5+ years of experience in machine learning engineering, with a strong portfolio of deployed models.
Proficiency in Python, SQL, and experience with AWS ML services (SageMaker, Rekognition, etc.).
Deep knowledge of deep learning architectures, model optimization, and production best practices.
Strong analytical skills and ability to work in a fast‑paced, collaborative environment.
Excellent communication skills and a passion for solving real‑world industrial challenges.