Senior Machine Learning Engineer, Tech Lead at McKinsey & Company
Stockholm, Stockholm County, Sweden
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Summary
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Rockstar
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Top School
Kasper Janehag is a Senior Machine Learning Engineer and Tech Lead at QuantumBlack (McKinsey) with seven years of experience building and operationalizing ML systems at scale. He specializes in MLOps and cloud-native deployments—designing infrastructure and tools like ArgoCD, Prometheus, EMR and Kubernetes to reliably ship production models. Kasper has led one of McKinsey’s largest ML assets, mentoring teams and aligning solutions with complex stakeholder needs across utilities, aerospace and consulting clients. His background blends rigorous aerospace research (University of Washington M.Sc., CFD and wind-tunnel experiments at NASA) with hands-on data science and engineering in industry, giving him a rare mix of theoretical depth and production-focused delivery. Based in Stockholm, he is known for fostering collaborative, continuously improving teams that bridge research-grade models and robust operational pipelines.
7 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Aeronautics & Astronautics, 3.9/4.0, Master of Science (M.Sc.), Aeronautics & Astronautics, 3.9/4.0 at University of Washington
Bachelor of Science (B.Sc.), Mechanical Engineering, 4.9/5.0, Bachelor of Science (B.Sc.), Mechanical Engineering, 4.9/5.0 at Chalmers University of Technology
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