Posted 6mo ago

Senior Machine Learning Engineer

@ MotorK
Milan, Lombardy, Italy
HybridFull Time
Responsibilities:Own ML, Build models, Lead experiments
Requirements Summary:3+ years building and deploying ML systems; strong Python and ML frameworks; production pipelines; deep learning, predictive analytics; experience shipping models in cloud environments (AWS).
Technical Tools Mentioned:Python, TensorFlow, PyTorch, Scikit-learn, XGBoost, AWS, Kubeflow, SageMaker, MLOps
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Job Description

As a Machine Learning Engineer at MotorK, you’ll be at the center of how data becomes product. You’ll architect, train, and deploy machine learning systems that power predictive maintenance, automated classification, and next-gen marketing experiences for the automotive world.

You’ll shape strategy, own systems end-to-end, and see your work ship fast. If you’re obsessed with performance, experimentation, and building things that matter, you’ll feel right at home here.

What You’ll Do:

  • Own the ML stack - from design and prototyping to deployment and optimization.
  • Build models that learn, scale, and deliver measurable business outcomes.
  • Partner with product, data, and engineering teams to turn ambiguous problems into real, shipped solutions.
  • Drive A/B testing and experimentation to quantify impact and continuously evolve our intelligence layer.
  • Lead by example: mentor, challenge, and level up the broader data science and engineering community.
  • Push boundaries with cutting-edge ML, MLOps, and cloud-first architectures — AWS, Kubeflow, SageMaker, or whatever tech gets the job done.