Machine Learning Manager @ Harvey Nash Technology

2 days ago


Warsaw, Czech Republic Harvey Nash Technology Full time
  • At least 4 years of hands-on experience building and running production-level deep learning solutions (background in computer vision is a big advantage)
  • Minimum 3 years in a management role, leading and developing people (or much more hands-on experience and some of team leading)
  • Strong problem-solving abilities and solid programming skills in a modern language (our stack includes Python and C++)
  • Experience in designing and structuring large-scale, multi-layered software systems
  • Excellent English communication skills, both written and spoken

Here’s why we enjoy working here—and why we think you might too:

  • We’re rapidly expanding our machine learning team
  • We bridge cutting-edge research with world-class engineering to tackle real-world challenges
  • We design and build AI-powered robots
  • Our robots are already running in production environments
  • We’re still small enough that every person makes a direct impact on both the product and the way we work
,[Responsibilities:, Shaping and guiding self-organized, high-performing teams dedicated to making our robots smarter and our customers happier, Fostering a culture of trust, open feedback, and bold problem-solving, Advancing robotic capabilities to autonomously manipulate objects using a variety of tools (suction, finger grippers, and beyond), Owning the deployment, continuous improvement, and data-driven evaluation of ML systems in production, Planning and executing R&D projects from exploration to rollout, Building interfaces and APIs that seamlessly integrate ML algorithms with robots and warehouse management systems] Requirements: Machine learning, AI, ABB, Research and development, Machine Learning, Python, C++, GCP Tools: . Additionally: Remote work, Support for relocation, Sport subscription, Training budget, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Canteen, Bike parking, Free beverages, In-house trainings, Modern office, Startup atmosphere, No dress code.

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