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Head of Machine Learning

STX Next S.A.

  • Poznań, Greater Poland
  • offer expired 2 months ago
  • B2B contract
  • full-time
  • director
  • home office work
  • remote recruitment
  • Specializations:AI/ML, Big Data / Data Science

STX Next S.A.

Mostowa 38

Stare Miasto


Technologies we use

Operating system

Your responsibilities

  • As the Head of Machine Learning, you will be responsible for developing and executing a service line strategy that aligns with the company's overall goals. This will involve managing a team of machine learning and data engineers to ensure high-quality service delivery while also fostering a culture of growth and development within the team.

  • You will work hand in hand with our marketing experts to refine our offerings and explore untapped client opportunities. In close partnership with our dedicated sales teams, you will be instrumental in securing these valuable connections.

  • As a client partner and advisor, your expertise in Machine Learning will be key. You'll work closely with clients, understanding their goals and using your knowledge to recommend a development strategy that fits the latest industry standards.

  • Overall, you will play a critical role in driving the success of the company's services by leading a team of talented professionals, collaborating with clients to deliver exceptional results, and contributing to the development of the company's overall strategy.

Our requirements

  • Entrepreneurship: Demonstrating an entrepreneurial mindset by proactively identifying opportunities, thinking creatively, and being adaptable to evolving market trends can greatly enhance your impact as a head of machine learning.

  • Leadership Skills: As a head of machine learning, you'll be leading a team of professionals. Strong leadership, team management, and mentoring skills are crucial to guide your team effectively.

  • Technical Expertise: In-depth knowledge of various machine learning algorithms, data modeling, and analysis is a must. Experience with deep learning frameworks (e.gTensorFlow, PyTorch) and programming languages like Python or R is also important.

  • Educational Background: A master's or doctoral degree in a relevant field such as Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related discipline is preferred.

  • Business Acumen: Understanding the business context and how machine learning can provide value is essential. This includes the ability to identify opportunities for applying machine learning to business problems and translating technical concepts to non-technical stakeholders.

  • Communication Skills: Clear communication is vital for collaborating with cross-functional teams, presenting findings to both technical and non-technical audiences, and explaining machine learning concepts effectively. English level at C1 is required..

  • Research Mindset: Staying updated with the latest advancements in machine learning and AI research is valuable for keeping the team's skills and strategies current.

  • Domain Knowledge: Depending on the industry, having domain-specific knowledge can be advantageous. For example, if the company operates in healthcare, finance, or another specialized sector, familiarity with that industry's challenges and regulations could be important.

Division of working time

Remote work

This is how we organize our work

This is how we work

  • in house

Development opportunities we offer

  • technical knowledge exchange within the company


    • private medical care

    • life insurance

    • remote work opportunities

    • flexible working time

    • integration events

    Recruitment stages

    Online interview


    Technical interview

    STX Next S.A.

    Hi there!

    We are the biggest European Python Powerhouse with over 18 years of experience, several offices in Poland and deep commitment to Agile principles. Join a group of 500+ professionals dedicated to helping customers build outstanding products.

    Are you the NEXT one?

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