Werkstudent*in Data and Machine Learning Engineering (d/f/m)

Working Student Data and Machine Learning Engineering (d/f/m)

Werkstudierende, Voll- oder Teilzeit · München

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Join our team

Working student position, full- or part-time (at least 10 hours; 40 hours possible in the semester holidays), starting immediately, Munich

With us you get

• Help shape the future of energy: a secure job with meaning in a growing, future-oriented, and sustainable company.
• Grow beyond yourself with us: a breeding ground for your own ideas, room for self-development and the opportunity to take on responsibility, combined with a range of internal and external training opportunities.
• Keep your balance: Choose between an allowance for sports (EGYM) or public transport. We also offer a company pension plan, flexible working hours, remote work, and the opportunity to work abroad in an EU country. In addition, you get 30 vacation days per year plus public holidays.
• Have fun with us: company events like barbecues on the roof terrace, summer party and Christmas party. There is also a living room with table football, darts, table tennis, and more.
• Feel good: a supportive working atmosphere in a passionate team.
• Shop sustainably: company discounts with sustainable companies through FutureBens.
• Get everything you need to contribute: complete hardware equipment (laptop, mouse and headset) and a detailed onboarding on site in Munich.
• Work comfortably and healthy in the office: very good workstation equipment, adjustable desks, multiple screens per workstation, sofa room, shared kitchen, and more.

Your new role

• Create and optimise machine learning models in Python to address practical business challenges, ensuring high performance and accuracy
• Architect, implement, and manage robust data analysis pipelines to efficiently process and analyze large datasets, enhancing data accessibility and usability
• Engage in impactful projects such as time series analysis for demand forecasting, building recommendation systems, and customer behavior analytics to drive actionable insights and business value
• Propose and implement innovative ideas for new use cases in collaboration with cross-functional teams, fostering creativity and driving advancements in AI applications

What you bring

• Advanced Bachelor's or Master's degree in information science, mathematics, engineering or another qualification with relevant programming and data analysis skills
• Very good programming skills in Python, initial experience with data analysis libraries (e.g. Pandas, NumPy) and ML libraries (e.g. TensorFlow, PyTorch, scikit-learn) as well as basic concepts and experience in the implementation of ML models and good knowledge of visualisation tools (e.g. Matplotlib, Seaborn)
• Ability to develop creative and logical approaches to solve complex problems, to delve deeply into topics, to find innovative solutions and to communicate them effectively with team members and stakeholders, as well as to organise independently
• Very good language skills in German (C1) or English (C1). 

Questions? Contact Francesca at ****@m*****o.de.

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