vor etwa 2 Monate
Studierendenjobs
Junior
#erneuerbareenergien#photovoltaik#nachhaltigkeit
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
Lesen Sie die Stellenbeschreibung in: Englisch EN
Deutsch
Join our team
Working student position, full- or part-time (at least 10 hours; 40 hours possible in the semester holidays), starting immediately, Munich
AI power for the energy transition! - Are you passionate about innovation in the field of artificial intelligence and looking for an opportunity to put your theoretical knowledge into practice? Use your skills in artificial intelligence enigneering to drive the energy transition forward with us. Work on pioneering projects that maximise the potential of renewable energy through intelligent technologies - and make the world of tomorrow greener. You will gain insights into various application areas of artificial intelligence and at the same time contribute with your innovative ideas. We look forward to getting to know you!
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).
Memodo = Wholesale and Energy:Experts
We offer all components for an energy supply from renewable energies, from photovoltaics to charging stations to heating systems. Since 2013, we have been shaking up the industry, standing on a firm footing and continuing to grow. Right at the start, we introduce you to our world and culture. And your expert knowledge will continue to grow. Our Memodo spirit is unique and is characterised by friendly and supportive cooperation. We strengthen it through events, mentoring programme & Co. Working in a home office or from Europe, among other things, ensures your balance. We look forward to getting to know you.
We offer all components for an energy supply from renewable energies, from photovoltaics to charging stations to heating systems. Since 2013, we have been shaking up the industry, standing on a firm footing and continuing to grow. Right at the start, we introduce you to our world and culture. And your expert knowledge will continue to grow. Our Memodo spirit is unique and is characterised by friendly and supportive cooperation. We strengthen it through events, mentoring programme & Co. Working in a home office or from Europe, among other things, ensures your balance. We look forward to getting to know you.
Diversity, equity, and inclusion statement
We want to live equal opportunities. We create a friendly, safe and supportive environment for all employees. You are welcome regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, national or ethnic origin, marital status, age, religion, or lack thereof. Hiring at Memodo is based on qualifications and business needs.
We want to live equal opportunities. We create a friendly, safe and supportive environment for all employees. You are welcome regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, national or ethnic origin, marital status, age, religion, or lack thereof. Hiring at Memodo is based on qualifications and business needs.
Apply!
Join our motivated team and let's drive the energy transition together! We look forward to receiving your application with CV and getting to know you!
Join our motivated team and let's drive the energy transition together! We look forward to receiving your application with CV and getting to know you!
Questions? Contact Francesca at ****@m*****o.de.
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