Siemens Energy
„Energetizáljuk a társadalmat” – mottónknak megfelelően innovatív technológiákkal és ötletek megvalósításával támogatjuk ügyfeleinket egy fenntarthatóbb világ elérésében. Több mint 100 000 alkalmazottunkkal világszerte formáljuk a jelen és a jövő energiarendszereit.
Grid Technologies
A megújuló energiaforrások emelkedő aránya, a növekvő energiaigény, az elöregedő infrastruktúra és a fokozódó komplexitás az új csatlakozási pontok mellett a meglévő hálózatok infrastruktúrájának megújítását és fejlesztését is igénylik.
A munkakörről
A Snapshot of Your Day
Imagine being at the forefront of innovation as a Machine Learning Engineer (m/f/d) Overhead Line Monitoring, where you design, build, and optimize cutting-edge machine learning models that drive business success. You will collaborate with talented data scientists, software developers, and product managers to transform analytical prototypes into robust, high-performing ML pipelines. Join us in creating scalable and efficient solutions that integrate seamlessly into applications, making a real impact on our organization and the industry!
How You’ll Make an Impact
- You will develop, implement, and optimize machine learning models for various analytics tasks, ensuring continuous improvement through performance evaluation
- Collaborate with data scientists to refine features and algorithms, enhancing model architecture for better results
- Build scalable, automated ML pipelines, implementing MLOps best practices for efficient workflows
- Deploy machine learning models to cloud or on-premise environments, developing REST APIs and monitoring performance in production
- Work closely with software engineers to integrate ML systems into applications, ensuring reproducibility and documentation of workflows
What You Bring
- You hold a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field
- You have 2–5+ years of experience in developing and deploying machine learning solutions, with strong proficiency in Python and ML libraries
- Experience with cloud ML services and a solid understanding of mathematics and statistics related to ML are essential
- Familiarity with data engineering tools and experience building APIs are advantageous
- You have a curiosity about new technologies and a growth mindset, with strong problem-solving skills
About the Team
Our Grid Technology team enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition. Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards/Benefits
- The opportunity to engage in an exciting environment on meaningful projects
- Opportunities for career growth within a supportive workplace culture
- International environment, along with a pension fund
- Enjoy flexible working hours and the option to work from home
- Access to a canteen or meal allowances
- And more!
https://jobs.siemens-energy.com/jobs
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