Posted:2 months ago|
Platform:
Work from Office
Full Time
The global engineering team is responsible for the development of reference auxiliaries and adaptation to customer requirements for large gas & steam turbines and generator packages.
The Tools and Data Management (TDM) department is represented in Germany, India and USA and is administrating and further developing the engineering tool landscape including its data.
To improve efficiency and daily work experience of the engineering teams, we focus on: Easy user interfaces, seamless flow of data between tools, excellent tool performance, simplification of the tool landscape and the application of effective techniques to evaluate, interpret and visualize data.
In the morning, you will continue reviewing ideas from the GCO team to identify business processes where generative language AI solutions can add value. You will engage with idea providers to understand their motivations and details better. After evaluating the input, you will refine your shortlist of potential projects. Before lunch, you will join the Siemens Energy (SE) AI community meeting to stay updated on the latest developments in the field.
After lunch, you will present AI techniques, opportunities, and limitations to the Bid Management team at GCO. You will highlight promising ideas from your shortlist and initiate discussions about which ideas should be prioritized for implementation. In the afternoon, you'll collaborate with colleagues to discuss new ideas and the necessary architecture for data sources, APIs, and data lakes. You will end your day by summarizing progress and planning the next steps.
Then, its time and you call it a day.
Masters degree in computer science, data science, applied mathematics, statistics or comparable engineering/IT discipline
Minimum 2 years of experience in developing AI applications and integration of AI with existing applications
Enthusiastic about unleashing the full potential of data, data analytics and AI/ML solutions in operative business processes
Advanced programming skills with Python and other relevant programming languages (e.g., Java, JavaScript)
Proficiency with database management systems (e.g., SQL and NoSQL)
Experience with cloud platforms (e.g., AWS, Azure and GCP).
Excellent team player in global interdisciplinary teams
Experience working within Agile or Scrum frameworks
Open mindset to new technologies and enthusiastic to continuously learn
Analytical mindset and a systematic style of working
Siemens
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