Data Scientist- Machine Learning/ Generative Ai

Há 1 mês

Amadora, Portugal Siemens Energy Tempo inteiro

**A Snapshot of Your Day**

Your work will contribute to process improvement, cost reduction, and support Siemens Energy in its mission to innovate and lead in the energy sector.

**How You’ll Make an Impact**
- Design, implement, and evaluate large-scale language models and generative AI use cases
- Work with data engineers to build cases and determine the most suitable solution for business partners' processes.
- Optimize the performance, scalability, and reliability of language, vision models and generative AI systems.
- Share the outcomes and findings of machine learning experiments and projects with collaborators and customers.
- Regularly validate and develop further AI solutions based on customer/user feedback
- Encouraging information exchange, providing assistance during trainings, and promoting awareness to support the implementation of AI/ML across the R&D teams.
- Being up to date on latest developments in data science, AI/ML principles and theories to help the business make truly data-driven decisions.

**What You Bring**

Must have:

- Master's degree or PhD in computer science, machine learning, natural language processing, or related fields, or equivalent experience in these areas.
- Proven analytical skills and profound expertise in data science with focus on Generative AI, LLMs, NLP and other artificial intelligence methods
- Passion for AI, data and analytics
- Interest in dealing with business processes and technical challenges in order to derive optimization potential
- Deep knowledge in at least one Machine learning environment (SageMaker, AI Studio, WatsonX or comparable)
- Willingness to travel with focus central Europe (~25%)
- Proficient command of the English language
- Excellent problem-solving, analytical, and communication skills.
- Attitude that values agility and excellent organizational/planning skills to manage multiple sophisticated projects.

Nice to have:

- Experience & interest in data engineering & migration
- Knowledge of snowflake SQL Scripting, Alteryx, SnapLogic.
- Knowledge in building End - to end data pipeline.

**About the Team**

Basic research is a key driver for innovation within Grid Technologies. We drive own innovation campaigns, collaborate with in
- and external partners & directly support product development with deed & profound technological expertise.

As part of this process, we construct and accumulate a substantial amount of data that necessitates careful examination. In the years ahead, we will delve deeper into the opportunities presented by process digitalization, Machine Learning, and generative AI.

Therefore we need high quality, validated data available in the right format & structure, to further evaluate them.

**Who is Siemens Energy?**

With 98,000 employees across 90+ countries, Siemens Energy develops energy systems for the future. Our technologies drive the energy transition and generate 1/6 of the world's electricity.

We have a distributed team that is determined to make balanced, reliable, and affordable energy a reality by pushing the boundaries of what is possible. With a 150-year legacy of innovation, we seek individuals who will contribute to our focus on decarbonization, new technologies, and energy transformation.

**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**
- Join a globally leading company in the Energy market with a vision for Decarbonization and dedication to the Energy Transition.
- Career growth and development opportunities and opportunities to work in the business unit or wider organization internationally
- Specific and dedicated training
- Company paid Health and wellness benefits
- Pension fund available if you want to subscribe with advantages offered by the company
- Medical centre available on campus for all employees
- Canteen with a variety of healthy offers
- Flexible working model (home office)
- 5 extra days ("Pontes" / “Bridges”), defined by the board, that everyone enjoys if not working abroad
- We offer your birthday as a holiday whenever it falls on a weekday
- Free car parking including free charging stations for electric vehicles
- Gym available so you can look after your wellbeing

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