A Snapshot of Your Day:
Join a forward-thinking team dedicated to harnessing the transformative power of AI within the energy sector. As an AI/ML Engineer, you will proactively lead the design and delivery of sophisticated, scalable, and resilient Generative AI based solutions on Cloud Based platform, driving the energy transformation and advancing Siemens Energy's strategic goals.In this role, you'll write code, test, and deploy advanced AI applications, in addition to building machine learning models, creating programming interfaces, and making them accessible to existing software!
How You’ll Make an Impact:
- Partner with developers in Agile teams to merge LLMs and classical AI into end-user apps, emphasizing user experience and real-time performance.
- Customize LLMs: Tailor pre-trained models to meet business needs using timely engineering, transfer learning, and few-shot methods.
- Data Hygiene: Collect, clean, and preprocess large datasets to ensure high-quality input for AI models.
- Model Validation & Reporting: Measure and validate the performance of AI models using appropriate metrics. Document AI models, algorithms, and processes, and communicate findings and results to stakeholders.
- Integration: Integrate external knowledge sources including databases, APIs and document repositories to enrich LLM with real time or domain specific information
- Collaboration: Work with data scientists, software engineers, and product managers to integrate AI solutions into products and services
What You Bring:
- Bachelor’s degree in computer science, Engineering, or a related field.
- 2-4 years of experience in software development with AI-based applications.
- 2+ years of experience with Python with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Hands on knowledge of AWS and/or Azure Cloud platforms and leveraging their AI based services and integrating hosted ML Models to existing solutions.
- Ability to integrate LLM and statistical ML models to interfaces using FAST APIs.
- Proficiency with Deep learning framework such as Keras or TensorFlow.
- Data Engineering: Expertise in working with structured and unstructured data, including data cleaning, feature engineering with data stores like vector, relational, NoSQL databases and data lakes through APIs
- Familiarity with CI/CD pipelines, Version control using Git, VSCode IDE.
About The Team
Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities. Candidates want to learn about the divisions they will be joining-the structure, how it works together, and the role it plays in driving Siemens Energy’s mission forward.
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 distributed 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
- All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age.
- Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy.As a part of CTC, tax saving measure
- Flexi Pay empowers employees with the choice to customize the amount in some of the salary components within a defined range thereby optimizing the tax benefits. Accordingly, each employee is empowered to decide on the best Possible net income out of the same fixed individual base pay on a monthly basis.
https://jobs.siemens-energy.com/jobs
