“Siemens Energy” Openings for AI/Machine Learning Engineer

Job Role: AI/Machine Learning Engineer

Eligibility: Bachelor’s Degree in Computer Science, Information Technology, or a related field

Experience: 0–3 Years

Job Location: Gurgaon, Haryana

Company Profile:

Siemens Energy is a global energy technology company committed to shaping the future of sustainable energy. With nearly 100,000 employees across more than 90 countries, the company develops innovative technologies that support power generation, transmission, and industrial energy solutions. Its products and services play a significant role in enabling the global transition toward cleaner and more reliable energy systems.

The company focuses on delivering advanced digital solutions, automation technologies, and intelligent energy systems that improve operational efficiency and sustainability. By combining engineering excellence with cutting-edge technologies such as Artificial Intelligence, Machine Learning, cloud computing, and industrial digitalization, Siemens Energy helps customers solve complex energy challenges.

Siemens Energy offers a collaborative and inclusive work environment where innovation, continuous learning, and professional growth are encouraged. Employees have the opportunity to work on impactful global projects while developing technical expertise and contributing to the transformation of the worldwide energy sector.

Roles & Responsibilities:

• Assist in developing and maintaining Machine Learning and Generative AI pipelines.
• Support data preprocessing, model training, evaluation, and inference processes.
• Build simple RAG-based and Natural Language Processing (NLP) workflows.
• Perform text processing tasks such as data cleaning, parsing, chunking, and embedding generation.
• Develop backend APIs using FastAPI to expose AI and ML functionalities.
• Integrate AI models into applications and support deployment activities.
• Write clean, modular, maintainable, and testable Python code.
• Collaborate with senior engineers, data scientists, and cross-functional teams.
• Debug, test, and optimize AI models and ML pipelines for performance and reliability.
• Stay updated with emerging trends in Artificial Intelligence, Machine Learning, and Generative AI technologies.

Skills:

• Python
• Machine Learning
• Artificial Intelligence
• Generative AI
• Natural Language Processing (NLP)
• Retrieval-Augmented Generation (RAG)
• FastAPI
• NumPy
• Pandas
• Scikit-learn
• PyTorch
• TensorFlow
• API Development
• AWS (Basic Knowledge)
• Azure (Basic Knowledge)
• Git Version Control
• Data Preprocessing
• Model Evaluation
• Problem-Solving Skills
• Analytical Thinking
• Communication Skills
• Team Collaboration