AI/Machine Learning Engineer at Siemens Energy | Gurgaon
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About the Role
Siemens Energy is looking for an AI/Machine Learning Engineer to help build and maintain machine learning solutions that support business outcomes. The role involves working with data scientists, software engineers, and product managers to design, develop, and maintain machine learning models and workflows.
You will work with raw data, improve algorithms for performance, and integrate AI capabilities into applications. The position focuses on delivering reliable ML pipelines and enabling practical AI features within digital products.
Key Responsibilities
- Assist in building and maintaining machine learning and basic generative AI pipelines including data preprocessing, training, evaluation, and inference.
- Support development of simple RAG-based and NLP workflows under guidance.
- Perform text processing tasks such as data cleaning, parsing, chunking, and generating embeddings.
- Contribute to backend APIs, for example using FastAPI, to expose ML and AI functionalities.
- Help integrate AI models into applications and assist with deployment activities.
- Write clean, modular, and testable Python code following standard development practices.
- Work with senior engineers and cross-functional teams to deliver product features.
- Debug, test, and optimize machine learning models and pipelines to improve performance and reliability.
- Stay informed about developments in AI, machine learning, and generative AI technologies.
What You Bring
- Bachelor's degree in Computer Science, IT, or a related field.
- 0–3 years of experience, or strong academic or project background in AI and machine learning.
- Programming proficiency in Python.
- Understanding of machine learning concepts, NLP fundamentals, and model evaluation methods.
- Experience with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
- Familiarity with generative AI concepts such as LLMs, prompt engineering, or retrieval-augmented generation is beneficial.
- Basic understanding of APIs and backend development.
- Exposure to cloud platforms like AWS or Azure is considered a plus.
- Working knowledge of Git and standard software development practices.
- Ability to learn quickly and adapt in a fast-moving development environment.
About Siemens Energy
Siemens Energy employs around 100,000 people across more than 90 countries and focuses on technologies that support reliable and sustainable energy systems. The company contributes to the global energy transition by developing solutions that power a significant portion of the world's electricity generation.
The organization values innovation, collaboration, and diversity. Teams work together across global locations to develop technologies that help address energy demand and support a lower-carbon future.
Rewards and Benefits
- Comprehensive medical insurance with a family floater cover for the employee, spouse, and up to two dependent children.
- Optional meal card benefits according to company policy.
- Flexi Pay options that allow employees to adjust certain salary components to optimize tax benefits.
Skills and topics
More jobs like this
Siemens AG is a German multinational conglomerate and one of the world's largest industrial manufacturing companies, headquartered in Munich and Berlin. Founded in 1847, Siemens operates across diverse sectors including automation, digitalization, electrification, healthcare, and mobility.
- Size
- 1,000+ people
- Open jobs on talentd
- 45 jobs
- Pay in this post
- ₹8–18 LPA
- Interview questions
- 23 on FleetCode, e.g. Merge Intervals
- Founded
- 1847
- Headquarters
- Munich, Germany
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Questions about this job
Can 2026 graduates apply for this Siemens AI/Machine Learning Engineer job?
Yes. The post takes batch 2023, 2024, 2025 and 2026, and asks for Bachelor’s degree in Computer Science, with 0–3 years of experience.
What is the salary for AI/Machine Learning Engineer at Siemens in Gurugram?
The post lists ₹8–18 LPA.
How do I prepare for the Siemens interview?
Practise the 23 Siemens questions on FleetCode, starting with the most asked ones.
