Siemens Energy is hiring an AI/Machine Learning Engineer for its Digital Products and Solutions team in Gurgaon, India. The entry-level/graduate role is suited to candidates with a bachelor’s degree in computer science, IT or a related field, along with 6 months to 1 year of experience or a strong academic/project background in AI/ML. The engineer will build machine learning and basic Generative AI pipelines, develop NLP and RAG workflows, and help integrate AI features into applications through Python and backend APIs. It is worth considering for candidates who want hands-on exposure to ML deployment, FastAPI, cloud platforms and AI product development within a global energy technology company.
Company Overview
Siemens Energy develops energy technologies and systems that support reliable and sustainable power generation, transmission and consumption. The company has nearly 100,000 employees across more than 90 countries, and its technologies provide the foundation for around one sixth of the world’s electricity generation. Its work in decarbonisation, digital products and energy transformation gives technology professionals relevant experience in a large, globally distributed industrial organisation.
| Company Name | Siemens Energy |
| Job Role | AI/Machine Learning Engineer |
| Qualification | Bachelor’s degree in Computer Science, IT or a related field |
| Salary | Rs. 8-12 LPA (estimated) |
| Batch | 2026 |
| Job Location | Gurgaon |
| Experience | 6 months to 1 year of experience or a strong academic/project background in AI/ML |
| Employment Type | Full-time |
| Category | Freshers Job |
Role Overview
This role involves turning raw data into usable machine learning capabilities for applications and business workflows. The engineer will work with data scientists, software engineers and product managers while learning how models move from experimentation into reliable products.
- Build practical ML and basic Generative AI workflows covering data preparation, training, evaluation and inference.
- Support AI-enabled applications by connecting models, APIs and deployment components.
- Improve the performance, reliability and usability of models and pipelines used by cross-functional teams.
Eligibility & Qualifications
- Entry-level/graduate position for candidates with a bachelor’s degree in computer science, IT or a related field.
- Applicants should have 6 months to 1 year of experience or a strong academic/project background in AI/ML.
- Good programming skills in Python and a strong problem-solving ability are required.
- Basic understanding of machine learning concepts, NLP and model evaluation is required.
- Basic understanding of APIs and backend development is expected.
- Knowledge of Git and basic software development practices is required.
- Candidates should be willing to learn, adapt and work in a fast-paced environment.
Key Responsibilities
- Prepare data and contribute to preprocessing, model training, evaluation and inference stages of ML pipelines.
- Support the development of simple Retrieval-Augmented Generation and NLP workflows under guidance.
- Clean, parse and chunk text data, and create embeddings for downstream AI applications.
- Develop or contribute to backend APIs, including FastAPI services that expose ML and AI functionality.
- Integrate AI models into applications and assist with deployment activities.
- Write clean, modular and testable Python code in line with software development best practices.
- Collaborate with senior engineers and cross-functional teams to deliver product features.
- Debug, test and optimise models and pipelines for performance and reliability.
- Track basic developments in AI/ML and Generative AI and apply relevant learning to assigned work.
Skills Required
- Python programming
- Machine learning fundamentals and model evaluation
- Natural language processing
- Generative AI concepts, including large language models, prompt engineering or RAG
- Text processing, data cleaning, parsing, chunking and embeddings
- Exposure to NumPy, Pandas, scikit-learn or PyTorch/TensorFlow
- Basic API and backend development knowledge
- FastAPI exposure is useful for the backend work involved in the role
- Exposure to AWS or Azure is an added advantage
- Git and basic software development practices
- Problem-solving ability
- Willingness to learn and adapt
Why Join Siemens Energy
The role offers practical exposure to machine learning, Generative AI, NLP, backend APIs and deployment rather than limiting work to model experimentation. Siemens Energy also provides employees with medical insurance, family floater coverage, a meal card option and Flexi Pay, while the global business offers experience connected to large-scale energy systems and the ongoing energy transition.
How to Apply for Siemens Energy Hiring 2026
Eligible and Interested candidates can apply using the below-mentioned link before the link expires. Applicants need to register with the company portal in order to complete the registration process.
Apply Link: Click Here To Apply
