Siemens Energy is hiring for the position of AI/Machine Learning Engineer in Gurgaon, India. Candidates with a Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Siemens Energy |
| Position | AI/Machine Learning Engineer |
| Qualifications | Bachelor’s Degree |
| Experience | 0-3 (Years) |
| Location | Gurgaon, India |
Key Responsibilities:
- Assist in building and maintaining machine learning (ML) and basic Generative AI pipelines, including data preprocessing, model training, evaluation, and inference.
- Support the development of simple Retrieval-Augmented Generation (RAG) and Natural Language Processing (NLP) workflows under the guidance of senior team members.
- Perform text processing tasks such as data cleaning, parsing, chunking, and generating embeddings to support AI applications.
- Contribute to the development of back-end APIs, such as FastAPI, to expose machine learning and AI functionalities.
- Assist in integrating AI models into applications and support deployment and production activities.
- Develop clean, modular, maintainable, and testable Python code by following software engineering best practices.
- Collaborate with senior engineers and cross-functional teams to design, develop, and deliver AI-powered features and solutions.
- Debug, test, and optimize machine learning models and data pipelines to improve performance, scalability, and reliability.
- Stay up to date with emerging trends, tools, and advancements in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI technologies.
Eligibility Criteria:
- Bachelor’s degree in Computer Science, Information Technology, or a related technical field.
- 0–3 years of experience in Artificial Intelligence (AI), Machine Learning (ML), or a strong academic and project background in these domains.
- Proficiency in Python programming with strong analytical and problem-solving skills.
- Basic understanding of machine learning concepts, Natural Language Processing (NLP), and model evaluation techniques.
- Hands-on experience with libraries and frameworks such as NumPy, Pandas, Scikit-learn, PyTorch, or TensorFlow.
- Familiarity with Generative AI concepts, including Large Language Models (LLMs), prompt engineering, or Retrieval-Augmented Generation (RAG), is an added advantage.
- Basic understanding of APIs and back-end application development concepts.
- Exposure to cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure is preferred.
- Familiarity with Git version control and standard software development best practices.
- Demonstrated willingness to learn new technologies, adapt to changing requirements, and thrive in a fast-paced collaborative environment.
About Company:
Siemens Energy is one of the world’s leading energy technology companies. The company works with its customers and partners on energy systems for the future, thus supporting the transition to a more sustainable world. With its portfolio of products, solutions and services, Siemens Energy covers almost the entire energy value chain – from power generation and transmission to storage. The portfolio includes conventional and renewable energy technology, such as gas and steam turbines, hybrid power plants operated with hydrogen, and power generators and transformers. A majority stake in the wind power subsidiary Siemens Gamesa Renewable Energy (SGRE) makes Siemens Energy a global market leader for renewable energies. An estimated one-sixth of the electricity generated worldwide is based on technologies from Siemens Energy.
How To Apply?
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