Siemens Energy AI ML Engineer 2026 | Entry Level | Gurgaon — Apply Now: Siemens Energy AI ML Engineer 2026 hiring is now open for an entry-level AI / Machine Learning Engineer role in Gurgaon. Siemens Energy, a global leader in energy technology, is actively hiring candidates with 0–3 years of experience to develop machine learning and Generative AI solutions within its Digital Products and Solutions organization. Therefore, this is an excellent opportunity for freshers and early professionals to work on impactful AI-driven projects.
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Siemens Energy is a strong choice for freshers aiming to build a career in AI and machine learning within a global tech-driven energy company. This role is ideal if you have Python skills and a basic understanding of ML and NLP. The selection process is moderately challenging, focusing on ML fundamentals and coding. Apply early to secure your chance.
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| FIELD | DETAILS |
|---|---|
| COMPANY | Siemens Energy |
| ROLE | AI / Machine Learning Engineer |
| LOCATION | Gurgaon, Haryana, India |
| ELIGIBILITY | B.E / B.Tech (CS / IT or related) |
| EXPERIENCE | 0–3 Years (Entry Level) |
| SALARY | Competitive |
| APPLY MODE | Online |
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Siemens Energy is more than just an energy technology company, with over 100,000 employees across 90+ countries working toward building the energy systems of the future. Moreover, its Digital Products and Solutions division develops advanced software solutions in areas such as Asset Performance Management, Energy Management, and AI-driven applications. As a result, employees gain exposure to cutting-edge technologies shaping the global energy transition.
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In this role, you will contribute to building innovative machine learning solutions that drive real business outcomes. Additionally, you will collaborate with data scientists, software engineers, and product managers to design, develop, and maintain robust ML models and workflows. Furthermore, you will help integrate AI capabilities into modern applications.
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- • First, assist in building and maintaining ML and basic Generative AI pipelines including data preprocessing, training, evaluation, and inference
- • Next, support the development of RAG-based and NLP workflows under guidance
- • Additionally, work on text processing tasks such as cleaning, parsing, chunking, and embeddings
- • Moreover, contribute to backend APIs (e.g., FastAPI) to expose AI/ML functionalities
- • Finally, debug, test, and optimize models and pipelines for performance and reliability
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- • Candidates must hold a Bachelor’s degree in Computer Science, IT, or a related field
- • Furthermore, 0–3 years of experience or a strong academic/project background in AI/ML is required
- • In addition, good programming skills in Python and strong problem-solving ability are essential
- • Also, a basic understanding of ML concepts, NLP, and model evaluation is expected
- • Lastly, exposure to libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow is preferred
Skills Required for Siemens Energy AI ML Engineer
• Python programming
• Machine Learning fundamentals
• Natural Language Processing (NLP)
• Generative AI (LLMs, prompt engineering, RAG)
• FastAPI and backend development
• Cloud platforms (AWS / Azure)
• Version control using Git
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The Siemens Energy hiring process is structured and moderately competitive.
• Round 1 – Online Application
• Round 2 – Technical / ML Assessment
• Round 3 – Technical Interviews (Python, ML, problem-solving)
• Round 4 – HR Interview
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Siemens Energy offers a competitive salary package along with mentorship from experienced engineers. In addition, candidates get the opportunity to work on impactful AI solutions contributing to the global energy transition, making it a highly rewarding career path.
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Follow these steps:
- Click the “Apply Now” button to access the official Careers portal.
- Sign up for a new account or log in using your existing credentials.
- Carefully review the complete job description.
- After that, fill in your academic and personal details.
- Upload your resume (maximum 2 pages with a passport photo).
- Finally, apply as early as possible since early applicants are often shortlisted first.
Apply as soon as possible to avoid missing out.
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• First, strengthen your Python programming and problem-solving skills
• Next, revise core Machine Learning concepts (supervised/unsupervised learning, evaluation metrics)
• Additionally, learn basics of NLP and Generative AI (LLMs, RAG concepts)
• Moreover, practice working with libraries like Pandas, NumPy, and scikit-learn
• Alongside this, build 1–2 AI/ML projects to showcase practical knowledge
• Finally, prepare for scenario-based and technical interview questions
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Q1. What is the role of a Siemens Energy AI ML Engineer in 2026?
It is an entry-level AI / Machine Learning Engineer role in Gurgaon within the Digital Products and Solutions team.x
Q2. Who is eligible to apply?
Candidates with a Bachelor’s degree in CS/IT or related fields and 0–3 years of experience or strong AI/ML project background are eligible.
Q3. What is the job location?
The role is based in Gurgaon, Haryana, India.
Q4. What skills are required for this role?
Python, Machine Learning, NLP, Generative AI basics, and problem-solving skills are important.
Q5. What is the selection process?
It includes an application, technical/ML assessment, technical interviews, and an HR round.
Q6. Is this role suitable for freshers?
Yes, this role is designed for entry-level candidates and freshers with relevant skills.