Siemens Energy AI/Machine Learning Engineer Jobs 2026 | Entry-Level & Graduate Hiring

Siemens Energy AI/Machine Learning Engineer Jobs 2026 | Entry-Level & Graduate Hiring

Siemens Energy is hiring AI/Machine Learning Engineers for its Gurgaon office under the Digital Products and Solutions (DPS) organization. This full-time opportunity is ideal for entry-level graduates and candidates with up to three years of experience who are passionate about Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), and Generative AI technologies. Candidates with strong Python programming skills and academic or project experience in AI/ML are encouraged to apply.

As part of Siemens Energy’s Digital Products and Solutions team, you will work with experienced data scientists, software engineers, and product managers to build intelligent applications that support the global energy industry. This role offers excellent exposure to machine learning pipelines, Generative AI, cloud technologies, backend development, and enterprise AI solutions while contributing to innovative digital products.

Role Overview

The AI/Machine Learning Engineer will support the design, development, and deployment of intelligent software solutions that enable advanced analytics and AI-driven capabilities across Siemens Energy’s digital platforms. Working with cross-functional teams, you will contribute to machine learning workflows, backend APIs, Generative AI applications, and cloud-based solutions while building practical experience in enterprise AI engineering.

This position provides an excellent opportunity to strengthen your expertise in Python development, machine learning, NLP, cloud technologies, and software engineering while working on innovative products that support the global energy sector.

Key Responsibilities

• Assist in building and maintaining machine learning and basic Generative AI pipelines, including data preprocessing, model training, evaluation, and inference.
• Support the development of simple Retrieval-Augmented Generation (RAG) and NLP workflows under guidance.
• Work on text processing tasks such as data cleaning, parsing, chunking, and embeddings.
• Contribute to backend API development using technologies such as FastAPI to expose AI and ML functionalities.
• Help integrate AI models into enterprise applications and support deployment activities.
• Write clean, modular, and testable Python code following software engineering best practices.
• Collaborate with senior engineers and cross-functional teams to deliver product features.
• Debug, test, and optimize machine learning models and pipelines for performance and reliability.
• Stay updated with advancements in Artificial Intelligence, Machine Learning, and Generative AI technologies.

Required Skills & Eligibility

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 0–3 years of experience or a strong academic/project background in AI/ML.
• Good programming skills in Python.
• Strong analytical and problem-solving abilities.
• Basic understanding of Machine Learning concepts, NLP, and model evaluation.
• Exposure to libraries such as NumPy, Pandas, Scikit-learn, PyTorch, or TensorFlow.
• Familiarity with Generative AI concepts such as LLMs, Prompt Engineering, or RAG is an advantage.
• Basic understanding of APIs and backend development.
• Exposure to AWS or Azure cloud platforms is a plus.
• Knowledge of Git and software development best practices.
• Willingness to learn and adapt in a fast-paced environment.

Salary Insights

Siemens Energy has not officially disclosed the salary package for this role. Based on current market standards, entry-level AI/Machine Learning Engineers with similar skills may expect approximately ₹8–15 LPA. This estimate is provided for reference purposes only and should not be considered an official compensation announcement.

Why This Role Is a Good Opportunity

Artificial Intelligence and Machine Learning continue to be among the fastest-growing technology domains globally. This opportunity allows candidates to gain practical experience in enterprise AI development, NLP, Generative AI, cloud platforms, backend engineering, and software development while working on real-world energy technology solutions. The experience gained can open career opportunities in AI Engineering, Machine Learning Engineering, Data Science, Backend Development, and Cloud AI Solutions.

📘 Recommended Skills & Learning Resources

Strengthening your AI, programming, and cloud fundamentals will help you build a successful career in machine learning engineering.

• Python Programming Course
• Data Science Complete Course
• AWS Cloud Computing Course

🎯 Interview Preparation Resources

Prepare Python programming, machine learning concepts, NLP, Generative AI fundamentals, APIs, and behavioral interview questions before attending the interview process.

• How Engineering Students Can Prepare for AI-Based Hiring in 2026
• Top AI Skills Freshers Must Learn in 2026

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How to Apply for Siemens Energy

1. Click the Apply Now button below.
2. Visit the official Siemens Energy Careers portal.
3. Review the eligibility criteria and job requirements.
4. Update your resume with AI/ML projects, Python skills, and relevant coursework.
5. Complete the online application form.
6. Submit your application and monitor your email for recruitment updates.

Apply Now – Siemens Energy

Q1. Who can apply for this role?

Candidates with a Bachelor’s degree in Computer Science, IT, or a related field and 0–3 years of experience or strong AI/ML academic projects can apply.

Q2. What is the expected salary?

Siemens Energy has not officially announced the salary package. Based on current market standards, similar AI/Machine Learning Engineer roles may offer approximately ₹8–15 LPA.

Q3. Is this a remote, hybrid, or office-based role?

This position follows a hybrid work model and is based in Gurgaon, Haryana.

Continue improving your Python programming, machine learning, cloud computing, and Generative AI skills while preparing for technical interviews. Visit our website regularly for the latest AI, software engineering, and technology job opportunities from leading global companies.