Siemens Energy is Hiring AI/Machine Learning Engineer | Gurgaon | Freshers & Entry-Level Candidates Can Apply

Job Description

Siemens Energy is hiring AI/Machine Learning Engineers for its Gurgaon office. This opportunity is ideal for fresh graduates and early-career professionals who are passionate about Artificial Intelligence, Machine Learning, Python, Natural Language Processing (NLP), Generative AI, Retrieval-Augmented Generation (RAG), and backend AI development.

As an AI/Machine Learning Engineer, you will develop and maintain machine learning pipelines, support Generative AI solutions, build AI-powered applications, collaborate with cross-functional teams, and contribute to innovative digital products that support the global energy transition.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: Siemens Energy
𝐑𝐨𝐥𝐞: AI/Machine Learning Engineer
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Gurgaon, Haryana
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: Full-Time
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 0–3 Years (Freshers & Entry-Level)

𝐀𝐛𝐨𝐮𝐭 𝐒𝐢𝐞𝐦𝐞𝐧𝐬 𝐄𝐧𝐞𝐫𝐠𝐲

Siemens Energy is a global energy technology company with nearly 100,000 employees across more than 90 countries. The company develops innovative technologies that support sustainable, reliable, and affordable energy solutions while accelerating the global energy transition through digital transformation, AI, and advanced engineering.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As an AI/Machine Learning Engineer, you will help build and deploy machine learning models, support Generative AI workflows, develop AI-powered backend services, and collaborate with engineering teams to create intelligent applications that solve real-world business challenges.

Roles & Responsibilities

- Build and maintain Machine Learning and Generative AI pipelines.

- Support data preprocessing, model training, evaluation, and inference workflows.

- Develop basic RAG-based and NLP solutions.

- Perform text processing, data cleaning, parsing, chunking, and embedding generation.

- Build backend APIs using FastAPI or similar frameworks.

- Integrate AI models into production applications.

- Write clean, modular, and maintainable Python code.

- Debug, test, and optimize AI models for performance and reliability.

- Collaborate with senior engineers, data scientists, and product teams.

- Stay updated with the latest AI, Machine Learning, and Generative AI technologies.

Qualifications & Eligibility

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Freshers and candidates with up to 3 years of experience can apply.

- Good programming skills in Python.

- Strong analytical and problem-solving abilities.

- Basic understanding of Machine Learning and NLP concepts.

- Good communication and teamwork skills.

Skills Required

- Python

- Machine Learning

- Artificial Intelligence

- Generative AI

- Natural Language Processing (NLP)

- FastAPI

- NumPy

- Pandas

- Scikit-learn

- Problem Solving

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- PyTorch

- TensorFlow

- Large Language Models (LLMs)

- Prompt Engineering

- Retrieval-Augmented Generation (RAG)

- AWS

- Microsoft Azure

- Git

- Backend API Development

- Cloud Computing

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐒𝐢𝐞𝐦𝐞𝐧𝐬 𝐄𝐧𝐞𝐫𝐠𝐲?

- Work on real-world AI and Machine Learning projects.

- Gain hands-on experience with Generative AI technologies.

- Collaborate with experienced AI engineers and global teams.

- Contribute to digital solutions driving the energy transition.

- Learn modern AI development tools and cloud technologies.

- Access structured learning and career development programs.

- Build a long-term career with a global technology leader.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for careers such as:

- AI Engineer

- Machine Learning Engineer

- Data Scientist

- NLP Engineer

- Generative AI Engineer

- Python Developer

- Backend AI Developer

- MLOps Engineer

- AI Solutions Engineer

- Senior AI Engineer

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- B.E./B.Tech, M.Tech, MCA, and Computer Science or IT graduates.

- Fresh graduates interested in Artificial Intelligence and Machine Learning.

- Candidates with academic or personal AI/ML projects.

- Developers interested in Python, NLP, and Generative AI.

- Individuals looking to build expertise in LLMs, RAG, and AI-powered applications.

- Aspiring AI professionals seeking long-term career growth with a global technology company.