Siemens Energy – AI/ML Engineer

Job Description

About the Role
Job ID                       299962

Location                    India, Haryana, Gurgaon

Company                  Siemens Energy Industrial Turbomachinery India Private Limited

Organization            EVP Global Functions

Business Unit           Digital Products and Solutions

Full / Part time         Full-time

Experience Level      Entry-Level / Graduate

A Snapshot of Your Day
We are seeking a skilled AI/Machine Learning Engineer to join our team and help build innovative machine learning solutions that drive business outcomes. You will collaborate with cross-functional teams including data scientists, software engineers, and product managers to design, develop, and maintain robust machine learning models and workflows. Your work will involve transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to provide seamless user experiences and enhanced functionality.

How You’ll Make an Impact
Assist in building and maintaining ML and basic Generative AI pipelines (data preprocessing, training, evaluation, and inference).

Support development of simple RAG-based and NLP workflows under guidance.

Work on text processing tasks such as data cleaning, parsing, chunking, and embeddings.

Contribute to backend APIs (e.g., FastAPI) to expose ML/AI functionalities.

Help integrate AI models into applications and support deployment activities.

Write clean, modular, and testable Python code following best practices.

Collaborate with senior engineers and cross-functional teams to deliver features.

Debug, test, and optimize models and pipelines for performance and reliability.

Stay updated with basic advancements in AI/ML and Generative AI.

What You Bring
Bachelor’s degree in computer science, IT, or related field.

0–3 years of experience or strong academic/project background in AI/ML.

Good programming skills in Python and strong problem-solving ability.

Basic understanding of ML concepts, NLP, and model evaluation.

Exposure to libraries such as NumPy, Pandas, scikit-learn, or PyTorch/TensorFlow.

Familiarity with Generative AI concepts (LLMs, prompt engineering, or RAG is a plus).

Basic understanding of APIs and backend development.

Exposure to cloud platforms (AWS/Azure) is a plus.

Knowledge of Git and basic software development practices.

Willingness to learn, adapt, and work in a fast-paced environment.

Apply Now : CLICK HERE