AI/Machine Learning Engineer
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Benefits offered by this job
Job summary
Qualifications
- 0–3 years of experience or strong academic/project background in AI/ML.
- Familiarity with Generative AI concepts is a plus.
- Basic understanding of APIs and backend development.
Responsibilities
- Assist in building and maintaining ML and AI pipelines.
- Support development of NLP workflows.
- Contribute to backend APIs to expose ML/AI functionalities.
Skills
Education
Tools
Job description
Siemens Energy Industrial Turbomachinery India Private Limited Gurugram Apprentice Fresher Not Disclosed Posted 2 days ago
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 : Experienced Professional
Location : India , Haryana , Gurugram
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.
- 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.
- 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
In the central Digital Products and Solutions (DPS) organization, our Software Application and Engineering department is responsible for developing software solutions for both internal and external customers.
In DPS, our software products already cover a wide range of categories, and we see many opportunities for growth: Asset Performance Management, Energy Management, Asset Monitoring, Asset Health Prediction, Customer Portal & AI-assisted Applications, Connectivity & Edge, Backend Core / Domain / Platform Services, and Professional Services.
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world’s electricity generation.
Our distributed team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
We energize society, all of society, and we do not discriminate based on our differences.
- Employees are eligible for Remote Working arrangements up to 1 day(s) per week.
- All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age.
- Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy as a part of CTC, tax saving measure.
- Flexi Pay empowers employees with the choice to customize the amount in some of the salary components within a defined range thereby optimizing the tax benefits. Accordingly, each employee is empowered to decide on the best possible net income out of the same fixed individual base pay on a monthly basis.
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