Reports To Director - Information Security

About the Role At ChargePoint, we are building the future of electric mobility. As a Junior Platform Engineer, you will play a critical role in integrating advanced AI and machine learning capabilities into our platform infrastructure. You will help drive innovation by prototyping, testing, and deploying intelligent models that enhance platform security, efficiency, and the overall EV charging experience.

What You Will Be Doing In this role, you will work closely with senior engineering and cross-functional teams to build and maintain data pipelines and machine learning integrations. Your day-to-day will involve writing clean Python code, developing APIs, and automating processes to transition AI solutions from experimentation into staging and production environments. Success in this position means effectively bridging the gap between AI development and platform engineering to deliver scalable, intelligent features.

What You Will Bring to ChargePoint

- Assist in developing, training, and fine-tuning machine learning, deep learning, and NLP models.
- Support senior engineers in designing, building, and maintaining robust data pipelines.
- Implement foundational preprocessing, feature engineering, and data validation processes.
- Contribute to testing, evaluating, and optimizing model performance for scalability and accuracy.
- Deploy machine learning models into staging and production environments under the guidance of senior team members.
- Write clean, modular, and well-documented Python code for AI experiments and platform prototypes.
- Develop APIs, model inference scripts, and automate small-scale tasks to streamline engineering workflows.
- Collaborate with cross-functional teams to translate business requirements into technical deliverables.
- Research and stay continuously updated with emerging AI tools, frameworks, and MLOps techniques.

Requirements

- 1+ years of experience in AI/ML engineering, platform engineering, or relevant academic/internship projects.
- Bachelor's degree in Computer Science, Data Science, Engineering,



or equivalent practical experience.
- Solid programming skills in Python and foundational ML libraries (e.g., NumPy, Pandas, scikit-learn).
- Basic understanding of deep learning frameworks such as PyTorch or TensorFlow.
- Exposure to Natural Language Processing (NLP), Large Language Models (LLMs), or computer vision projects.
- Understanding of data structures, algorithms, and model evaluation metrics.
- Strong analytical problem-solving skills and a highly proactive willingness to learn new technologies.

Preferred Qualifications

- Hands-on experience with end-to-end ML projects, hackathons, or applied research work.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Knowledge of version control (Git), containerization (Docker), or basic MLOps concepts.
- Understanding of vector databases, embeddings, or Retrieval-Augmented Generation (RAG) architectures.

Location Bangalore / Gurgaon / Remote We are committed to an inclusive and diverse team. ChargePoint is an equal prospect employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

If there is a match between your experiences/skills and the Company needs, we will contact you directly.

ChargePoint is committed to fostering an inclusive workplace that welcomes and supports all qualified individuals. In alignment with this commitment, we ensure that persons with disabilities are provided with reasonable accommodations throughout the employment process.





If you need a reasonable accommodation to participate in the application or interview process, to perform essential job functions, or to access any other benefits and privileges of employment, please contact us at [email protected].

ChargePoint is an equal opportunity employer. Applicants only - Recruiting agencies do not contact.

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A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

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An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

📌 Junior Platform Engineer (Bengaluru)
🏢 ChargePoint
📍 Bengaluru