Junior Platform Engineer

With electric vehicles expected to be nearly 30% of new vehicle sales by 2025 and more than 50% by 2040, electric mobility is becoming a reality. ChargePoint (NYSE: CHPT) is at the center of this revolution, powering one of the world’s leading EV charging networks and a comprehensive set of hardware, software and mobile solutions for every charging need across North America and Europe. We bring together drivers, businesses, automakers, policymakers, utilities and other stakeholders to make e-mobility a global reality.

Since our founding in 2007, ChargePoint has focused solely on making the transition to electric easy for businesses, fleets and drivers. ChargePoint offers a once-in-a-lifetime opportunity to create an all-electric future and a trillion-dollar market.

At ChargePoint, we foster a positive and productive work environment by committing to live our values of Be Courageous, Charge Together, Love our Customers, Operate with Openness, and Relentlessly Pursue Awesome. These values guide how we show up every day, align, and work together to build a brighter future for all of us.

Join the team that is building the EV charging industry and make your mark on how people and goods will get everywhere they need to go, in any context, for generations to come.

• 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.

• 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.

• 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