Software Intern ML

About Us

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 worlds 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.

Reports To

Director NOC Delivery & Automation

What You Will Be Doing

Were looking for an AI/Machine Learning Intern to join our team and work on building intelligent systems that solve real-world problems. Youll gain hands-on experience developing training and deploying machine learning models while collaborating with experienced engineers and data scientists.

What You Will Bring to ChargePoint

• Develop and train machine learning models for classification regression and NLP tasks
• Preprocess clean and analyze datasets to extract meaningful insights
• Experiment with model architectures and hyperparameter tuning to improve performance
• Build and maintain data pipelines for model training and inference
• Document experiments results and methodologies for reproducibility

Requirements

• Strong programming skills in Python
• Basic knowledge of statistics and linear algebra
• Hands-on experience with machine learning libraries such as TensorFlow PyTorch or scikit-learn
• Understanding of core ML concepts including supervised/unsupervised learning neural networks and model evaluation metrics
• Familiarity with data manipulation using Pandas and NumPy
• Experience with natural language processing (NLP) using libraries like Hugging Face Transformers spaCy or NLTK
• Familiarity with computer vision frameworks and techniques (OpenCV CNNs YOLO or torchvision)
• Experience with vector databases (Pinecone Weaviate ChromaDB) for semantic search
• Knowledge of diffusion models (Stable Diffusion DALL-E) or GAN architectures
• Hands-on experience with LLMs (GPT Claude Llama) and prompt engineering
• Experience with cloud platforms (AWS GCP Azure) for ML workloads
• Knowledge of MLOps practices including model versioning experiment tracking (MLflow Weights & Biases) and deployment
• Published research or personal projects demonstrating ML expertise
• Participation in Kaggle competitions or similar challenges

Educational Qualifications

• Currently pursuing in Computer Science Data Science Artificial Intelligence Mathematics or related field
• Minimum 90% or 9.0 CGPA in current degree program
• Minimum 90% in Class XII / Class X (or equivalent)
• No active backlogs at the time of application

Location

Bangalore

We are committed to an inclusive and diverse team. ChargePoint is an equal opportunity 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.