Junior Platform Engineer

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Skills you'll use

What you'll do

• 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.

Who can apply

• 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).

About ChargePoint

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