Chargepoint Work from Home Jobs; Hiring Junior Platform Engineer– Apply Now

Chargepoint Work from Home Jobs; Hiring Junior Platform Engineer

Remote Junior Platform Engineer Job Openings in India 2026!!!

Chargepoint announced job vacancy for the post of Junior Platform Engineer.The place of posting will be at Remote (Work from Home).Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the CompanyChargepoint
Required QualificationsGraduate
SkillsSolid programming skills in Python and foundational ML libraries
CategoryEngineering
Work TypeRemote

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.

Job Details

Θ Positions: Junior Platform Engineer

Θ Job Location: Remote (Work from Home)

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: 8754680002

Roles and Responsibilities:

  • 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.

Required Skills & Qualifications:

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

How to Apply

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Disclaimer:

The information provided on this page is intended solely for informational purposes for Students, Freshers & Experience candidates. All the recruitment details are sourced directly from the official website and pages of the respective company. Latest MNC Jobs do not guarantee job placement, and the recruitment process will follow the company’s official rules and Human Resource guidelines. Latest MNC Jobs do not charge any fees for sharing job information. Latest MNC Jobs strongly advise Students, Freshers & Experience candidates not to make any payments for any job opportunities.

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