Machine Learning Engineer Intern

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Skills you'll use

What you'll do

• Work on training, packaging and deploying machine-learning models into production alongside the core team
• Apply Python, TensorFlow, Scikit-Learn, Model Deployment (MLOps) to live, production-facing problems
• Document your work clearly for reviewers and stakeholders
• Participate in reviews and act on the feedback you receive
• Collaborate across engineering, product, design or business as required
• Follow the team's quality, testing and documentation standards

Who can apply

• Pursuing or recently completed B.E./B.Tech (CSE/IT/ECE), BCA, MCA, M.Sc (CS / Statistics) or M.Tech — 2026 freshers & final-year students welcome
• Working knowledge of Python, TensorFlow, Scikit-Learn (or a genuine willingness to learn them)
• Strong fundamentals in your discipline and clear problem-solving ability
• Care with detail and the discipline to document your work
• Clear written and verbal communication in English
• Based in or willing to work from Sangli, Maharashtra

Perks & benefits

Interview & selection process

2 rounds — typical selection flow for this role:

1. 1Application screening & resume shortlisting by the talent team
2. 2Online aptitude / domain assessment

About FinBox

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