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AI & ML Intern

Salary

₹5 - 5 LPA

Min Experience

0 years

Location

Remote

JobType

Internship

About the job

Info This job is sourced from a job board

About the role

Calling all AI enthusiasts, data tinkerers, and future ML rockstars! At Pexaworks, we turn bold digital ideas into mind-blowing realities. AI-powered magic? Check. Sleek mobile apps? Double check. Now, we need a Machine Learning Intern to join our squad and help us build smarter, faster, and more wow-worthy solutions. If you're ready to level up your ML skills, dive into real-world projects, and hang with a team that actually loves what they do—keep reading. If not… well, thanks for stopping by! What You'll Be Doing (Your Superpowers) Building & Training Models – Play with data, tweak hyperparameters, and teach our algorithms to be smarter than ever. Data Wrangling – Cleaning, organizing, and making sense of messy data like a true data whisperer. Experimenting & Optimizing – Testing different ML models, analyzing results, and improving accuracy (because good isn't good enough). Deploying & Integrating ML – Help turn our AI prototypes into real, working solutions. Learning & Innovating – Stay up to date with the latest ML trends and bring fresh ideas to the table. What We're Looking For Currently pursuing (or recently finished) a degree in CS, Data Science, AI, or something equally cool. Familiar with Python & ML frameworks like TensorFlow, PyTorch, or scikit-learn (bonus points if you've built your own ML model before). Strong grasp of statistics, data structures, and algorithms—because ML isn't just magic, it's math. Curious and eager to experiment—we want a problem-solver, not just a code monkey. Team player who can collaborate, communicate, and maybe even crack a joke! Why You'll Love It Here Real Projects: No coffee runs or busywork—get hands-on experience with AI-driven solutions. Awesome Mentors: Work with a team that's been there, done that, and wants to help you grow. Flexible & Remote-Friendly: Work in your PJs? Fine by us. Career Growth: If you crush it, who knows? This internship could be just the beginning. Impact: Your code won't collect dust—it'll power real-world innovations.

Skills

Python
PyTorch
TensorFlow
scikit-learn