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EMO.energy
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AI/ML Engineer - Intern

AI/ML Engineer - Intern

EMO.energy

0 years

0 Lacs

bengaluru karnataka india

Posted:1 week ago| Platform:

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Skills Required

ai ml software stack automation engineering data analysis model development support extract regression power stats preprocess vertex openai python numpy learning evaluation debugging panda visualization

Work Mode

On-site

Job Type

Internship

Job Description

🔹

Position:

AI/ML Engineer - Intern📍

Location:

Bangalore (On-site)📅

Duration:

6 Months

🚀 About Us

At EMO Energy, we’re building next-generation EV and energy technologies. As we expand our software and intelligence stack, we’re integrating AI/ML to enable smarter energy systems, predictive insights, automation, and enhanced product workflows. If you’re excited about applying AI in real-world engineering environments, this is the place to learn and build.

⚡ Job Summary

We are looking for an AI and ML Engineer - Intern who will work on data analysis, model development, and integrating ML-powered features into our platforms. You will collaborate with backend and product teams to build lightweight ML pipelines, experiment with cloud AI tools, and support ongoing AI/automation initiatives.

🎯 What You Will Do

Analyse battery datasets (voltage, current, capacity, cycles) to extract insights.
Detect charging, discharging, and idle modes using data-driven logic.
Develop and evaluate ML models (Regression, Boosting, MLP).
Engineer features like power, rolling stats, dV/dt, dI/dt, and mode flags.
Preprocess time-series data and handle outliers, noise, and inconsistencies.
Create clear visualizations (time-series, scatter, comparison plots).
Document analysis steps, model results, and key findings.
Integrate ML outputs into scripts or backend APIs with guidance.
Explore cloud AI or LLM APIs (Vertex AI, OpenAI) for internal tools.
Collaborate with Engineering teams on data-driven workflows.

✅ What We’re Looking For

Final-year students pursuing AI/ML,Computer Science, Data Science Engineering, or related fields.
Strong Python fundamentals and understanding of ML workflows.
Familiarity with Scikit-learn, Pandas, NumPy, and basic deep learning frameworks.
Understanding of regression models and evaluation metrics.
Ability to work with time-series data and engineer meaningful features.
Good analytical and debugging skills with eagerness to learn.
Bonus: Exposure to energy systems or battery datasets.

💡

Why Join Us?

Work on real-world EV and energy datasets.
Build ML pipelines that support live engineering systems.
Hands-on exposure to cloud platforms and modern AI tools.
Fast-paced learning environment with mentorship from experienced engineers.
Opportunity for full-time conversion based on performance.

Note:

This is a paid internship.Skills: numpy,ai/ml,scikit-learn,pattern detection,automation,regression models,cloud ai tools,energy systems,panda,python,data visualization,multi-layer perceptron,datasets

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AI/ML Engineer - Intern