Position: AI/ML Engineer - Intern
Location: Bangalore (On-site)
Duration: 6 Months
About Us:
At EMO Energy were building next-generation EV and energy technologies. As we expand our software and intelligence stack were integrating AI/ML to enable smarter energy systems predictive insights automation and enhanced product workflows. If youre 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 Were Looking For:
- Final-year students pursuing AI/MLComputer 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.
Required Skills:
numpyai/mlscikit-learnpattern detectionautomationregression modelscloud ai toolsenergy systemspandapythondata visualizationmulti-layer perceptrondatasets
Position: AI/ML Engineer - Intern Location: Bangalore (On-site) Duration: 6 Months About Us:At EMO Energy were building next-generation EV and energy technologies. As we expand our software and intelligence stack were integrating AI/ML to enable smarter energy systems predictive insights automation...
Position: AI/ML Engineer - Intern
Location: Bangalore (On-site)
Duration: 6 Months
About Us:
At EMO Energy were building next-generation EV and energy technologies. As we expand our software and intelligence stack were integrating AI/ML to enable smarter energy systems predictive insights automation and enhanced product workflows. If youre 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 Were Looking For:
- Final-year students pursuing AI/MLComputer 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.
Required Skills:
numpyai/mlscikit-learnpattern detectionautomationregression modelscloud ai toolsenergy systemspandapythondata visualizationmulti-layer perceptrondatasets
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