Machine Learning (Computer Vision & Time Series Data)
About Nunam:
Nunam is set on a journey to build energy storage devices that
run on used lithium-ion batteries. As a result, we want to bring down
the cost of energy storage significantly in a highly carbon-friendly way
(due to reuse) against any other existing storage technology in the
market (mainly lead-acid batteries). We do this primarily for those
communities who need affordable energy the most and live with less or no
access to electricity today. The objective is to develop best in class
and hyper-efficient technologies, products and processes to reuse
batteries from any source and at scale. This goal is achievable with an
outstanding team, and therefore we are looking for an enthusiastic and
talented candidate who would be part of the core product development
team. You can find more context & info at http://www.nunam.com.
About the Internship:
Nunam is looking for a data engineering intern to join our lean
product development team. The intern will be responsible to experiment
on applications of ML/DL on battery health estimation and aging research
alongside with few computer vision problem statements.
Selected intern's day-to-day responsibilities include:
1. Designing, testing and implementing new machine learning and deep learning algorithms to improve our pattern detection and alert features
2. Processing, cleansing, and verifying the integrity of data used for analysis
3. Developing a solid understanding of the parameters that drive success in battery technology using machine learning techniques
4. Working and communicating effectively with an interdisciplinary team of battery experts, software engineers, and industry experts
What would interns learn in this internship?
Excellent opportunity to start from scratch and you will lead your own topics. We assure your work will directly impact the product experience.
Selected intern's day-to-day responsibilities include:
1. Designing, testing and implementing new machine learning and deep learning algorithms to improve our pattern detection and alert features
2. Processing, cleansing, and verifying the integrity of data used for analysis
3. Developing a solid understanding of the parameters that drive success in battery technology using machine learning techniques
4. Working and communicating effectively with an interdisciplinary team of battery experts, software engineers, and industry experts
What would interns learn in this internship?
Excellent opportunity to start from scratch and you will lead your own topics. We assure your work will directly impact the product experience.
# of Internships available: 1
Skill(s) required: Python (Learn Python), Algorithms and Machine Learning
Who can apply:
Only those candidates can apply who:
- are available for full time (in-office) internship
- can start the internship between 28th Jun'19 and 28th Jul'19
- are available for duration of 3 months
- have relevant skills and interests
Other requirements:
- Should have familiarity with one of the platforms: Python, Scikit-learn, and TensorFlow
Additional Information:
Based on your skills and interests, you will participate in
other projects: back-end, mobile app development, and web app
development. In a nutshell, you will learn and be challenged in a
startup environment where your idea will be heard and you work
impactful.
Perks:
Certificate, Letter of recommendation, Job offer, Flexible work hours, Informal dress code.
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