AI Product Engineering Intern at Tap Electric

Physical and Engineering Science Technicians Not Elsewhere Classified

AI Product Engineering Intern

Tap Electric

Amsterdam, North Holland, Netherlands

On-Site

Entry

posted 39 days ago

View company profile

Vacancy Summary

Join Tap Electric, an innovative e-mobility startup in Amsterdam, as an AI Engineering intern. You'll gain hands-on experience working on production systems that enhance charger recognition, fraud detection, and customer service tools, impacting EV drivers directly.

Required skills

PYTHON

Pytorch

AI Tools

Innovation

Enthusiasm

Teams

API Development

Artificial Intelligence (AI)

APIs

Grid

service

Payments

SOLID

Computer Science

Computer Vision

Data Analysis

Test Solutions

Machine Learning

Scikit-learn

Tensorflow

Experimentation

Support

Applied AI

Coding

Production Systems

influence

(C)MOS

Technical background

CAN

Paving

E-Mobility

Serving

Ai engineering

MLOps

Neural Networks

Recommender Systems

Keras

JOIN

Deployment

Connecting

Product Engineering

workflows

ISAD(G)

Welcome to Tap Electric, an e-mobility startup located in the heart of Amsterdam, dedicated to connecting drivers with chargers for a seamless charging experience. Our mission is to provide an exceptional driver experience at the intersection of energy and mobility.

The Role

We are seeking an AI Engineering intern with a solid technical background and a keen interest in applied AI. At Tap, you will not just experiment with models; you will engage directly with production systems that influence our products and the experience of EV drivers.

Responsibilities

•

Enhance our charger recognition and recommendation systems.

•

Support ML-driven fraud detection and anomaly detection initiatives.

•

Develop models to predict charging session duration and energy usage, optimizing our impact on the grid.

•

Assist in building and improving AI-powered coding agents that streamline our engineering workflows, automating aspects of the development pipeline.

•

Contribute to the development of AI-powered tools that enhance customer service, addressing customer inquiries and resolving issues effectively.

•

Conduct experiments, validate results, and facilitate the transition of promising models to production through established pipelines.

•

Collaborate closely with the product and engineering teams to define challenges, test solutions, and implement improvements.

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