Machine Learning Engineer - Student Position

Description

Prisma Photonics, a fast-growing startup, transforms infrastructure monitoring with optical fibers. We eliminate the need for extra sensors by offering sensor-free solutions to monitor electrical power grids and oil & gas pipelines across thousands of kilometers.

Our fiber-sensing technology, integrated with AI and machine learning, enables our customers to achieve environmental and renewable energy targets, ensuring smooth utility operations on their path to net-zero emissions.

We are looking for the best minds and spirits to join us in our journey. We know our product is only as great as the individuals building the hardware and software and harnessing data for good causes. Being a great team member means being eager to learn and grow, able to challenge while accepting being challenged, and working for the team and the product with enthusiasm and passion.

We are now hiring a best-in-class, highly motivated student to join our Machine Learning team and take part in tackling unique real-world challenges.

Responsibilities:

●  Interact with complex of real-world physical data from different types (spatio-temporal, geo-data, sensors)

●   Develop Tools for data processing, analysis, and visualization.

●  Evaluate and analyze model performance.

●   Work in a dynamic environment of short life cycle research and development.

Requirements

●  Bachelor's degree student (Computer Science, EE, Physics, etc).

●  Motivated, eager to tackle challenges with a "can do attitude".

●  Strong Python programming skills.

●  Excellent communication and teamwork skills.

●  Strong Data analysis and Presentation skills.

●  Experience with Data Science Theory and some Hands-on Model Development.

●  Experience with ML and numerical libraries (NumPy, Pandas, Scikit-learn, Pytorch, etc.)

Advantage:

●  Familiarity working with ML pipelines and experiment management tools.

●  Experience working and collaborating in a software development environment.