Machine Learning Engineer

Overview: An AI filmmaking tool where the image editor is compiled via Web Assembly, the front end is written with Angular, the backend is written in NestJS and the database is compiled with Atlas MongoDB. The AI backend is managed via TorchServe.

Shift time:- 6:30 PM to 3:30 AM IST /US EST

Requirements

Strong programming skills, particularly in Python.

Minimum Of 3 Years Of Experience In Machine Learning.

Proficiency in PyTorch.

Experience with database technologies, preferably Atlas MongoDB.

Familiarity with deploying ML models in a production environment.

Strong communication skills for cross-discipline collaborations.

Responsibilities

Design, train, and deploy machine learning models for Cuebrics filmmaking applications.

Deliver clean, efficient, and well-documented code.

Collaborate with cross-functional teams to integrate machine learning features into the existing system.

Perform A/B tests and validate models against key metrics.

Preferred

Familiarity with TorchServe.

Knowledge in Web Assembly, Angular, and NestJS.

Interest in filmmaking or visual storytelling.

Prior experience in a startup or agile work environment.

Knowledge of writing Rust for web.

The Opportunity

Opportunity to innovate at the crossroads of technology and creativity in the filmmaking industry.

Be part of a collaborative team with a strong passion for innovation and problem-solving.

Competitive salary and career growth opportunities.
 

Desired Skills and Experience

atlas mongoDB, Torchserve, python, NestJS, ML Models, web assembly

Employer-provided