Senior ML Ops Engineer
Nexpanse is seeking an experienced ML Ops Engineer to build ML models for our video editor.
Key Requirements:
Experience in IT product companies and working with web products is essential. Candidates with experience only in outsourcing companies will not be considered.
Responsibilities:
Optimize open-source models of various modalities: LLM, CV, Audio.
Deploy AI models to production (fastapi service in Docker in the cloud).
Calculate and improve the unit economics of ML services.
Work with high-load infrastructure to increase the reliability, performance, and scalability of data pipelines; design and develop data models.
Support innovation within the team and foster a culture of continuous learning.
Understand the overall product picture and user needs.
Requirements:
4+ years of experience working with ML models.
2+ years of experience setting up ML pipelines.
Strong understanding of different data types and methods for working with them (text, audio, video).
Knowledge of high-load optimization methods.
Ability to see opportunities instead of problems.
Ability to independently prioritize tasks.
Relevant education or equivalent industry experience.
Nice to Have:
Understanding the relationship between ML and business metrics.
Experience building efficient ML architecture.
Conditions:
100% remote work from anywhere in the world in an international company.
Competitive salary.
Opportunity for rapid career growth.
Transparent, result-oriented working system.
Assistance with relocation.
Fitness expense reimbursement.
About the Company: Nexpanse specializes in developing innovative tools for content creation using artificial intelligence. Our mission is to help everyone tell their unique story without requiring technical skills from the user. We believe that AI technology can make the content creation process accessible and enjoyable for everyone