Senior ML Engineer
Senior ML Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Additional Information :
Your Role
As a senior ML engineer you will perform a wide range of machine learning and data science tasks including:
Develop new ML algorithms: Use advanced ML algorithms and techniques to maximize our predictive capacity
Architecting models: design models to solve complex real-time problems
Quick iteration on Model Development: Quickly test and verify new ideas and be able to come up with new ideas when they fail
Data exploration and analysis: perform in-depth analysis of our data to contextualize the machine learning
Design and documentation: perform detailed technical design for new products/features and documentation of architecture and code.
SDLC: be an active part of the development lifecycle. Collaborate with team members perform code reviews and improve CI/CD process.
Security Quality and Maintainability: ability to look at current codebase and understand measures beyond the functional requirements that produce a highly polished product.
Must Have Skills
Foundational knowledge of machine learning techniques and concepts
5 years of developing machine learning algorithms and architecting models
Ability to design models and algorithms for different production environments (edge devices cloud CPU GPU etc.)
Fluent in Python and SQL
Deep understanding of common ML APIs/Frameworks: pytorch tensorflow scikit
Knowledge of data orchestration tools such (airflow cosmos dagster etc.)
Nice-to-have-skills:
Knowledge of MLOps building on AWS
Data Engineering and database management
Familiarity with Docker and containerization
Experience with sensor data preferably eye-tracking
C and C#
Experience with Generative AI (LLMs MCP Agential orchestration)
This position reports directly to the Chief Product Officer. If you have a passion for learning
and applying new software patterns and technology to solve problems please apply. The
ideal candidate should be a technologist and life-long student.
Please apply with:
1. Resume
2. GitHub profile/portfolio
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
