Create, develop, and improve machine learning models to enhance business performance and product effectiveness

Collaborate closely with cross-functional teams, including Product Managers, Analysts, and Engineers, to deliver innovative ML-driven features and improvements

Apply expertise in machine learning algorithms, data structures, and optimization techniques to improve model accuracy, scalability, and efficiency

Implement and maintain MLOps best practices for model deployment, monitoring, retraining, and maintenance in production environments

Investigate, troubleshoot, and resolve technical issues related to machine learning models, data pipelines, and infrastructure

Stay up to date with the latest advancements, technologies, and best practices in machine learning, artificial intelligence, and data science

4+ of Machine learning and deep learning on tabular data, Recommendation systems. 

4+ years of software development experience in Python with experience working with ML and DL

Experience in designing a data science roadmap and the leading technical execution of the project

Experience with Cloud development AWS/GCP

Experience of deploy API models on Dev/Prod environment

Practical understanding of A/B tests process

Practical understanding of the mathematics behind modern machine learning, linear algebra, and statistics.

Extensive SQL knowledge

Intro call

Technical Interview

Final Interview

Reference check

Offer