Description

You will deploy and scale customer-facing algorithms within the Data Science team.

This role is on-site.

Responsibilities

• Optimize algorithms for production and develop transportable, customizable SDKs.
• Build SDKs to enable rapid prototyping and deployment of machine learning models.
• Automate and orchestrate advanced split tests for model performance evaluation.
• Refine the codebase and implement best development processes for scalability.
• Identify technical constraints and strengths for various algorithm options.

Required Skills

• 5+ years of experience in machine learning or related fields.
• Expertise in Python and PySpark for data processing.
• Proficiency in distributed computing with Spark.
• Experience with DevOps best practices and containerization.
• Proven experience productionizing collaborative filtering, matrix factorization, and ranking algorithms.
• Knowledge of advanced regression, classification, clustering, and time series algorithms.
• Experience with automated hyperparameter tuning and model selection.
• Deep learning at scale for NLP and advanced search concepts.
• Ability to build large-scale machine learning infrastructure.

Preferred Skills

• Researching efficient processes for machine learning frameworks.
• Building data representation methods for front end systems.

Key Skills

Education

Any Graduate