Lead Machine Learning Engineer

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We are in search of a Lead Machine Learning Engineer to direct the design, implementation, and optimization of ML-based systems that intelligently recommend user-generated content, aiming to boost engagement. This role involves leading the development of robust machine learning pipelines and overseeing high-performance deployments suited for real-time data environments.

Overview

We are in search of a Lead Machine Learning Engineer to direct the design, implementation, and optimization of ML-based systems that intelligently recommend user-generated content, aiming to boost engagement. This role involves leading the development of robust machine learning pipelines and overseeing high-performance deployments suited for real-time data environments.

Responsibilities

• Lead the design and execution of scalable, high-performance machine learning pipelines for online and offline feature engineering
• Drive the development and tuning of advanced machine learning models, primarily utilizing Python and TensorFlow
• Optimize and manage the deployment of inference pipelines tailored for real-time, low-latency applications such as player telemetry
• Guide and standardize machine learning workflow management processes using MLflow across the team
• Supervise and expand data integration pipelines via ETL / ELT processes on Databricks
• Ensure reliability, debugging, and continuous performance tuning of production-grade ML systems
• Establish scalable and automated methodologies for feature engineering and durable model deployments
• Collaborate effectively with senior stakeholders to align machine learning solutions with organizational objectives
• Strategize effective utilization of Databricks for efficient dataset management and computational workflows
• Set and uphold industry-leading best practices for scalable, maintainable, and efficient ML systems

Requirements

Nice to have

We offer

Details

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