Machine Learning Engineering Team Lead (AI)

TL;DR

Machine Learning Engineering Team Lead (AI): Leading the technical decisions and execution roadmap for an AI Platform team focused on enhancing productivity and efficiency by providing high-quality tools and automations. Focus on designing the team’s roadmap, implementing complex parts of the platform, and establishing best practices for software and ML product development.

Location: Remote

Company

hirify.global, powering Betano, is one of the biggest GameTech companies globally, operating in 19 markets and leveraging cutting-edge AI algorithms to continuously improve its products and business.

What you will do

• Lead the technical decisions for the ML Platform team and design its roadmap.
• Work closely with the Agile Delivery Lead to optimize team efficiency and stakeholder communication.
• Implement some of the most complex parts of the platform.
• Work closely with tech leaders to establish best practices for software and ML product development and drive technical excellence.
• Enable direct reports' personal growth through personalized development plans.
• Define your team’s hiring needs and be part of the recruitment process across the AI department.

Requirements

• Demonstrated experience in leading cross-functional teams and in people management.
• Deep understanding of the ML project lifecycle.
• Solid hands-on experience in Python.
• Solid hands-on experience with MLOps concepts, tools, and frameworks.
• Solid software background in Object-Oriented Programming (OOP).
• Knowledge of version control tools and software development processes.
• Understanding of Machine Learning algorithms.

Nice to have

• Understanding of Spark and Spark Structured Streaming.
• Experience with Azure / Databricks, Azure DevOps.
• Knowledge of SQL.

Culture & Benefits

• Be part of a diverse team of more than 2,700 Kaizeners from 40+ nationalities.
• Proud to be among the Best Workplaces in Europe and certified Great Place to Work.
• Opportunity to work with Data Scientists, Machine Learning Engineers, Data Engineers, Data Analysts, Product Owners, and Agile Delivery Leads.
• Focus on self-driven and cross-functional teams.
• Commitment to direct reports’ personal growth and team health and well-being.