Principal Machine Learning Architect

View full description

Requirements:

• Proven experience building large-scale ML systems in production environments.
• Familiarity with tools like Flink, Spark, PyTorch, TensorFlow, or similar frameworks.
• Proficiency in not only Python, but also Java, C++, or similar languages.
• Knowledge of industry best practices for deploying, maintaining, and scaling ML systems in production.
• Experience in high-impact areas such as ad-tech, recommendation systems, personalization, search ranking, or gaming.
• Strong understanding of modern ML engineering trends and challenges, including but not limited to model monitoring, drift detection, and retraining strategies.
• Knowledge of GenAI, including LLMs, as well as the trends and challenges of building GenAI applications.
• Ability to align and lead cross-functional teams on large-scale architectural initiatives.
• Ability to provide guidance or mentor junior engineers

Responsibilities:

• Architect scalable, reliable, and low-latency (150ms) ML systems for both online and offline use cases.
• Evaluate and incorporate cutting-edge ML trends and technologies while aligning them with the company’s current architecture and goals.
• Work closely with stakeholders across engineering, product, and data science teams to align technical designs with business priorities.
• Establish and enforce best practices for maintaining consistent ML model performance in production.
• Lead large-scale initiatives, such as transitioning to next-generation architectures, and ensure alignment across diverse engineering teams.
• Provide mentorship and technical guidance to engineers to foster a culture of excellence.
• Develop a deep understanding of business and customer KPIs.
• Represent the innovation of our data science and ML in the industry.