Senior Engineering Manager - Machine Learning
Core
Lead a team of data scientists and ML engineers to build and deploy machine learning systems for predictive analytics, personalization, fraud detection, and real-time recommendations in the online gambling and sports betting domain.
Role type
Senior Engineering Manager (Applied Machine Learning & Research)
Builds
Production ML models and data-driven features for customer engagement and trust
Domain
Online gambling, sports betting, and real-time data analytics
Deliverable
production ML models
Required skills
Python, deep learning frameworks (TensorFlow, PyTorch, JAX), cloud computing (AWS), containerization (Docker, Kubernetes), team leadership, project management, model deployment
Preferred skills
Experience with Spark, Snowflake, Qwak, MLflow, Airflow, large-scale foundation model training (GPT, BERT, T5), open-source AI/ML contributions, publications in top AI conferences
Technologies
TensorFlow, PyTorch, JAX, AWS, Docker, Kubernetes, Spark, Snowflake, Qwak, MLflow, Airflow
Responsibilities
Design and deploy advanced ML models, manage and prioritize ML projects, lead and mentor a team of 4–5 data scientists and ML engineers, coordinate with cross-functional teams for production integration
Seniority
Senior, hands-on IC with people management