About the role

We’re looking for a hands-on and motivated Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. By combining cutting-edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real-time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. By leveraging machine learning to create smarter systems and deeper customer understanding, the team plays a pivotal role in shaping the future of the company, fostering a data-driven culture, and ensuring we deliver unparalleled experiences to our players.

In this role, you’ll split your time between technical contribution, project coordination, and people management — helping your team succeed while staying close to the code.

We’re looking for someone who has: 

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field

  Proven experience (4+ years) in machine learning and data science roles

  Proven experience (2+ years) leading/managing engineering teams, supporting the growth and performance of engineers

  Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

  Experience with cloud computing platforms primarily AWS and containerisation technologies (e.g., Docker, Kubernetes)

  Excellent problem-solving skills and the ability to work independently and collaboratively

  Strong communication and interpersonal skills

Preferred qualifications:

• Experience in the gaming or entertainment industry

  Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc

  Contributions to open-source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle)

  Experience with training and fine-tuning large-scale foundation models (e.g., GPT, BERT, T5) for various tasks

  Publications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR

What you’ll be doing: 

• Technical Expertise:

  Design, develop, and deploy advanced machine learning models to solve complex business problems

  Stay updated with the latest trends and advancements in machine learning and AI technologies

  Conduct code reviews and ensure best practices in model development and deployment

  Project Management:

  Manage and prioritise machine learning projects to align with business goals and objectives

  Ensure timely delivery of high-quality machine learning solutions

  Coordinate with cross-functional teams to integrate machine learning models into production systems

  People Management:

  Lead and mentor a team of 4-5 talented data scientists and ML engineers, providing guidance and support in their day-to-day activities

  Oversee the execution, development, growth and performance of the ML team

  Foster a collaborative and innovative team environment while building strong partnerships with product management and stakeholders