Super Technologies
online gambling and sports betting
SeniorEngineeringManager-MachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Engineering Manager - Machine Learning at Super Technologies. Skills: Machine Learning, Data Science, Engineering Management, Python, Deep Learning Frameworks, Cloud Computing (AWS), Containerization (Docker, Kubernetes). support the development and delivery of machine learning systems. harnesses data to revolutionize the online gambling and sports betting experience”
What You'll Achieve.
enhance customer engagement, trust, and satisfaction; deliver unparalleled experiences to our players; align with business goals and objectives; timely delivery of high-quality machine learning solutions
Industry & Context.
Excellent problem-solving skills
What They're Looking For.
Must Have
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, programming skills in Python, experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX, Experience with cloud computing platforms primarily AWS, containerisation technologies (e. g. , Docker, Kubernetes), Excellent problem-solving skills, ability to work independently and collaboratively, communication and interpersonal skills
Nice to Have
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 Do.
support the development and delivery of machine learning systems
harnesses data to revolutionize the online gambling and sports betting experience
transforms complex data into actionable insights
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
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
Lead and mentor a team of 4-5 talented data scientists and ML engineers
Oversee the execution
growth and performance of the ML team
Foster a collaborative and innovative team environment while building partnerships with product management and stakeholders
How You'll Work.
Team & Collaboration
work independently and collaboratively; Coordinate with cross-functional teams; Foster a collaborative and innovative team environment; building partnerships with product management and stakeholders
Communication Scope
communication and interpersonal skills
Process & Methodology
project coordination, Manage and prioritise machine learning projects, Ensure timely delivery of high-quality machine learning solutions
Full Job Description
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. About the role We’re looking for a hands-on and motivated Senior 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 contain
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