ph3About the Role /h3 pWe’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. The team harnesses data to revolutionize the online gambling and sports‑betting experience, transforming complex data into actionable insights that enhance customer engagement, trust, and satisfaction. In this role you will split your time between technical contribution, project coordination, and people management – helping your team succeed while staying close to the code. /p h3Qualifications /h3 ul liMaster’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field /li liProven experience (4 + years) in machine‑learning and data‑science roles /li liProven experience (5 + years) in leading or managing engineering teams, supporting the growth and performance of engineers /li liStrong programming skills in Python and experience with deep‑learning frameworks such as TensorFlow, PyTorch, or JAX /li liExperience with cloud computing platforms primarily AWS and containerisation technologies (e.g., Docker, Kubernetes) /li liExcellent problem‑solving skills and the ability to work independently and collaboratively /li liStrong communication and interpersonal skills /li /ul h3Preferred Qualifications /h3 ul liExperience in the gaming or entertainment industry /li liExperience with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc.



/li liContributions to open‑source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle) /li liExperience with training and fine‑tuning large‑scale foundation models (e.g., GPT, BERT, T5) for various tasks /li liPublications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR /li /ul h3Responsibilities /h3 ul libTechnical Expertise /b ul liDesign, develop, and deploy advanced machine‑learning models to solve complex business problems /li liStay updated with the latest trends and advancements in machine‑learning and AI technologies /li liConduct code reviews and ensure best practices in model development and deployment /li /ul /li libProject Management /b ul liManage and prioritise machine‑learning projects to align with business goals and objectives /li liEnsure timely delivery of high‑quality machine‑learning solutions /li liCoordinate with cross‑functional teams to integrate machine‑learning models into production systems /li /ul /li libPeople Management /b ul liLead and mentor a team of 4‑5 data scientists and ML engineers, providing guidance and support in their day‑to‑day activities /li liOversee the execution, development, growth, and performance of the ML team /li liFoster a collaborative and innovative team environment while building strong partnerships with product management and stakeholders /li /ul /li /ul h3Equal Opportunity Diversity /h3 pWe hire and grow talent based on ability and potential, regardless of background and identity because we believe diverse perspectives drive better performance. /p /p #J-18808-Ljbffr

📌 Senior Engineering Manager - Machine Learning (Madrid)
🏢 Super
📍 Madrid