Senior Engineering Manager

hace 4 semanas

Madrid, España Adyen A tiempo completo

.Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.Coming off this successful year, we're looking for an experienced AI/ML Engineering Manager to lead our team in Madrid, and continue the charge. This is the perfect opportunity for passionate leaders with experience in building and leading high-performing teams that drive business impact.Leading the GenAI team, you will be responsible for the following:Inspire, lead, and energize a team of machine learning scientists and engineers. Maximize their growth and careers.Strategizing on how this new generation of technology should be applied now, and over time, across the company.Translate the strategy into a roadmap for the delivery of machine learning based products, as well as its operationalization in live flows.Lead by example on technical matters and take appropriate decisions at the technical level. As such we expect a thorough experience in the areas of machine learning, data science, and data/ML/software engineering.Work very closely with a Product Manager in order to pick the right problems, envision meaningful approaches, and ship in time.Mentor, coach, and grow team members, also into leadership positions if the opportunity arises.Withhold and evolve Adyen's culture in our Madrid tech hub.Who you areYou have experience leading technical teams in a high-performance tech environment.You see your role as an enabler for others and create an environment that makes the team deliver.You have an experimental mindset with a launch fast and iterate mentality.You have experience developing, training, validating, benchmarking, and monitoring machine learning algorithms in production flows.You have experience leveraging a big data framework to create the pipelines needed to feed the models with appropriate data.You have a good understanding of software engineering practices as well as data engineering and MLOps principles.You are able to communicate complex outcomes with clarity over a wide range of audiences.Product-oriented mindset. Experience working with product managers in delivering successful products.Technologies: Extensive knowledge of data science and statistics techniques, toolsets, and algorithms, such as e.G. Spark, Scikit-Learn, TensorFlow, PyTorch, XGBoost, Pandas, MLFlow or similar MLOps frameworks, Airflow.Knowledge of the GenAI landscape is a great plus

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