Remoto: Teletrabajo
We are looking for a Machine Learning Engineer - Team Lead who can lead the work on the productization, deployment, and maintenance of ML algorithms (e.g.
computer vision, NLP, recommendation systems) to join our expanding Machine Learning function.
Key ResponsibilitiesManage a team of Machine Learning Engineers responsible for the productization of prototypes developed by data scientists.Oversee technical decisions of machine learning methods, technologies and engineering best practices.Collaborate with data scientists, product managers, software engineers and data engineers to design scalable state-of-the-art infrastructure to serve machine learning models in production.Research and adopt the best MLOps standards to design and develop scalable end-to-end machine learning pipelines.Identify opportunities for machine learning process automation.Establish and enforce best practices (e.g.
in development, quality assurance, optimization, release, and monitoring).RequirementsPrevious experience working in a similar role.Ability to implement Agile Frameworks (Scrum, Kanban).Strong proficiency in Python (and relevant ML-related libraries such as PyTorch, JAX, TensorFlow) with experience writing production-grade code and maintaining production-grade web services.Experience with machine learning model development and deployment.Experience with MLOps frameworks and building machine learning pipelines.Experience with containerization technology (Docker/Kubernetes).Experience with a Cloud Platform (e.g.
Azure, AWS, GCP).BenefitsWith more than 50 nationalities represented in our global team, you will work regularly with teammates in other countries, and with our community of researchers, editors, and authors from around the globe.
Our mission to create solutions for healthy lives also extends to the working environment we provide for our employees.
This includes:
100% remote working: Employees now have the flexibility to choose where they want to work, with remote working available on a part- or full-time basis.Learning & Development: All employees have access to LinkedIn Learning (and Pluralsight for our technology team), an annual personal learning budget, and dedicated L&D time.Wellbeing: We offer free online yoga classes, an employee assistance plan, access to the Headspace app, and four wellbeing days on top of your annual leave allowance.Volunteering opportunities: Employees can dedicate three days each year to volunteer for a personal cause or through our volunteering partner platform, Alaya.El anuncio original lo puedes encontrar en Kit Empleo:
https://www.kitempleo.es/empleo/131170843/machine-learning-engineer-team-lead-e-359-madrid/?utm_source=html
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