Descripción de la oferta
# Principal ML Ops Engineer Spain or Remote## Principal ML Ops Engineer DescriptionWe are looking foran ML **Ops engineer**to join ourEnterpriseAI Products and Technology Team.The ideal candidate will haveindustry-relevantexperiencedeliveringatscaleMachine Learningor Data Science projects.You will be part of a collaborative team of multidisciplinary engineers and working closely with data science teams, have a chance to create tools, standards and automate commonly used tasks of the machine learning product lifecycle. A part of the role is also to increase the capabilities of the platforms team to better suit the data scientist’s ways of working. Our data scienceteamsundertake major AI initiatives such as clinical trial data analysis, knowledge graphanalytics, patient safety systems, deep learning led medication discovery and software as a medical devicesystem.As anML Ops engineer, you have a software engineering mindset towards automation and agility while being able to question and improve the ways of working of data science teams.**This is a hybrid role, with the expectation of occasional office visits in Barcelona.**Haga clic en "Solicitar" a continuación para enviar su candidatura. Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto.**#LI-DNI****#REF\_ES\_DBAITRM**### Responsibilities* CollaboratewithDataScientistsand Machine Learning Engineersfrom across the company to understand their challenges and work with them tobuildthe tools/platforms that underpin theirresearch* Beapart ofahigh-performingagile team,continuously improvingour client’sMachine Learningdevelopment environments, platforms and toolingto better suit data science initiatives* Work closely and collaboratively with internal governance and compliance functions, such as Cyber Security and Data Privacy, to secure our estate without obstructing end-user productivity* Adapt standard machine learning methods to best exploit modern parallel environments (e.g.distributed clusters, multicore SMP and GPU)* Championa “productionfirstmindset”in the data science projects development lifecycle to seamlessly scale exploratoryresearch to production### Requirements* BSc/MSc/Ph.Ddegree in Computer Science or related quantitativeor analyticalfield* 3yearsor moreof experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered* Demonstrable experience in software engineering and automation leveraging DevOps* Prior experience with developing and deploying production-grade machine learning products or exceptional ability in other software engineering domains will be considered* In-depth knowledge and experience with at least one container orchestration framework (Airflow, Argo, Kubeflow, etc) or willingness to learn* Demonstrable experience deploying the underlying infrastructure and tooling for running Machine Learning or Data Science at scaleusing Infrastructure as Code* ExperienceworkinginanAgileteam* Experience working withinternalsecuritystandards andframeworks### We offer* Private health insurance* EPAM Employees Stock Purchase Plan* 100% paid sick leave* Referral Program* Professional certification* Language coursesEPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.* **Why Join EPAM*** **WORK AND LIFE BALANCE.** Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.* **CONTINUOUS LEARNING CULTURE.** Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.* **CLEAR AND DIFFERENT CAREER PATHS.** Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.* **STRONG PROFESSIONAL COMMUNITY. xcskxlj ** Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.Principal ML Ops Engineer**Spain***Location*United States*Location*#J-18808-Ljbffr
