We are looking for an
AI Platform Engineer with expertise in Python and Terraform
to join our new Enterprise AI platform team.This is an exciting opportunity to be part of a high-impact, highly technical group focused on solving some of the most challenging machine learning problems in the Life Sciences & Healthcare industry. You will bring proven experience in AWS cloud environments and a strong track record of designing and deploying large-scale production infrastructure and platforms.You will play a key role in designing and implementing scalable infrastructure for AI and machine learning solutions. A strong command of
Python
and
Terraform
is essential, as you'll be building and automating cloud-native components, managing infrastructure as code, and integrating ML workflows into production environments.The ideal candidate for this role can be based anywhere in Spain, with a requirement of occasional travel to Barcelona to collaborate more closely with the team.Responsibilities
Develop and maintain the essential infrastructure and platform required to deploy, monitor, and manage ML solutions in production, ensuring they are optimized for performance and scalabilityCollaborate closely with data science teams in developing cutting-edge data science, AI/ML environments, and workflows on AWSLiaise with R&D data scientists to understand their challenges and work with them to help productionize ML pipelines, models, and algorithms for innovative scienceTake responsibility for all aspects of software engineering, from design to implementation, QA, and maintenanceLead technology processes from concept development to completion of project deliverablesLiaise with other teams to enhance our technological stack, enabling the adoption of the latest advances in Data Processing and AIRequirements
Strong software coding skills, with proficiency in Python;
exceptional ability in any language will be recognizedHands-on experience with infrastructure as code using TerraformSignificant experience with AWS cloud environments, including SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step functions, EKS, and ECSModern DevOps mindset, using tools such as Docker and GitExperience managing an enterprise platform and service, handling new client demands and feature requestsExperience with containers and microservice architectures, e.G., Kubernetes, Docker, and serverless approachesExperience with Continuous Integration and delivery pipelines, such as GitHub Actions and CodeBuildGxP experienceExcellent communication, analytical, and problem-solving skillsNice to have
Experience building large-scale data processing pipelines, e.G., Hadoop/Spark and SQLUse of Data Science modeling tools, e.G., R, Python, and Jupyter notebooksMulti-cloud experience (AWS/Azure/GCP)Knowledge of building MLOps environments to production standardsExperience mentoring, coaching, and supporting less experienced colleagues and clientsExperience with SAFe agile principles and practicesWe offer
Private health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage 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 across Málaga, Madrid, Cáceres, and remotely across the country. Here, you will collaborate with multinational teams, contribute to numerous innovative projects, and have opportunities for continuous learning and growth.
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