AI Platform Engineer

EPAM Systems — Barcelona, ES
Published on

About the Role

We are looking for an AI Platform Engineer 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 critical role in shaping how we use technology, machine learning, and data to accelerate innovation. This includes more than just designing and deploying next-generation data engines and tools at scale.

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 scalability.
  • Collaborate closely with data science teams in developing cutting edge data science, AI/ML environments and workflows on AWS.
  • Liaise with R&D data scientists to understand their challenges and work with them to help productionize ML pipelines, models, and algorithms for innovative science.
  • Take responsibility for all aspects of software engineering, from design to implementation, QA, and maintenance.
  • Lead technology processes from concept development to completion of project deliverables, and liaise with other teams to enhance our technological stack to enable the adoption of the latest advances in Data Processing and AI.

About the Candidate

Requirements:

  • Significant experience with AWS cloud environments. Knowledge of SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step functions, EKS, and ECS is essential.
  • Possess a modern DevOps mindset, using best DevOps tools, such as Docker and Git.
  • Experience with infrastructure as code technologies such as Ansible, Terraform, and Cloud Formation.
  • Strong software coding skills, with proficiency in Python, although exceptional ability in any language will be recognized.
  • Experience managing an enterprise platform and service, handling new client demand and feature requests.
  • Familiarity with containers and microservice architectures e.g., Kubernetes, Docker, and serverless approaches.
  • A history of building continuous delivery pipelines, such as CodePipeline, CodeBuild, and Code Deploy, and experience with GxP.
  • Excellent communication, analytical, and problem-solving skills are necessary.

Nice to Have:

  • Experience building large-scale data processing pipelines, e.g., Hadoop/Spark and SQL.
  • Use of Data Science modelling tools like R, Python, and Data Science notebooks (e.g., Jupyter).
  • Multi-cloud experience (AWS/Azure/GCP) is preferred.
  • Proven knowledge of building MLOps environments to a production standard.
  • Experience mentoring and supporting less experienced colleagues and clients.
  • Familiarity with SAFe agile principles and practices is also a plus.

About the Company

EPAM is a leading digital transformation services and product engineering company with over 52,650 EPAMers in more than 55 countries and regions. Since 1993, we've been helping make the future real for our clients and communities around the world. In 2018, we established an office in Spain that rapidly expanded to more than 1,450 EPAMers distributed across our Málaga and Madrid offices and remotely throughout the country. At EPAM, you will collaborate with multinational teams, contribute to numerous innovative projects, and constantly have opportunities to learn and grow.

Company Culture and Benefits

  • Work and Life Balance: Enjoy 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. You can take advantage of internal training, mentorship, sponsored certifications, and LinkedIn courses.
  • Clear and Different Career Paths: Opportunities are available to advance in engineering or managerial directions, like becoming a People Manager or a Solution Architect.
  • Strong Professional Community: Join a global EPAM community of skilled experts, connect to solve challenges, exchange ideas, share expertise, and make friends.
← All jobsApply