AI Platform Engineer

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 designing, building and deploying next-generation data engines and tools at scale.

This is a hybrid role, with the expectation of occasional office visits in Barcelona.

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
• Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI

REQUIREMENTS

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

NICE TO HAVE

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

WE OFFER

• Private health insurance
• EPAM Employees Stock Purchase Plan
• 100% paid sick leave
• Referral Program
• Professional certification
• Language courses