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 an expectation of working from the Barcelona office two days per week.
Responsibilities
1. 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.
2. Collaborate closely with data science teams in developing cutting-edge data science, AI/ML environments, and workflows on AWS.
3. 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.
4. Take responsibility for all aspects of software engineering, from design to implementation, QA, and maintenance.
5. Lead technology processes from concept development to completion of project deliverables.
6. Liaise with other teams to enhance our technological stack, enabling the adoption of the latest advances in Data Processing and AI.
Requirements
1. 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.
2. Modern DevOps mindset, using best DevOps tools, such as Docker and Git.
3. Experience with infrastructure as code technology such as Ansible, Terraform, and CloudFormation.
4. Strong software coding skills, with proficiency in Python; exceptional ability in any language will be recognized.
5. Experience managing an enterprise platform and service, handling new client demand and feature requests.
6. Experience with containers and microservice architectures e.g., Kubernetes, Docker, and serverless approaches.
7. Experience with Continuous Integration and building continuous delivery pipelines, such as CodePipeline, CodeBuild, and CodeDeploy.
8. GxP experience.
9. Excellent communication, analytical, and problem-solving skills.
Nice to have
1. Experience building large-scale data processing pipelines, e.g., Hadoop/Spark and SQL.
2. Use of Data Science modelling tools e.g., R, Python, and Data Science notebooks (e.g., Jupyter).
3. Multi-cloud experience (AWS/Azure/GCP).
4. Demonstrable knowledge of building MLOps environments to a production standard.
5. Experience mentoring, coaching, and supporting less experienced colleagues and clients.
6. Experience with SAFe agile principles and practices.
We offer
1. Private health insurance.
2. EPAM Employees Stock Purchase Plan.
3. 100% paid sick leave.
4. Referral Program.
5. Professional certification.
6. Language courses.
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, 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 and Madrid 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 directions to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
* STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise, and make friends.
#J-18808-Ljbffr