AI Platform Engineer with Python and Terraform

EPAM Systems; Donostia/San Sebastián; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading digital transformation company in Spain seeks an AI Platform Engineer to develop and maintain scalable infrastructure for AI and machine learning solutions. Required skills include expertise in Python, Terraform, and AWS cloud environments. The role involves collaborating with data scientists and enhancing technological stacks. This position offers a chance for significant professional growth and includes competitive perks such as private health insurance and a flexible work-life balance.

Servicios

Private health insurance

Stock purchase plan

100% paid sick leave

Professional certification

Language courses

Formación

• Strong software coding skills, especially in Python.
• Hands-on experience with infrastructure as code using Terraform.
• Experience with AWS cloud environments is essential.
• Modern DevOps mindset with best tools (Docker, Git).
• Excellent communication and problem-solving skills.

Responsabilidades

• Develop and maintain AI infrastructure and platform.
• Collaborate with data science teams for AI workflows.
• Understand R&D challenges to productionize ML models.
• Lead technology processes from concept to delivery.
• Enhance technological stack for Data Processing and AI.

Conocimientos

Proficiency in Python

Experience with Terraform

AWS Cloud Experience

DevOps practices (Docker, Git)

CI/CD practices

Excellent communication skills

Herramientas

AWS (SageMaker, S3, etc.)

Docker

Kubernetes

Descripción del empleo

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 theLife 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 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

• Strong software coding skills, with proficiency in Python, however exceptional ability in any language, will be recognized
• Hands-on experience with infrastructure as code using Terraform
• 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 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 GitHub Actions and CodeBuild
• 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
  
  
  

EPAM 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. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.