AI Platform Engineer with Python and Terraform

Overview 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.

Responsibilities Design and implement scalable infrastructure for AI and machine learning solutions; deploy, monitor and manage ML solutions in production, optimized for performance and scalability.

Collaborate with data science teams to develop cutting-edge data science, AI / ML environments and workflows on AWS.

Work with R&D data scientists to productionize ML pipelines, models and algorithms for innovative science.

Own 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 tech stack and enable adoption of the latest Data Processing and AI advances.

Qualifications Strong software coding skills with proficiency in Python; exceptional ability in any language will be recognized.

Hands-on experience with infrastructure as code using Terraform.

Significant experience with AWS cloud environments; knowledge of SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS and ECS.

Modern DevOps mindset and tools (Docker, Git).

Experience managing an enterprise platform and handling client demand and feature requests.

Experience with containers and microservices (Kubernetes, Docker) and serverless approaches.

Experience with CI / CD pipelines (GitHub Actions, CodeBuild).

GxP experience; excellent communication, analytical and problem-solving skills.

Nice to have Experience building large-scale data processing pipelines (Hadoop / Spark, SQL).

Data science tooling (R, Python, Jupyter notebooks).

Multi-cloud experience (AWS / Azure / GCP).

Experience building MLOps environments to production standards.

Mentoring, coaching and supporting less experienced colleagues and clients.

Experience with SAFe agile practices.

We offer Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral program

Professional certification

Language courses

About EPAM 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 helped make the future real for clients. In 2018, we opened an office in Spain with offices in Málaga, Madrid and Cáceres and remote teammates. Here you will collaborate with multinational teams and have opportunities to learn and grow.

Why Join EPAM WORK AND LIFE BALANCE. Flexible work options, 24 days of annual leave and paid time off for public holidays.

CONTINUOUS LEARNING CULTURE. Career development plans, internal training, mentorship, certifications and LinkedIn courses.

CLEAR CAREER PATHS. Growth into engineering or managerial roles.

STRONG PROFESSIONAL COMMUNITY. Global EPAM community of experts.

Seniority level Mid-Senior level

Employment type Full-time

Job function Information Technology, Engineering, and Business Development

Industries Software Development and IT Services and IT Consulting

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