Lead AI Platform Engineer

Hybrid in Mexico

Cloud Native Development

Location-specific conditions & benefits*

Mexico

We are looking for an experienced and driven Lead AI Platform Engineer to join our innovative team.

In this role, you will be instrumental in designing and implementing large-scale AI/ML infrastructure to address transformative challenges in drug discovery and healthcare. This position provides a unique opportunity to build advanced platforms and systems that empower data scientists, enabling impactful healthcare solutions on a global scale.

Responsibilities

Design and maintain infrastructure and platforms to support the deployment and monitoring of machine learning solutions in production environments
Optimize systems to ensure high performance and scalability for large-scale operations
Collaborate with data science teams to create state-of-the-art AI/ML workflows and environments on AWS
Work with R&D data scientists to operationalize machine learning pipelines, models, and algorithms
Oversee all aspects of software engineering, including architecture, development, testing, and maintenance
Lead technology initiatives from conceptualization to successful project delivery
Continuously improve the technology stack by integrating the latest advancements in artificial intelligence and data processing
Manage an enterprise-level platform and service, addressing customer needs and feature requests effectively
Implement DevOps best practices and modern toolchains to enhance automation and efficiency
Scale machine learning operations (MLOps) environments to meet production standards
Ensure compliance with GxP standards when applicable

Requirements

A minimum of 5 years of experience working in AWS cloud environments, with expertise in services like SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS, and ECS
Proficiency in infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation
Strong programming expertise, particularly in Python, with consideration for other exceptional programming skills
Experience with containers, microservices architectures, and Kubernetes or Docker-based systems
Advanced knowledge of Continuous Integration and Continuous Delivery pipelines, including tools like CodePipeline, CodeBuild, or CodeDeploy
Experience managing large-scale enterprise platforms and addressing end-user needs for features and requests
Hands-on experience with DevOps practices and tools, including Docker and Git
Familiarity with GxP compliance standards
Strong analytical, communication, and problem-solving skills

Nice to have

Experience building large-scale data processing pipelines using Hadoop, Spark, or SQL
Proficiency with data science modeling tools and platforms such as R, Python, or Jupyter Notebooks
Understanding of multi-cloud environments, including AWS, Azure, and GCP
Background in mentoring and supporting colleagues or clients in a professional setting
Experience working within SAFe Agile frameworks and methodologies

We offer/Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn