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Chief AI Platform Engineer

Hybrid in Mexico
Cloud Native Development
& 7 others

We are looking for a highly skilled and innovative Chief AI Platform Engineer to join our team.

In this role, you will design and implement large-scale AI/ML infrastructure to address complex challenges in healthcare and drug discovery. This position provides a unique opportunity to create advanced platforms that empower data scientists to deliver impactful solutions, driving global advancements in healthcare technology.

Responsibilities
  • Design and manage infrastructure and platforms to support the deployment and monitoring of machine learning solutions in production settings
  • Enhance system scalability and optimize performance to handle the demands of large-scale operations
  • Collaborate with data science teams to develop and implement sophisticated AI/ML workflows and environments on AWS
  • Work closely with R&D data scientists to operationalize machine learning models, pipelines, and algorithms
  • Oversee the full software engineering lifecycle, including architecture, development, testing, and maintenance
  • Lead the execution of technology projects from concept development through successful delivery
  • Modernize the technology stack by integrating the latest advancements in artificial intelligence and data processing
  • Manage enterprise-level platforms and services, addressing customer requirements and feature requests efficiently
  • Implement DevOps practices and utilize modern tools to streamline workflows and enhance automation processes
  • Scale MLOps environments to production-level standards and operational requirements
  • Ensure compliance with GxP standards when applicable
Requirements
  • At least 7 years of hands-on experience working with AWS cloud services, including expertise in SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS, and ECS
  • A minimum of 1 year of experience leading and managing development teams
  • Proficiency in infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation
  • Strong programming skills in Python, with the ability to adapt to other programming languages as required
  • Experience with containerization and microservices architectures, utilizing platforms like Kubernetes or Docker
  • Comprehensive knowledge of Continuous Integration and Continuous Delivery pipelines, including tools like CodePipeline, CodeBuild, or CodeDeploy
  • Proven ability to manage large-scale enterprise platforms and address feature requests from end users
  • Hands-on experience with DevOps methodologies and tools, including Docker and Git
  • Familiarity with GxP compliance standards
  • Strong problem-solving, analytical, and communication skills
Nice to have
  • Experience designing large-scale data processing systems using technologies like Hadoop, Spark, or SQL
  • Proficiency with data science modeling tools and platforms, including R, Python, or Jupyter Notebooks
  • Understanding of multi-cloud environments, such as AWS, Azure, and GCP
  • Experience mentoring and supporting team members or clients in a professional capacity
  • Familiarity with SAFe Agile methodologies and practices
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