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Lead AI Platform Engineer

Hybrid in Mexico
Cloud Native Development
& 7 others
Mexico

We are seeking a talented and motivated Lead AI Platform Engineer to join our team.

In this position, you will be responsible for designing and building large-scale AI/ML infrastructure to address complex challenges in healthcare and drug discovery. This role offers a unique opportunity to develop advanced platforms that empower data scientists to create impactful solutions, driving innovation in global healthcare.

Responsibilities
  • Develop and manage infrastructure and platforms to support the deployment and monitoring of machine learning solutions in production settings
  • Optimize system scalability and performance to handle the demands of large-scale operations
  • Collaborate with data science teams to create and implement AI/ML workflows and environments on AWS
  • Work closely with R&D data scientists to productionize machine learning models, algorithms, and pipelines
  • Oversee the complete software engineering lifecycle, including design, development, testing, and maintenance
  • Lead technology initiatives from initial concept through successful delivery and implementation
  • Upgrade the existing technology stack by incorporating advancements in artificial intelligence and data processing
  • Manage an enterprise platform and service, effectively addressing customer needs and feature requests
  • Implement DevOps practices and utilize modern tools to improve efficiency and automation processes
  • Scale MLOps environments to meet production-grade standards
  • Ensure systems adhere to GxP compliance standards when required
Requirements
  • At least 5 years of experience working in AWS cloud environments, with expertise in services such as SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS, and ECS
  • Proficiency in infrastructure-as-code tools like Terraform, Ansible, or CloudFormation
  • Strong programming skills in Python, with flexibility to work with other programming languages
  • Experience with containerization and microservices architectures, using platforms like Kubernetes or Docker
  • Extensive knowledge of Continuous Integration and Continuous Delivery pipelines, including tools such as CodePipeline, CodeBuild, or CodeDeploy
  • Proven track record of managing large-scale enterprise platforms and addressing end-user feature needs
  • Hands-on experience with DevOps tools and practices, including Docker and Git
  • Awareness of GxP compliance standards
  • Strong problem-solving, analytical, and communication skills
Nice to have
  • Experience building large-scale data processing pipelines using technologies such as Hadoop, Spark, or SQL
  • Proficiency with data science modeling tools and platforms, including R, Python, or Jupyter Notebooks
  • Knowledge of multi-cloud environments, such as AWS, Azure, and GCP
  • Experience mentoring and guiding team members or clients in a professional capacity
  • Familiarity with SAFe Agile methodologies and processes
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