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Lead AI Platform Engineer

Hybrid in Mexico
Cloud Native Development
& 7 others
Mexico

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

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

Responsibilities
  • Develop and manage infrastructure and platforms to facilitate the deployment and monitoring of machine learning solutions in production environments
  • Improve system performance and scalability to support 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 operationalize machine learning algorithms, pipelines, and models
  • Oversee the entire software engineering lifecycle, from architecture and development to testing and maintenance
  • Lead the execution of technology initiatives, from concept to successful implementation
  • Upgrade the existing technology stack by integrating the latest advancements in AI and data processing
  • Oversee an enterprise-level platform and service, addressing customer requirements and feature requests
  • Adopt DevOps practices and modern tools to enhance automation and streamline processes
  • Scale MLOps environments to meet production-grade standards
  • Ensure systems comply with GxP standards when required
Requirements
  • At least 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 skills, particularly in Python, with openness to other programming expertise
  • Experience with containerization and microservices architectures, using platforms like Kubernetes or Docker
  • In-depth knowledge of Continuous Integration and Continuous Delivery pipelines, using tools like CodePipeline, CodeBuild, or CodeDeploy
  • Proven success managing large-scale enterprise platforms and addressing feature requests from end users
  • Hands-on experience with DevOps tools and practices, including Docker and Git
  • Familiarity with GxP compliance standards
  • Strong problem-solving, communication, and analytical skills
Nice to have
  • Experience building large-scale data processing systems with technologies such as Hadoop, Spark, or SQL
  • Proficiency in data science modeling tools and environments, including R, Python, or Jupyter Notebooks
  • Knowledge of multi-cloud platforms, such as AWS, Azure, and GCP
  • Experience mentoring and guiding team members or clients in a professional capacity
  • Familiarity with SAFe Agile methodologies and frameworks
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