We are seeking a highly skilled and motivated Lead AI Platform Engineer to join our cutting-edge team.
You will play a critical role in designing and deploying large-scale AI/ML infrastructure to solve transformative challenges in drug discovery and healthcare. This position offers the opportunity to develop state-of-the-art platforms and systems that empower data scientists, advancing global healthcare solutions and impacting millions of lives.
RESPONSIBILITIES
- Provide a robust infrastructure and platform to support the deployment and monitoring of machine learning solutions in production
- Optimize solutions to ensure performance and scalability for large-scale systems
- Collaborate with data science teams to develop cutting-edge AI/ML environments and workflows on AWS
- Partner with R&D data scientists to productionize machine learning pipelines, models, and algorithms
- Take ownership of all aspects of software engineering, including design, implementation, testing, and ongoing maintenance
- Lead technology processes from concept development through to the successful delivery of projects
- Enhance the technological stack to incorporate the latest advancements in data processing and artificial intelligence
- Manage an enterprise-level platform and service, effectively addressing customer demands and feature requests
- Introduce DevOps best practices and modern toolchains, driving automation and efficiency
- Scale machine learning operations (MLOps) environments to production-grade standards
- Ensure adherence to GxP standards where applicable
REQUIREMENTS
- 5+ years of experience working with AWS cloud environments, including expertise in services like SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS, and ECS
- Proficiency with infrastructure-as-code technologies such as Terraform, Ansible, or CloudFormation
- Strong programming skills, particularly in Python, but other exceptional programming abilities will also be considered
- Experience with containers, microservices architectures, and Kubernetes or Docker-based systems
- Advanced understanding of Continuous Integration and Continuous Delivery pipelines, such as CodePipeline, CodeBuild, or CodeDeploy
- Background in managing large-scale enterprise platforms and handling end-user interactions for new features and requests
- Practical knowledge of DevOps practices and tools like Docker and Git
- Familiarity with GxP compliance standards
- Strong analytical, communication, and problem-solving abilities
NICE TO HAVE
- Expertise in building large-scale data processing pipelines using technologies like Hadoop, Spark, or SQL
- Skills in data science modeling tools and environments, e.g., R, Python, or Jupyter Notebooks
- Familiarity with multi-cloud environments (e.g., AWS, Azure, and GCP)
- Background in mentoring and supporting less experienced colleagues or clients in a professional setting
- Experience applying SAFe Agile principles and practices
WE OFFER
- Career plan and real growth opportunities
- Unlimited access to LinkedIn learning solutions
- International Mobility Plan within 25 countries
- Constant training, mentoring, online corporate courses, eLearning and more
- English classes with a certified teacher
- Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
- Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
- Flexible work schedule and dress code
- Collaborate in a multicultural environment and share best practices from around the globe
- Hired directly by EPAM & 100% under payroll
- Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
- Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
- 13 % employee savings fund, capped to the law limit
- Grocery coupons
- 30 days December bonus
- Employee Stock Purchase Plan
- 12 vacations days plus 4 floating days
- Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
- Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more