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epam is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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
* 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
seniority level
* seniority level
mid-senior level
employment type
* employment type
full-time
job function
* job function
information technology, engineering, and business development
* industries
software development, it services and it consulting, and pharmaceutical manufacturing
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