Data Solution Architect / AI Architect

About the role

We are seeking an innovative Data Solution Architect/AI Architect to join our expanding team. In this role, you'll play a vital part in crafting solutions that meet diverse requirements and needs. Collaborating closely with teams of data scientists and machine learning engineers, you'll be at the center of driving innovation. Your expertise will be instrumental in enhancing the design of AI systems, spanning classical ML and LLMs, on the AWS platform. You'll contribute to the development of new solutions, including data enrichment pipelines and robust building blocks for training, evaluating, and deploying large language models. Join us on this exciting journey! This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda. #LI-DNI #February-Referral-Digest-KZ #top-vacancies-10-KZ #top-vacancies-10-KZ-dec #top-vacancies-10-KZ-jan-25 #top-vacancies-10-KZ-feb-25 #LI-HK1 Technologies AWS (Amazon Web Services) Artificial intelligence ML Architecture Responsibilities Create an architecture for utilizing and publishing data within the data mesh Develop a strategy to identify the specific machine learning tools, models and training sets to construct Collaborate with the AI labs, data, infrastructure and platform teams to implement ML-based services using AWS SageMaker Analyze the existing AWS account configuration for data scientists and MLEs, working closely with StSt MLE and DevOps experts Assess current AI pipelines and their integration with other services Design and build infrastructure to facilitate the experimentation and deployment of AI systems Cooperate with the AI Labs team to enhance current ML workflows and software development standards Requirements Hands-on production experience as a Data Architect with a production background in design or development Industry knowledge in AWS ML services, including AWS SageMaker Qualifications in DevOps, Cloud Operations and ML engineering Skills in AWS administration and permission management Expertise with building enterprise scale ML and LLM solutions High proficiency with Docker, IaC (Terraform) and CI/CD (Atlassian Bamboo) Ability to build and use model management tools such as MLflow Understanding of MLOps B2+ English level, both written and spoken Nice to have Competency in setting up and managing vector databases Showcase of deploying LLMs at scale Familiarity with Kafka We offer We connect like-minded people: : Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth: : Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to LinkedIn Learning and Get Abstract Free English classes with certified teachers Discounts in local language schools, including online courses for the Kazakh language We cover it all: : Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Medical & family care package Six trust days per year (sick leave without a medical certificate) Coverage of psychology sessions of your choice Benefits package (sports activities, a variety of stores and services) EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.

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