Connecting Odds
EPAM Systems

Data Solution Architect / AI Architect

EPAM Systems
Rockaway, NJPosted Discovered via the company's careers siteMatch locked
RemoteData and Analytics

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! Unlock the potential of remote work in Kyrgyzstan, giving you the flexibility to work from home or access our office in Bishkek. #LI-DNI

#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

•

We cover it all

: • 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
  • Discounts for fitness clubs and sports programs
  • Benefits package (sports activities, a variety of stores and services)

EPAM Kyrgyzstan is a team of technologists and innovators united by a passion for technology. In 2022, we opened our first office in Bishkek that works with the world's leading companies across many different industries. EPAM builds a continuously learning organization and helps its employees reach their full potential and achieve their professional goals through learning. Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.

Not included in the source posting: about the role.

Skills

awsmachine-learningartificial-intelligencellmagileazuredevopsgcpkafkaci-cddockermlops

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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