Data scientist for AI solutions

EPAM; United States; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Гибридный формат работы

Обучение и доступ к внутренней базе

Оплата курсов/сертификации

Медицинское страхование

Stock Purchase Plan

Job summary

EPAM ищет инженера AI для разработки и внедрения AI-агентов и аналитических сервисов. В задачи входит интеграция агентов с данными и корпоративными API, создание компонентов оркестрации, а также построение интерфейсов и дашбордов на Python и React/JS. Требуется опыт в продакшене и знание ETL/ELT, SQL и Power BI.

Кандидат будет работать над моделями и решениями в облаке/гибридной инфраструктуре, сотрудничать с внутренними командами и обеспечивать поддержку внедрений и CI/CD процессов.

Qualifications

• Опыт разработки AI/Data решений в продакшене.
• Свободное владение Python и React/JS/TS.
• Умение работать с SQL на реляционных и аналитических БД.
• Опыт построения REST API, Git и современных практик разработки.
• Понимание Data warehousing/ETL/ELT и моделирования Power BI.
• Английский на уровне B2+.

Responsibilities

• Разрабатывать AI-агентов на современных LLM-фреймворках для аналитических помощников, автоматизации и поддержки решений.
• Интегрировать AI-агентов с источниками данных, API и корпоративными приложениями.
• Разрабатывать и поддерживать платформу для развёртывания и мониторинга агентов; создавать повторно используемые компоненты.
• Разрабатывать end-to-end дата-приложения, инструменты и интерфейсы на Python и React/JS, включая API, дашборды и интерактивные интерфейсы.
• Создавать продвинутые аналитические модели и Power BI-отчёты; задавать стандарты и шаблоны.

Skills

Python

React/JavaScript/TypeScript

SQL

REST APIs

Git

Data warehousing/ETL/ELT

Power BI

English (B2+)

LLM/Agent frameworks (бонус)

Tools

Git

REST APIs

Job description

Описание

Описания нет

Задачи

• Develop AI Agents on modern LLM frameworks for analytics assistants, automation and decision support, including engineering prompts, tools, memory and orchestration logic for reliable agent behavior
• Integrate AI Agents with internal data sources, APIs and enterprise applications
• Contribute to the internal platform that hosts, deploys and monitors AI Agents, and build reusable components for orchestration, evaluation, observability and governance
• Design and develop end-to-end data applications, tools and interfaces in Python and React / JavaScript, including APIs, dashboards and interactive interfaces that bring advanced analytics to business users
• Develop advanced analytical models and Power BI deliverables, and define standards and templates that improve consistency and reuse
• Design and maintain ETL/ELT pipelines that prepare, transform and deliver high-quality data for AI and analytics workloads
• Deploy and operate AI solutions on cloud and hybrid infrastructure, making effective use of managed AI, compute and storage services
• Support CI/CD pipelines for AI agents and data applications
• Communicate with internal customers and business teams to gather requirements and feedback and to support adoption of AI solutions

Требования

• 2-4 years of experience in similar roles (AI Engineer, ML Engineer, Data Engineer), including hands-on experience delivering AI or data solutions to production
• Proficiency in Python
• Expertise in React, JavaScript and TypeScript for frontend development
• Skills in writing performant SQL on relational and analytical databases
• Experience building and consuming REST APIs, working with Git and following modern software engineering practices
• Understanding of data architecture concepts, including data warehousing, data lakes and ETL/ELT
• Experience with Power BI, including data modeling and report development
• English proficiency at B2 level or higher
• Будет плюсом: Familiarity with LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or AutoGen; Experience with vector databases

Условия

• 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
• Leadership development, career advising, soft skills and well-being programs
• Certifications, including GCP, Azure and AWS
• Unlimited access to EPAM's internal learning database
• Free English classes with certified teachers
• Discounts in local language schools, including online courses for the Kazakh language
• 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)
• Housing support program: preferential mortgage access via Otbasy Bank partnership