Senior Machine Learning Engineer

EPAM Systems

Resistencia - hace 5 días

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Descripción de la vacante
Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer focused on AI Engineering to join our team working on the GenAI project.

You will design and maintain scalable backend systems powering LLM-driven applications using OpenAI APIs, ensuring high performance and reliability. Join us to build cutting‑edge AI solutions and advance your career in a dynamic environment.

Responsibilities
  • Develop and optimize backend services for AI and LLM applications
  • Integrate and scale LLM-based applications within cloud environments
  • Implement CI/CD pipelines to automate deployment processes
  • Monitor and optimize the performance of AI services
  • Ensure observability and maintain logging systems for LLM API tracking
  • Collaborate with DevOps and AI/Data Science teams to enhance system reliability
  • Manage cloud infrastructure, preferably Azure, for hosting AI applications
  • Design and develop APIs and microservices to support AI‑powered features
Requirements
  • 3+ years of experience in machine learning engineering with a backend focus
  • Proficiency in OpenAI APIs and AI service integration
  • Expertise with MLOps and CI/CD tools such as Orion, ArgoCD and Opsera
  • Skilled in monitoring and observability tools including Grafana, Dynatrace, and ThoughtSpot
  • Experience with cloud platforms, preferably Azure, and technologies like Apache Spark and Databricks
  • Advanced Python programming skills and microservices architecture knowledge
  • Excellent English communication skills at B2 (Upper‑Intermediate) level
Nice to have
  • Knowledge of data science methodologies
  • Experience with natural language processing techniques
  • Familiarity with OpenAI API usage and features
We offer
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • 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: Mid‑Senior level

Employment type: Full‑time

Job function: Engineering, Information Technology, and Research

Industries: Software Development, IT Services and IT Consulting, and Retail

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