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Urgent! Senior AI Engineering Machine Learning Engineer Job Opening In WorkFromHome – Now Hiring EPAM Systems

Senior AI Engineering Machine Learning Engineer



Job description

2 days ago Be among the first 25 applicants

We are looking for a Senior AI Engineering Machine Learning Engineer to lead backend development for advanced GenAI projects.

You will be responsible for designing, deploying, and maintaining scalable AI-driven applications using OpenAI APIs and cloud-native tools, with a focus on automation and monitoring.

Join us to play a key role in innovative AI solutions and grow your expertise in AI engineering.

Responsibilities

  • Design and enhance backend services supporting AI and large language model applications
  • Integrate and scale LLM-based solutions within cloud infrastructures
  • Build and maintain CI/CD pipelines for seamless deployment automation
  • Monitor AI service performance and implement improvements
  • Ensure comprehensive observability and logging for LLM API usage
  • Collaborate closely with DevOps and AI/Data Science teams to improve processes
  • Utilize cloud platforms, especially Azure, to deploy and scale AI applications
  • Create APIs and microservices enabling AI-powered capabilities

Requirements

  • At least 3 years of professional experience in machine learning engineering with a backend software emphasis
  • Proven expertise with OpenAI APIs and integrating AI services
  • Strong knowledge of MLOps and CI/CD tools such as Orion, ArgoCD, and Opsera
  • Experience with monitoring and observability platforms like Grafana, Dynatrace, and ThoughtSpot
  • Solid background with cloud and infrastructure technologies including Azure, Apache Spark, and Databricks
  • Advanced Python programming abilities and understanding of microservices architecture
  • Fluent English communication skills at B2 level or above

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
  • Retail

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Required Skill Profession

Redes Y Sistemas



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