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Machine Learning Engineer — AI Engineering

Machine Learning Engineer — AI Engineering

EPAM SystemsWorkFromHome, Cundinamarca, Colombia
Hace 23 horas
Descripción del trabajo

2 days ago Be among the first 25 applicants

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EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Join our team as a Machine Learning Engineer focusing on backend development for the GenAI project.

You will design, implement, and maintain scalable AI applications, integrating OpenAI APIs with cloud-native technologies while automating deployment and monitoring. Apply now to contribute to cutting-edge AI solutions and advance your career in AI engineering.

Responsibilities

  • Develop and optimize backend services for AI and LLM applications
  • Integrate, scale, and manage LLM-based applications in cloud environments
  • Implement CI / CD pipelines to automate deployment processes
  • Monitor and optimize performance of AI services
  • Ensure observability and logging for LLM API performance tracking
  • Collaborate with DevOps and AI / DS teams to streamline workflows
  • Work with cloud platforms, preferably Azure, to host and scale AI applications
  • Develop APIs and microservices supporting AI-powered features

Requirements

  • Minimum 2 years of experience in Machine Learning Engineering with a backend software focus
  • Strong experience with OpenAI APIs and AI service integration
  • Expertise in MLOps and CI / CD tools, including Orion, ArgoCD, and Opsera
  • Proficiency in monitoring and observability tools such as Grafana, Dynatrace, and ThoughtSpot
  • Experience with cloud and infrastructure technologies, especially Azure, Apache Spark, and Databricks
  • Strong Python programming skills and familiarity with microservices architecture
  • Excellent English communication skills at B2 level or higher
  • 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

  • Associate
  • Employment type

  • Full-time
  • Job function

  • Engineering, Information Technology, and Research
  • Industries

  • Software Development, IT Services and IT Consulting, and Retail
  • #J-18808-Ljbffr

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