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Urgent! Senior ML Engineer Job Opening In Chile, Chile – Now Hiring EPAM Systems

Senior ML Engineer



Job description

We are seeking a Senior Machine Learning Engineer to join our team and contribute to the GenAI project.

In this role, you will focus on designing, building, and optimizing backend systems that support LLM-driven applications using OpenAI APIs. You will leverage your expertise in MLOps, CI/CD, observability, and cloud-native technologies to ensure the scalability, reliability, and performance of AI-powered solutions.

Responsibilities

  • Develop and optimize backend services for AI and LLM-based applications
  • Integrate and manage LLM-based applications in cloud environments
  • Scale AI applications to meet performance and reliability requirements
  • Implement CI/CD pipelines to automate deployment processes
  • Monitor AI services to ensure performance and reliability
  • Establish observability and logging for tracking LLM API performance
  • Collaborate with DevOps teams to streamline workflows and improve system uptime
  • Work closely with AI and Data Science teams to enhance application functionality
  • Leverage cloud platforms, with a preference for Azure, to host and scale AI solutions
  • Design and develop APIs and microservices to enable AI-powered features

Requirements

  • At least 3 years of experience in Machine Learning Engineering with a focus on software and backend systems
  • Strong expertise in integrating and working with OpenAI APIs and AI services
  • Proficiency in MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation
  • Hands-on experience with monitoring and observability tools like Grafana, Dynatrace, and ThoughtSpot
  • Deep understanding of cloud platforms, particularly Azure, as well as Apache Spark and Databricks
  • Strong Python programming skills for backend development
  • Experience in designing and implementing APIs and microservices architecture
  • Fluent English communication skills, both written and spoken, at a B2+ level or higher

Nice to have

  • Knowledge of Data Science principles and techniques
  • Experience working with Large Language Models (LLMs)
  • Familiarity with Natural Language Processing (NLP) concepts and applications

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • 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


Required Skill Profession

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