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

Senior Machine Learning Engineer



Job description

1 week ago Be among the first 25 applicants

We are seeking a Senior Machine Learning Engineer to architect, develop, and optimize ML-driven systems that intelligently recommend user-generated content and enhance engagement.

You will create scalable machine learning pipelines and oversee advanced deployments in a high-performance environment suitable for real-time data processing.

Responsibilities

  • Design high-performance machine learning pipelines using both online and offline feature engineering
  • Implement advanced machine learning models leveraging Python and TensorFlow
  • Optimize inference workflows for low-latency, real-time data like player telemetry
  • Orchestrate machine learning processes with MLflow
  • Integrate datasets through ETL/ELT workflows on Databricks
  • Monitor, debug, and refine production ML systems for optimal performance
  • Automate scalable feature engineering and model deployment solutions
  • Collaborate with interdisciplinary teams to align machine learning with overall system goals
  • Utilize Databricks for effective dataset management and computational processes
  • Establish best practices for scalable and maintainable machine learning systems

Requirements

  • 3+ years of experience creating machine learning pipelines and products
  • Proficiency in Databricks, MLflow, TensorFlow
  • Skills in Python for machine learning and data engineering workflows
  • Background in ETL/ELT platforms, with competency in large-scale integrations
  • Understanding of real-time data processing and low-latency system requirements
  • Capability to structure and improve online and offline feature engineering workflows
  • Knowledge of ML model lifecycle management and tuning pipeline performance
  • Competency in designing scalable, efficient ML solutions for complex scenarios
  • English level of minimum B2 (Upper-Intermediate) to ensure effective communication

Nice to have

  • Expertise in recommender systems for advancing content personalization and discovery
  • Capability to deploy machine learning processes on AWS infrastructure
  • Proficiency in leveraging real-time analytics or telemetry-focused data solutions

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 Technology, Information and Internet

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Santiago, Santiago Metropolitan Region, Chile 2 weeks ago

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