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Urgent! Lead Machine Learning Engineer Job Opening In WorkFromHome – Now Hiring EPAM Systems

Lead Machine Learning Engineer



Job description

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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.

We are in search of a Lead Machine Learning Engineer to direct the design, implementation, and optimization of ML-based systems that intelligently recommend user-generated content, aiming to boost engagement.

This role involves leading the development of robust machine learning pipelines and overseeing high-performance deployments suited for real-time data environments.

Responsibilities

  • Lead the design and execution of scalable, high-performance machine learning pipelines for online and offline feature engineering
  • Drive the development and tuning of advanced machine learning models, primarily utilizing Python and TensorFlow
  • Optimize and manage the deployment of inference pipelines tailored for real-time, low-latency applications such as player telemetry
  • Guide and standardize machine learning workflow management processes using MLflow across the team
  • Supervise and expand data integration pipelines via ETL/ELT processes on Databricks
  • Ensure reliability, debugging, and continuous performance tuning of production-grade ML systems
  • Establish scalable and automated methodologies for feature engineering and durable model deployments
  • Collaborate effectively with senior stakeholders to align machine learning solutions with organizational objectives
  • Strategize effective utilization of Databricks for efficient dataset management and computational workflows
  • Set and uphold industry-leading best practices for scalable, maintainable, and efficient ML systems

Requirements

  • 5+ years of experience building scalable machine learning pipelines and production-grade workflows
  • Minimum of 1 year of leadership experience in relevant roles
  • Demonstrated expertise in Databricks, MLflow, and TensorFlow in professional applications
  • Strong proficiency in Python for advanced machine learning and data engineering
  • Solid background in ETL/ELT platforms with significant experience in large-scale integration processes
  • Deep familiarity with real-time processing systems optimized for low latency
  • Proven skills in designing and scaling workflows for both online and offline feature engineering
  • Expertise in managing ML model lifecycles and optimizing pipelines
  • Capability to deliver scalable, high-performance solutions in multifaceted and evolving environments
  • Excellent command of written and spoken English (B2+ level)

Nice to have

  • Comprehensive understanding of recommender systems with an emphasis on enhancing content discoverability and engagement
  • Proficiency in deploying machine learning systems within AWS or comparable cloud infrastructure
  • Background in real-time analytics coupled with telemetry-driven 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

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Required Skill Profession

Bases De Datos, Analítica Y Bi



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