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Senior Machine Learning Engineer

EPAM Systems

Role overview

Qualifications

  • Experience in Machine Learning Engineering
  • Proficiency in Apache Spark, Databricks, MLOps, Microsoft Azure, Python
  • Excellent English communication skills (B2 level)
  • Flexibility to work PST hours shift at least till 8 pm by Kyiv

Responsibilities

  • Design and implementation of machine learning models and algorithms
  • Development of scalable machine learning pipelines utilizing Apache Spark and Databricks
  • Implementation of MLOps practices to ensure efficient model deployment and monitoring
  • Collaboration with data scientists and other stakeholders to comprehend business requirements

Key facts

Hard skills

Other skills

  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

Links

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Job description

The Machine Learning Engineer will engage with the GenAI project for our client. This project includes the development and implementation of machine learning models and algorithms to improve customer experiences, streamline business operations, and increase revenue for our customer. As a Senior Machine Learning Engineer, your role will entail designing, implementing, and maintaining machine learning solutions aligned with project requirements. You will work alongside cross-functional teams to comprehend business needs, gather data, and establish scalable machine learning pipelines. Responsibilities Design and implementation of machine learning models and algorithms Development of scalable machine learning pipelines utilizing Apache Spark and Databricks Implementation of MLOps practices to ensure efficient model deployment and monitoring Use of Microsoft Azure for cloud-based machine learning services Collaboration with data scientists and other stakeholders to comprehend business requirements Evaluation and optimization of machine learning models for performance and accuracy Requirements Experience in Machine Learning Engineering Proficiency in Apache Spark, Databricks, MLOps, Microsoft Azure, Python Excellent English communication skills (B2 level) Flexibility to work PST hours shift at least till 8 pm by Kyiv Nice to have Familiarity with Docker and Kubernetes Background in LangChain and Large Language Models Understanding of Natural Language Processing

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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