Senior Machine Learning Engineer

Remote • Posted 30+ days ago • Updated 6 hours ago
Full Time
Remote
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Cross-functional Team
  • Data Science
  • Data Engineering
  • DevOps
  • Cloud Computing
  • Machine Learning Operations (ML Ops)
  • Amazon SageMaker
  • Databricks
  • Vertex
  • Artificial Intelligence
  • Python
  • NumPy
  • Pandas
  • XGBoost
  • Keras
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Microservices
  • SQL
  • Apache Spark
  • Machine Learning (ML)
  • Workflow Management
  • Workflow
  • Continuous Integration
  • Continuous Delivery
  • Git
  • GitHub
  • Docker
  • Data Processing
  • Streaming
  • Communication
  • Leadership Development
  • Soft Skills
  • Google Cloud Platform
  • Google Cloud
  • Microsoft Azure
  • Amazon Web Services
  • LinkedIn
  • English
  • Collaboration
  • Sitecore

Summary

We are looking for a Senior Machine Learning Engineer to join our team and drive the development, deployment, and support of advanced ML solutions in a production environment. You will work in a cross-functional team, implement engineering best practices, automate ML processes, and integrate models into complex data-driven systems.

To discover more about Cloud practice at EPAM Georgia, visit this page .

Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi.

Responsibilities

  • Design, develop, and maintain production-grade machine learning models
  • Automate ML pipelines using modern tools (e.g., Databricks, Azure ML, AWS SageMaker)
  • Integrate ML solutions into complex data-driven systems
  • Work with large-scale data using Apache Spark or alternative technologies
  • Apply and promote engineering best practices and MLOps principles
  • Collaborate with Data Science, Data Engineering, DevOps, and other teams
  • Support various data processing paradigms (batch, micro-batch, streaming)
  • Utilize cloud platforms (AWS, Google Cloud Platform, Azure) for deploying and maintaining ML solutions

Requirements

  • 3+ years of experience as a Machine Learning Engineer in production projects
  • Practical experience with cloud platforms (AWS, Google Cloud Platform, Azure)
  • Experience with MLOps platforms/technologies (AWS SageMaker, Azure ML, Databricks, Google Cloud Platform Vertex AI)
  • Hands-on experience with the Python ML ecosystem (NumPy, pandas, XGBoost, Keras, PyTorch, TensorFlow, scikit-learn)
  • Experience with creating microservices for model serving
  • Experience with Apache Spark (Spark SQL, MLlib/Spark ML) or alternative technologies
  • Experience automating pipelines and workflow management (Airflow, Argo Workflow, etc.)
  • Proficiency in modern engineering practices (CI/CD, git, GitHub, Docker)
  • Experience with different data processing paradigms (batch, micro-batch, streaming)
  • Excellent communication skills and experience working in cross-functional teams
  • English language proficiency at an Upper-Intermediate level (B2) or higher

We offer/Benefits

We connect like-minded people
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events

We invest in your growth
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including Google Cloud Platform, Azure and AWS
  • Unlimited access to LinkedIn Learning and Udemy
  • Free English classes with certified teachers

We cover it all
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Five trust days per year (sick leave without a medical certificate)
  • Benefits package (sports activities, a variety of stores and services)

EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.

Why Choose Us

2024 Best Place to Work 2024 2024 Sitecore's Partner Experience Awards
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10330481
  • Position Id: fdaf3b3bd3c1698a22db16cd5a450b39
  • Posted 30+ days ago
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