Senior Machine Learning Engineer

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

Benefits

With us you can:

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)

We focus on your professional growth:

• You can plan your individual career path together with your manager
• Receive regular feedback from colleagues
• Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
• Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds