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.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI

• 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

• 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

• Familiarity with Docker and Kubernetes
• Background in LangChain and Large Language Models
• Understanding of Natural Language Processing

• 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)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• 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
• Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
• Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
• Study at EPAM Solution Architecture School with the instructors who are practicing architects
• Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
• Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)
• Vacation and sick leave (including a sick leave without a medical certificate)
• A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)
• Medical insurance for family members at corporate rates
• Company support during significant life events (childbirth or adoption, marriage, etc.)
• Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training
• E-kids program - a free programming language training program for EPAMers' children