Senior Machine Learning Engineer Full-time

Our customer is an international retailer of personal care and beauty products.

The Machine Learning Engineer will be working on the GenAI project for our client. This project entails developing and implementing machine learning models and algorithms to enhance customer experiences, optimize business operations, and drive revenue growth for our customer.

As a Machine Learning Engineer, you will be responsible for designing, implementing, and maintaining machine learning solutions that meet the project requirements. You will collaborate with cross-functional teams to understand business needs, gather data, and create scalable machine learning pipelines.

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

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Responsibilities

• Designing and implementing machine learning models and algorithms
• Developing scalable machine learning pipelines using Apache Spark and Databricks
• Implementing MLOps practices to ensure efficient model deployment and monitoring
• Working with Microsoft Azure to leverage cloud-based machine learning services
• Colaborating with data scientists and other stakeholders to understand business requirements
• Evaluating and optimizing machine learning models for performance and accuracy

Requirements

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

Nice to have

• Docker, Kubernetes, LangChain, Large Language Models, Natural Language Processing

We offer

• 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

EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM’s success, so we value cooperation, strive to always understand our clients’ business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.