We are looking for a highly skilled and innovative Senior Data Scientist/Machine Learning Engineer - Neural Network Trainer and Researcher with expertise in training neural networks and working with NLP BERT-based models. As a key member of our team, you will be responsible for training neural networks and conducting research to improve our classifier project. You should possess strong experimental design skills, the ability to define and validate hypotheses, and draw sound conclusions from your analysis.
Join our team and contribute to cutting-edge projects in NLP and neural network training. As a Neural Network Trainer and Researcher with expertise in NLP BERT-based models, you will have the opportunity to design experiments, validate hypotheses, and draw meaningful conclusions to enhance our classifier project.

• Develop and train neural networks, specifically focusing on NLP tasks and BERT-based models
• Collaborate with cross-functional teams to define project objectives and requirements
• Design and conduct experiments to evaluate the performance of different models and techniques
• Preprocess and clean textual data for training and evaluation
• Fine-tune and optimize existing pre-trained BERT models for specific classification tasks
• Analyze experimental results, identify trends, and draw conclusions to improve model performance
• Research and stay up-to-date with the latest advancements in NLP, neural network training, and BERT-based models
• Document and communicate experimental findings, insights, and recommendations to stakeholders

• Bachelor's or higher degree in Computer Science, Artificial Intelligence, or a related field
• Proven experience in training neural networks and implementing NLP algorithms
• Strong knowledge and experience with NLP BERT-based models
• Proficiency in programming languages such as Python, TensorFlow, and PyTorch
• Experience in experimental design, hypothesis formulation, and validation
• Solid understanding of deep learning concepts, architectures, and optimization techniques
• Strong analytical and problem-solving skills
• Excellent communication and collaboration abilities. Preferred Qualifications
• Advanced degree (Master's or PhD) in a relevant field
• Experience working on classifier projects using NLP BERT-based models
• Familiarity with other NLP techniques and models, such as word embeddings, LSTM, and attention mechanisms
• Experience with statistical analysis and data visualization tools
• Knowledge of machine learning interpretability techniques to explain model decisions
• Published research or contributions to the NLP and neural network training community
• Upper-intermediate or higher English level, both spoken and written (B2+)

• 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