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.
The remote option applies only to the Candidates who will be working from any location in Ukraine.
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Responsibilities
- 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
Requirements
- 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+)
We Offer
- Competitive compensation depending on experience and skills
- The individual career path
- Social package
- English classes with certified English teachers
- Unlimited access to LinkedIn learning solutions
- Flexible work hours
About EPAM
- EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential. EPAM is committed to providing our global team of 60,000+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence
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