Senior Machine Learning Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on 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 continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are currently a Senior Machine Learning Engineer to join our team.
You will work with large datasets, extract meaningful insights, and apply statistical analysis. Collaborating with cross-functional teams, you will integrate machine learning models into production environments and implement cloud-based solutions using AWS, Azure, or Google Cloud (GCP).

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• Design, develop, and deploy machine learning models and algorithms for various applications, including NLP, computer vision, deep learning, and reinforcement learning
• Build and maintain scalable ML pipelines for data processing, model training, and evaluation
• Utilize machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn to build and fine-tune models
• Work with large datasets to extract meaningful insights and apply statistical analysis
• Collaborate with cross-functional teams to integrate machine learning models into production environments
• Implement cloud-based solutions using AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimization
• Conduct experiments, evaluate models, and iterate on them based on performance metrics
• Stay up-to-date with the latest research and advancements in machine learning

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
• At least 5 years of experience as a Machine Learning Engineer, Data Scientist, or similar role
• Expertise in machine learning, deep learning, neural networks, NLP, computer vision, or reinforcement learning
• Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn
• Hands-on experience with cloud computing platforms like AWS, Azure, or Google Cloud (GCP)
• Solid understanding of data preprocessing, feature engineering, and model evaluation
• Experience with building and deploying machine learning models in production environments
• Strong communication skills and the ability to work effectively in a collaborative team environment
• B2+ English level

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)