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 seeking aSenior Machine Learning Engineerto join our team.In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms for various applications, including NLP, computer vision, deep learning, and reinforcement learning. 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) for model deployment, monitoring, and optimization.
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#LI-DNI#EasyApplyResponsibilitiesDesign, develop, and deploy machine learning models and algorithms for various applicationsBuild and maintain scalable ML pipelines for data processing, model training, and evaluationCollaborate with cross-functional teams to integrate machine learning models into production environmentsUtilize machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn to build and fine-tune modelsWork with large datasets to extract meaningful insights and apply statistical analysisImplement cloud-based solutions using AWS, Azure, or Google Cloud (GCP) for model deployment, monitoring, and optimizationStay up-to-date with the latest research and advancements in machine learning, deep learning, NLP, and other AI technologiesConduct experiments, evaluate models, and iterate based on performance metricsRequirementsExperience of 5+ years as a Machine Learning Engineer, Data Scientist, or similar roleBachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a related fieldStrong expertise in machine learning, deep learning, neural networks, NLP, computer vision, or reinforcement learningProficiency in Python and machine learning libraries such as TensorFlow, PyTorch, Keras, or Scikit-learnHands-on experience with cloud computing platforms like AWS, Azure, or Google Cloud (GCP)Solid understanding of data preprocessing, feature engineering, and model evaluationExperience with building and deploying machine learning models in production environmentsExcellent problem-solving skills, critical thinking, and attention to detailB2+ English level proficiencyWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)
