Principal Machine Learning Engineer - Web & Mobile Business Unit
November 10
Description
• Collaborate within a cross-functional data team to address diverse, data-centric tasks • Establish and maintain effective communication with clients and their teams, ensuring alignment on project objectives • Take ownership of delivering key solution features, from design to deployment • Engage in requirements gathering and analysis, proposing optimal machine learning strategies and leading the implementation process • Contribute to pre-sales activities, providing expert input on machine learning and AI solutions • Develop and implement core system modules, designing scalable and cost-effective solutions • Conduct code reviews and write comprehensive unit and integration tests to ensure code quality • Scale distributed systems and infrastructure to support evolving business needs • Support the client’s research team in the implementation, training, testing, and fine-tuning of deep learning models • Collaborate with research teams to identify the most appropriate models and open-source tools for language and signal processing tasks, optimizing performance and outcomes
Requirements
• Advanced Python and SQL knowledge and expertise • Experience in model implementation and tuning using popular Machine Learning frameworks like PyTorch, Keras, TensorFlow • Ability to understand Machine Learning development and deployment processes • Solid experience with Machine Learning cloud services like AWS SageMaker or Vertex AI and their supplemental features (like SageMaker Pipelines) • Proficiency in programming for Computer Vision applications and solutions • Expertise in MLOps, focusing on streamlining and automating ML workflows • Ability to create and adjust Machine Learning pipelines for the end-to-end Machine Learning development cycle • Experience in working with Deep Learning models for signal and speech processing, as well as for Natural Language Processing domain • Proficiency in setting up multi-GPU infrastructure for model training • Solid understanding in DevOps practices and principles • Work experience in building and deploying AI solutions • Familiarity with statistical and data mining techniques and ability to use them when it is appropriate • Experience in working with Data Analytics • At least an Upper-Intermediate level of English
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