Applied AI Engineer

NYU Grossman School of Medicine • New York, NY • 2h ago

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go tomed.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, TwitterandInstagram.Position Summary:We have an exciting opportunity to join our team as a Engineer II - Applied AI.As a ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects forward in collaboration with the key customers - data scientists, business units and IT partners across the various verticals (corporate services, office of science and research, clinical, and pathology).Job Responsibilities: Design and implement AI/ML applications using tools and frameworks from our teams technology stack and following the best practices in software development Collaborate with data scientists to build and / or fine-tune high performing AI models and implement modern techniques from relevant published papers Develop scalable and robust pipelines to support large data processing tasks Implement our internal security and data protection standards in AI applications; assist the team with maintaining emerging AI system risk and security standards Support the team in preparation for technical reviews and internal documentation (architecture, IT Security, AI) Collaborate with other team members and stakeholders to meet team objectives; develop understanding of business workflows shadow / work with clients to gather feature requirements, identify and document AI opportunities, create appropriate tickets, participate in backlog refinement, execute tickets, participate in code-review activities Stay updated with the latest industry trends and advancements in AI and relevant cloud technologies; routinely share and demonstrate learnings with the team Provide technical guidance and coaching to less experienced team members * Participate in all phases of AI software development life cycle, including functional analysis, prototyping, development, evaluation, testing, deployment, refactoring and technical supportMinimum Qualifications:To qualify you must have a 1. Bachelor's degree in computer science, software engineering, or a related field.2. At least 1-3 years of hands-on experience in AI Solution development3. Strong programming skills in Python, or other languages commonly used in AI development.4. Substantial knowledge of AI, machine learning, and deep learning5. Experience with AI platforms like PyTorch or TensorFlow6. Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes)7. Understanding of software development principles and methodologies, including data structures, data modeling and software architecture.8. Excellent problem-solving skills and ability to work in a team environment.9. Excellent communication skills, both verbal and written.Preferred Qualifications:1. Masters degree in computer science, data science, software engineering, or a related quantitative discipline2. 3-5 years of hands-on experience in AI Solution development3. Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and expe

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