Applied AI Engineer

NYU Langone Health • New York, NY

5h • $84,578 - $126,000

About The Position

NYU Grossman School of Medicine is seeking an Engineer II - Applied AI to join their team. This role will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. The engineer will be responsible for driving specific projects forward in collaboration with data scientists, business units, and IT partners across various verticals including corporate services, office of science and research, clinical, and pathology.

Requirements

• Bachelor's degree in computer science, software engineering, or a related field.
• At least 1-3 years of hands-on experience in AI Solution development
• Strong programming skills in Python, or other languages commonly used in AI development.
• Substantial knowledge of AI, machine learning, and deep learning
• Experience with AI platforms like PyTorch or TensorFlow
• Experience with building large-scale and/or compute-intensive applications on clusters for data engineering, model training and evaluation (HPC, Spark, Kubernetes)
• Understanding of software development principles and methodologies, including data structures, data modeling and software architecture.
• Excellent problem-solving skills and ability to work in a team environment.
• Excellent communication skills, both verbal and written.
• Qualified candidates must be able to effectively communicate with all levels of the organization.

Nice To Haves

• Masters degree in computer science, data science, software engineering, or a related quantitative discipline
• 3-5 years of hands-on experience in AI Solution development
• Basic understanding of at least one cloud (Azure, AWS, GCP) and cloud native development tools, and experience using their AI / ML toolchain

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 support

Benefits

• financial security benefits
• a generous time-off program
• employee resources groups for peer support
• holistic employee wellness program (physical, mental, nutritional, sleep, social, financial, and preventive care)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level