Machine Learning Engineer Iii - Generative Ai - Windreich Department Of Artificial Intelligence & Human Health Research
Mount Sinai
NEW YORK, NY, US
Hybrid
End-to-end machine learning system development
Machine learning model deployment and maintenance
Technical leadership and mentorship
The Windreich Department of AI & Human Health is rapidly advancing the use of technology to improve health outcomes and is at the forefront of AI implementation within the Mount Sinai Health
Job Summary
The Windreich Department of AI & Human Health is rapidly advancing the use of technology to improve health outcomes and is at the forefront of AI implementation within the Mount Sinai Health.
Machine Learning Engineer III will oversee the design and development of sophisticated machine learning systems.
Exhibit technical leadership and mentorship to Machine Learning Engineer I, II, and other team members.
Matching Summary
The Windreich Department of AI & Human Health is rapidly advancing the use of technology to improve health outcomes and is at the forefront of AI implementation within the Mount Sinai Health.
Skills & Requirements
Must-have
End-to-end machine learning system development
Machine learning model deployment and maintenance
Technical leadership and mentorship
Advanced problem-solving skills
Proficiency in multiple programming languages
Experience with SQL and NoSQL databases
Experience with Big Data technologies (Apache Spark)
Hands-on experience in Unix environments
Practical knowledge of cloud systems (AWS, Azure, or GCP)
Familiarity with CI/CD systems
Nice-to-have
Knowledge exchange and professional growth
Researching new methods and techniques
Collaborative environment for brainstorming
Transparent and timely communication with stakeholders
Building strong interdepartmental relationships
Process improvement methodologies
Key Requirements
Bachelor's degree in Computer Science, Data Science, or related field
4+ years of relevant experience in machine learning
4+ years of relevant experience in back-end software development
Proven history in developing, deploying, and operating efficient and reliable machine learning systems
Strong leadership and effective communication skills