Senior Medical Annotation Jobs in California (NOW HIRING)

Job Summary:
Abbott is a global healthcare leader that helps people live more fully at all stages of life. The Senior Manager, AI Product Development, Digital Solutions position involves defining strategies for building a high-performing AI product development team and providing leadership for the development of AI solutions in collaboration with cross-functional teams.
Responsibilities:
• Define the strategy to build a high performing AI product development team. Formulate team goals to support business growth objectives, performance management, recruit, develop and retain talent to support business needs.
• Provide technical and functional leadership for a highly skilled Product AI team (data engineers, ML Ops engineers, software architects, software engineers) to accomplish team goals. Responsible for on-time and high-quality delivery of product focused AI solutions in collaboration with cross-functional teams across Digital Solutions and Medical Device divisions.
• Provide leadership to define development methodologies, build project plans, establish development estimate practices, project resource allocation, ensure relevant technology stack (development environment and toolchains) for continuous integration and continuous deployment.
• Challenge and coach team members as well as external partners to push for optimal insights and optimized/tailored/high-impact scalable AI/ML solutions.
• Develop team processes, prioritize work, develop team roadmaps and deliverables, and provide hands on coaching and review of work performed by team.
• Define and ensure implementation of data science standards for exploration, development, and deployment.
• Develop budget estimates, obtain capital resources to deliver business goals. Contribute to business unit and divisional strategy planning.
• Provide mentorship and career development oversight for direct report employees.
Qualifications:
Required:
• Masters or PhD in relevant field (e.g., applied mathematics, computer science, engineering, applied statistics)
• 10+ years of software/technology product development experience, including 5–7+ years building AI/ML products
• 5+ years of people management experience leading AI engineering or software teams
• Experience leading AI engineering and software teams. Solid experience working on full-model development lifecycle
• Strong customer centric approach with outstanding leadership and organizational skills
• Ability to communicate complex quantitative analysis in a clear, precise, actionable manner
• In-depth knowledge of software architecture styles, design patterns, and architectural principles
• Proficiency in one or more programming languages, such as Java, Golang, C#, Python, or JavaScript
• Deep experience in ML Ops tools for experiment tracking, model training, data versioning, annotation tools, model serving, monitoring and observability
• Experience with GenAI and Agentic AI development infrastructure including grounding, RAG, MCP and prompt engineering
• Experience developing AI products on cloud computing platforms (e.g., AWS, Azure, Google Cloud), containerization technologies (e.g., Docker, Kubernetes), pipeline orchestration tools (e.g. Airflow)
• Proficient in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies
• Strong understanding of database technologies (e.g., SQL, NoSQL) and data modeling principles
• Significant experience working with agile software development methods, such as scrum and Kanban and working within CI/CD pipelines
• Experience incorporating Security by Design principles into AI product development
• Excellent technical, troubleshooting & mentoring skills
• Strong verbal, written and presentation skills with ability to build trust
• Results oriented with focused urgency, prioritization skills and ability to recognize/escalate issues appropriately
• Demonstrated ability to adapt to evolving technologies and industry trends
Preferred:
• Medical Device experience
• Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products)
• Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy
• Experience with microservices architecture and distributed systems
• Experience with FDA 510(k) submissions and clinical-grade ML product development
• Background in signal processing, computer vision, or multimodal learning
Company:
Abbott is a healthcare company that produces diagnostic kits, medical devices, nutritional products, and branded generic medicines. Founded in 1888, the company is headquartered in Illinois City, USA, with a team of 10001+ employees. The company is currently Late Stage.