Overview
On Site
Depends on Experience
Contract - W2
Skills
AI/ML Product Manager
healthcare landscape
including clinical workflow
key performance indicators (KPIs) and metrics for AI/ML products and monitor their
Job Details
Greetings!
Hope you are doing good,
I am Rakesh from Gemini Consulting & Service getting in touch with you to see if you would be available and looking for any new opportunities and possibly be interested in discussing the below role that we currently have with one of our client.
The details of the position are as mentioned below:
Role : AI/ML Product Manager
Location : ONSITE in NYC, NY
Duration : 6+ months duration
Rate : $55/hr W2 without benefits
2 rounds of interview
Responsibilities will include:
- Identify and prioritize high-impact use cases for AI/ML across various business domains
- Conduct market research and gather customer insights (clinicians, executives, administrators) to identify unmet needs and opportunities.
- Build high-impact roadmaps that drive to pre-defined hard and soft ROI for investing in AI/ML products
- Product Lifecycle Management:
- Own the end-to-end product lifecycle for AI/ML products, from ideation and discovery to launch, iteration, and maintenance.
- Define detailed product requirements, user stories, and acceptance criteria for AI/ML models and their integration into clinical or administrative workflows.
- Work closely with engineering, data science, design, and business teams to translate requirements into tangible products.
- Manage product backlogs, prioritize features, and make data-driven decisions on product roadmap.
- AI/ML Expertise & Healthcare Domain Knowledge:
- Possess a strong understanding of AI/ML concepts, methodologies, and their practical application in real-world scenarios.
- Demonstrate a deep understanding of the healthcare landscape, including clinical workflows, regulatory requirements, interoperability standards, and data privacy considerations.
- Evaluate the feasibility and impact of different AI/ML approaches for specific healthcare problems.
- Understand the ethical implications of AI in healthcare and advocate for responsible AI development and deployment.
Collaboration & Communication:
- Act as the primary liaison between technical teams and non-technical, business stakeholders
- Effectively communicate complex technical concepts to diverse audiences and articulate product value propositions.
- Build strong relationships and foster collaboration across cross-functional teams.
- Performance Monitoring & Optimization:
- Design and implement online, offline and human in the loop evaluation strategies for AI/ML models
- Define key performance indicators (KPIs) and metrics for AI/ML products and monitor their performance pre- and post-deployment.
- Analyze product usage, model performance, and user feedback to identify areas for improvement and guide future iterations.
- Drive continuous improvement through user research, and data analysis
Thank You
Rakesh Kurva
Lead Technical Recruiter
Gemini Consulting Services
Phone :
Email ID
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