New York Technology Partners
Remote Sr. AI/ML Engineer
Company
New York Technology Partners
Role
Remote Sr. AI/ML Engineer
Location
Maple Grove, Minnesota, US
Job type
Full-time
Posted
5 days ago
Salary
Job description
Position is starting off as a 6 month contract that is likely to extend or potentially convert fulltime. Candidates must be able to work without sponsorship now or in the future.
Job Description
- Lead AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques.
- Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs.
- Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards.
- Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities.
- Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions.
- Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges.
- Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices.
- Accountable for high-quality software deliverables and operational excellence.
- Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices.
- Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives.
- Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects.
Needs
- 8+ years of software engineering experience.
- 9+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models.
- Strong experience with Chatbots, conversational AI, and NLP-based solutions.
- 9+ years of experience with Web and API development.
- 9+ years of experience hosting applications in cloud environments (AWS preferred).
- Strong knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
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