Nxt Level

About the Company

Nxt Level redefines recruitment, transforming it into a strategic, client-focused partnership. We're not just recruiters; we're dedicated allies in your talent acquisition, committed to delivering results through a blend of speed, precision, and an understanding of your unique needs. Our Services: * Contract * Contract-to-Hire * Direct Hire * Executive Search Key Highlights: * High Acceptance Rate: An impressive 89% rate, thanks to our targeted strategies. * Efficient Hiring: Averaging 4 interviews per offer, saving time and resources. * Diversity Focus: 31% of our placements are diverse candidates, underlining our commitment to inclusivity. Our Approach: * Client-Centric: We work as an extension of your team. * Quality Over Quantity: Focused on the perfect candidate-company match. * Collaborative Partnership: Tailored solutions to meet your specific aspirations and challenges. Join Nxt Level to transform your recruitment strategy and drive growth. Together, let's elevate your talent acquisition to new heights.

Listed Jobs

Company Name

Nxt Level

Job Title

Director of Machine Learning (Healthcare AI)

Job Description

Job Title: Director of Machine Learning (Healthcare AI) Role Summary: Lead end-to-end machine learning strategy for scalable, HIPAA-compliant AI healthcare systems, focusing on diagnostic reasoning, chronic disease management, and safety-critical model deployment. Oversee team leadership, model pipeline development, and alignment with clinical and platform teams. Expactations: Define ML/LLM vision and architecture; build/lead ML teams; establish model lifecycle (development, safety, monitoring, rollback); implement safety protocols for clinical AI; architect scalable, low-latency inference systems. Key Responsibilities: Translate clinical problems into prioritized ML roadmaps; deploy production models (LLMs + classical ML); conduct design reviews and document technical plans; partner with backend teams on APIs/feature stores; create evaluation pipelines (offline/online experiments, post-incident learning); recruit and mentor ML teams; communicate progress/risk to stakeholders. Required Skills: Expertise in LLMs/gen-AI (RAG, fine-tuning, distillation), Python/PyTorch/TensorFlow, MLOps (CI/CD, observability, canary testing), safety-critical systems (bias/fairness, uncertainty calibration), real-time production ML deployment, cross-functional collaboration. Required Education & Certifications: Not specified.

New york city, United states

Remote

Junior

17-10-2025