Top AI & Machine Learning Jobs

Lead AI/ML Engineer responsible for developing and implementing machine learning solutions, managing teams, ensuring compliance, and driving innovation in healthcare applications.

Lead cloud migrations for voice contact center solutions, design AI/ML capabilities, improve automation and governance, and ensure production readiness while collaborating with cross-functional teams.

The Lead AI/ML Engineer will develop AI and ML strategies in healthcare, manage teams, and ensure quality delivery of AI solutions.

The Senior AI/ML Engineer will build and operate production-grade ML systems, focusing on MLOps, scalable pipelines, and Generative AI solutions using Azure. Responsibilities include managing the ML lifecycle, deploying AI systems, and ensuring compliance and security.

The AI/ML Engineer will lead applied research in LLMs, design scalable AIML pipelines, integrate advanced tools, and mentor juniors.

Lead applied research in AI/ML, design scalable pipelines, mentor junior staff, and collaborate cross-functionally to deploy AI solutions.

The Sr. Principal Data Scientist develops advanced analytics and predictive models, collaborating with various teams to influence strategic business decisions and optimize outcomes.

Oversee AI/ML project development, mentor teams, develop machine learning models, and promote AI solutions for healthcare optimization.

Lead design, build, and deploy production-grade Voice AI and LLM capabilities (ASR, real-time transcription, bilingual switching). Set architecture and enterprise standards, mentor engineers, ensure HIPAA-compliant, secure, and reusable solutions, and align roadmaps with business partners and vendors.

Design, build, and deploy Voice AI solutions (ASR, real-time transcription, bilingual switching, speech processing). Partner on architecture, cloud services, CI/CD, HIPAA-compliant model lifecycle, and enterprise vendor evaluation. Translate research into production-ready, reusable capabilities and drive AI standards.