Full-Time Senior Machine Learning Engineer

You will join our global Machine Learning and Data Science unit. Noa.ai’s mission is to broaden access to top-quality healthcare by lifting administrative burdens from clinicians. As a Senior Machine Learning Engineer you will take ownership of end-to-end ML capabilities. Backed by a strong engineering culture, we pair industry-leading ML rigor with pragmatic delivery. In this role, you’ll work alongside exceptional engineers, scientists and other cross-functional leaders on one of Docplanner’s most strategic initiatives. Our tech stack includes Python, Pytorch, Whisper, FastAPI - among the others - running on Kubernetes in AWS.

• Take technical leadership of ML initiatives.
• Design, deploy and iterate over ML services for diverse data types.
• Brainstorm and design technical roadmaps in partnership with the AI Platform team.
• Research, architect, and deploy LLM-powered information retrieval solutions (eg. RAG).
• Lead efforts to improve team effectiveness by evolving internal frameworks.
• Architect, deploy, and maintain high-throughput, reliable data pipelines.

5+ years of professional experience as an ML[Ops] Engineer. Proven track record of delivering impactful ML initiatives. Demonstrated expertise in production-grade MLOps. Good understanding and proficiency in deep learning frameworks such as PyTorch or TensorFlow. Proven ability to integrate, deploy, and optimize large language models in production-grade industry environments. Problem-solving mindset and adaptability. Strong collaboration and communication skills. Experienced in mentoring and guiding other engineers.

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