Description

You will develop and maintain production-grade machine learning systems.

Responsibilities

• Develop, fine-tune, and optimize LLMs and modern deep learning models.
• Design, implement, and maintain instruction orchestration and evaluation workflows for LLM-based systems.
• Build and maintain training pipelines, datasets, and evaluation workflows.
• Analyze model performance, identify failure patterns, and drive improvements across AI systems.
• Collaborate with engineering and product teams to deploy and iterate on AI features.

Required Skills

• 7+ years of experience in machine learning, NLP, or deep learning.
• Hands-on experience with LLMs (GPT, LLaMA, Mistral, or similar) in applied or production contexts.
• Required experience with Healthcare data.
• Strong Python skills; experience with PyTorch or TensorFlow.
• Familiarity with HuggingFace tools and modern model-training workflows.
• Experience optimizing LLM and deep learning workloads on AWS, including GPU utilization.
• Experience designing automated evaluation, regression testing, or benchmarking pipelines for AI systems.
• Proven ability to work with minimal direction and take ownership in ambiguous problem spaces.

Key Skills

Education

Any Gradute