Note: The job is a remote job and is open to candidates in USA. AKASA is a leading provider of generative AI solutions for the healthcare revenue cycle, focused on improving patient care through innovative technology. As a Sr. Machine Learning Engineer, you will develop and deploy machine learning solutions that directly impact healthcare professionals and their operations.

Responsibilities

• Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems
• Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment
• Help develop pipelines that collect, preprocess, and deliver data with a measurable quality
• Write production-ready software with well-tested and efficient algorithms
• Develop state-of-the-art ML algorithms across large-language models, probabilistic inference and computer vision to solve problems like medical document entity extraction, medical coding and claim outcome prediction
• Help build novel, application-specific ML models - all of our products are built from the ground up with ML at their core, enabling us to deploy our predictions in new and interesting ways

Skills

• Master's degree in Computer Science or similar
• 5+ years of work experience in machine learning and data engineering
• Experience launching production ML systems from the ground up
• Experience with Large Language Models, including both open source model deployment and agentic workflows; ideal: experience directly training or fine-tuning LLMs
• Proficiency in one or more programming languages such as Python and C++
• Development experience with cloud platforms such as Spark, AWS & k8s
• Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow

Benefits

• Flexible paid time off (PTO)
• Expansive coverage for health, dental, and vision
• Employer contribution to Health Savings Accounts (HSA)
• Generous parental leave policy
• Full employee coverage for life insurance
• Home office stipend
• Cell phone/internet reimbursement
• Company-paid holidays
• 401(K) plan

Company Overview

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