Senior Machine Learning Engineer
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Artificial Intelligence, Health TechIndustries
Requirements
Candidates should possess a Master's degree in Computer Science, Statistics, or a related field, and have at least 5 years of experience in machine learning engineering. Strong experience with large datasets, particularly in the healthcare domain, is required, along with proficiency in programming languages such as Python and experience with machine learning frameworks like TensorFlow or PyTorch. Familiarity with cloud computing platforms like AWS or GCP is also preferred.
Responsibilities
As a Sr. Machine Learning Engineer, you will participate in developing state-of-the-art ML solutions to address large-scale healthcare problems, develop pipelines that collect, preprocess, and deliver data with a measurable quality, write production-ready software with well-tested and efficient algorithms, and develop state-of-the-art ML algorithms across computer vision, large-language models, and probabilistic inference to solve problems like medical document entity extraction, medical coding and claim outcome prediction. You will also own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment, and contribute to the overall development of the AKASA Platform.
Skills
Machine Learning
Data Pipelines
Natural Language Processing
Computer Vision
Large Language Models
Probabilistic Inference
Software Development
Model Deployment
Data Preprocessing
Algorithm Development
AKASA
Automates revenue cycle management processes
About AKASA
AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.
San Francisco, CaliforniaHeadquarters
2018Year Founded
$199.4MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees