Machine Learning Engineer

Description

Skill Requirements

3-5 years of experience in problem solving, data analytics in consulting projects and/or product development.

Knowledge of databases, schemas and data extraction from finance/accounting systems.

AI and predictive modelling/ machine learning

Domain knowledge in Healthcare Provider Revenue Cycle

Bachelor's Degree Required

Functions

• Work on multiple work-streams including data manipulation, automation and analyzing large data sets to find useful relationships and trends that impact overall profitability of the business

• Gathering and prioritizing opportunities to leverage AI and predictive modelling working with Product Management.

• Gather user requirements and develop business case (revenue yield, cost savings from enhanced productivity)

• Following coding best practices, documentation, implementation guidelines, and process.

• Communicating complex concepts and the results of the models and analyses to a technical and non-technical audience.

• Work with large volumes of data; background in Statistical Analytical domain is an advantage

• Collaborate with engineering to help with new modules UAT and ensure functionality meets specs

• Ability to use SQL, MS Excel, MS PowerPoint (SAS/Python/R is an advantage)

Job Details

This candidate will be responsible for problem solving, design, develop, and analyze findings of advanced AI/ML models to solve business problems related to Revenue Cycle operations for US based healthcare Systems.

Work closely with software, data science, product management and domain experts in an intellectually challenging and collaborative environment to translate business problems into data science and develop highly innovative solutions.

Requirements

Technical experience desired

• Python, Pytorch, NumPy, Pandas, GIT, Object Detection, Tracking, NLP

• Predictive Analytics, Predictive Modeling, Develop Predictive Models, AI engineering, Machine Learning

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