Job Description
This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$190,000.00/yr - $250,000.00/yr
Job details
Must Have Healthcare Revenue Cycle OR Payor Services Experience
This Jobot Job is hosted by Christian Aviles
Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.
Salary $190,000 - $250,000 per year
A Bit About Us
NEW STEALTH STARTUP - IMMEDIATE OPPORTUNITY
Well Funded Seed ML HealthTech Startup - Founders are AI Veterans of over 30 years and are Well Connected based on a History of SUCCESSFUL StartUp Launches already.
These are the FIRST ML/Data Science Hires - Looking at Senior, Staff, Principal, etc. (multiple levels)
Contribute to Helping Patients in the Healthcare System - "We" pay too much because of errors and other processes in healthcare, both monetarily and physically. These issues can be Optimized And Resolved by Machine Learning and we intend to do that.
Why join us?
Innovation
Feel GOOD about your Work
Up to 1.5% of Equity - HEAVILY DEPENDANT ON MULTIPLE FACTORS
Job Details
IMMEDIATE OPENINGS - NO C2C OR SPONSORSHIP
Package Completely Dependent on Experience + Interview + Professional References
Base Range $150 - 250k + Equity
Must Have Experience In Healthcare Revenue Cycle Management
examples Medical Coding, RCM, Insurance Reimbursement, Claims, Patient Billing, etc.
We are on the hunt for passionate and dedicated Staff Machine Learning Engineers to join our dynamic team. This is an incredible opportunity to be one of the first hires and make a significant impact on our growing organization. You will be crucial in building and implementing machine learning models, creating AI solutions, and predictive modeling. This role requires a deep understanding of Python, Go, Golang, Rust, Keras, TensorFlow, GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines. If you have an insatiable curiosity, a love for problem-solving, and a knack for creating efficient and innovative AI solutions, we would love to hear from you!
Responsibilities
Design, develop, and deploy state-of-the-art machine learning models and AI solutions.
Utilize your knowledge of Python, Go, Golang, Rust, and other related technologies to create innovative solutions.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Collaborate with cross-functional teams to understand their needs and develop solutions accordingly.
Analyze large and complex data sets to derive valuable insights.
Implement NLP solutions to improve our product’s understanding and interpretation of natural language.
Optimize existing ML models and ensure they are up-to-date and functioning optimally.
Apply your knowledge of Keras, TensorFlow, GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines to solve complex problems.
Stay updated with the latest machine learning trends, techniques, and technologies.
Qualifications
MUST HAVE SPECIFIC EXPERIENCE IN HEALTHCARE REVENUE CYCLE MANAGEMENT
Minimum 7-10 years of experience in a similar role, with a focus on machine learning, AI solutions, and predictive modeling.
Proficiency in Python, Go, Golang, Rust, and other related technologies.
Experience with machine learning frameworks such as Keras and TensorFlow.
Experience with libraries such as GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines.
Solid understanding of NLP and its application in real-world scenarios.
Excellent knowledge of machine learning algorithms and their application.
Strong analytical and problem-solving skills.
Ability to work in a fast-paced, dynamic environment and adapt to rapid changes.
Excellent communication and collaboration skills.
Strong passion for learning and staying updated with the latest trends in machine learning and AI.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.#J-18808-Ljbffr
Responsibilities
- Contribute to Helping Patients in the Healthcare System - "We" pay too much because of errors and other processes in healthcare, both monetarily and physically
- These issues can be Optimized And Resolved by Machine Learning and we intend to do that
- You will be crucial in building and implementing machine learning models, creating AI solutions, and predictive modeling
- Design, develop, and deploy state-of-the-art machine learning models and AI solutions
- Utilize your knowledge of Python, Go, Golang, Rust, and other related technologies to create innovative solutions
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
- Collaborate with cross-functional teams to understand their needs and develop solutions accordingly
- Analyze large and complex data sets to derive valuable insights
- Implement NLP solutions to improve our product’s understanding and interpretation of natural language
- Optimize existing ML models and ensure they are up-to-date and functioning optimally
- Apply your knowledge of Keras, TensorFlow, GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines to solve complex problems
- Stay updated with the latest machine learning trends, techniques, and technologies
Requirements
- Must Have Healthcare Revenue Cycle OR Payor Services Experience
- Up to 1.5% of Equity - HEAVILY DEPENDANT ON MULTIPLE FACTORS
- Must Have Experience In Healthcare Revenue Cycle Management
- examples Medical Coding, RCM, Insurance Reimbursement, Claims, Patient Billing, etc
- We are on the hunt for passionate and dedicated Staff Machine Learning Engineers to join our dynamic team
- This role requires a deep understanding of Python, Go, Golang, Rust, Keras, TensorFlow, GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines
- If you have an insatiable curiosity, a love for problem-solving, and a knack for creating efficient and innovative AI solutions, we would love to hear from you!
- MUST HAVE SPECIFIC EXPERIENCE IN HEALTHCARE REVENUE CYCLE MANAGEMENT
- Minimum 7-10 years of experience in a similar role, with a focus on machine learning, AI solutions, and predictive modeling
- Proficiency in Python, Go, Golang, Rust, and other related technologies
- Experience with machine learning frameworks such as Keras and TensorFlow
- Experience with libraries such as GPT, Pandas, NumPy, Spark, Apache, Flask, and Pipelines
- Solid understanding of NLP and its application in real-world scenarios
- Excellent knowledge of machine learning algorithms and their application
- Strong analytical and problem-solving skills
- Ability to work in a fast-paced, dynamic environment and adapt to rapid changes
- Excellent communication and collaboration skills
- Strong passion for learning and staying updated with the latest trends in machine learning and AI