Staff Machine Learning Engineer-JT00569 @ Revecore
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About Revecore
Start your next chapter at Revecore! For over 25 years, we’ve been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We’re powered by people, driven by technology, and dedicated to our clients and employees. Enjoy a collaborative and diverse culture with a great work/life balance.
Benefits include:
- Comprehensive medical, dental, vision, and life insurance starting day one
- 12 paid holidays and flexible paid time off
- 401(k) contributions
- Employee Resource Groups
- Career growth opportunities
- Excellent work/life balance
Role Overview: Staff Machine Learning Engineer
At Revecore, as a Machine Learning Engineer, you will drive our AI-enabled workflow program. Your expertise in machine learning, data analysis, and software engineering will enhance the productivity and efficiency of our underpayment business by prioritizing claims based on expected recovery dollars, identifying root causes, and improving our claim-remit matching process.
Responsibilities
- Own end-to-end development, training, productionization, evaluation, and improvement of machine learning systems to rank claim opportunities.
- Analyze and explore data to identify actionable opportunities from internal and 3rd party data.
- Research, implement, and launch new model architectures that drive business impact.
- Collaborate with cross-functional teams including software engineers, data engineers, subject matter experts, product managers, and analysts.
- Implement MLOps best practices to optimize model development, deployment, and maintenance.
- Continuously measure and improve the impact of AI-enabled workflows on key business metrics.
Qualifications
Required:
- Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
- Proven experience in machine learning or data science roles.
- Experience in developing and deploying machine learning models in production environments.
- Proficiency in scikit-learn, TensorFlow, PyTorch with Python and/or Scala.
- Strong data wrangling and exploratory data analysis skills.
- Familiarity with natural language processing (NLP) tasks and tools such as entity extraction, seq2seq modeling, transformers, and Hugging Face.
Preferred:
- Experience with Spark.
- Experience operating ML pipelines on cloud platforms like AWS, GCP, or Azure.
- Master's degree or Ph.D. is a plus.
Work at Home Requirements
- Quiet, distraction-free environment.
- Secure home internet connection with speeds >20 Mbps download and >10 Mbps upload.
- Dedicated workspace with adequate surface area and equipment setup.
Equal Opportunity Employer
Revecore is an equal opportunity employer that values diversity and does not discriminate. We encourage individuals of all backgrounds, perspectives, and abilities to apply.
Location
This position is Remote – USA. Applicants must reside in one of the following states: Alabama, Arkansas, Delaware, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Maine, Maryland, Michigan, Minnesota, Missouri, Mississippi, Montana, North Carolina, Nebraska, New Hampshire, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Wisconsin, or West Virginia.
How to Get Hired at Revecore
🎯 Tips for Getting Hired
- Research Revecore's culture: Study their mission and employee testimonials.
- Customize your resume: Highlight relevant ML and data experience.
- Showcase your projects: Provide examples of production ML deployments.
- Prepare for technical questions: Brush up on Python, TensorFlow and MLOps.