HCA Healthcare
Consulting Machine Learning Engineer
HCA Healthcare, Nashville, Tennessee, United States, 37247
Overview
Join to apply for the
Consulting Machine Learning Engineer
role at
HCA Healthcare . We are seeking a Consulting Machine Learning Engineer to develop and integrate machine learning models and pre-trained APIs within Parallon Data Engineering's large-scale data ecosystems and business use cases, including data management and the integration of structured and unstructured data to generate insights and maximize the value of enterprise technology and data platform investments. Benefits
Comprehensive medical coverage with prescriptions and behavioral health benefits, telemedicine, and AirMed transport. Additional options for dental, vision, life and disability coverage, flexible spending accounts, and various insurance plans. Employee assistance and wellbeing resources. 401(k) plan with 100% employer match on a portion of pay. Employee Stock Purchase Plan with stock discount. Fertility and family-building benefits and adoption assistance. Referral services and consumer discounts. Retirement readiness and banking partnerships. Education assistance (tuition, student loans, certifications). Colleague recognition program and paid time off including family leave and disability coverage. Employee Health Assistance Fund for eligible colleagues.
Note: Eligibility for benefits may vary by location.
Job Summary and Qualifications
The Consulting Machine Learning Engineer is responsible for developing and integrating machine learning models and pre-trained APIs with Parallon Data Engineering’s large-scale data ecosystems and business use cases, including data management and the integration of structured and unstructured data to generate insights and unlock the value of enterprise technology and data platform investments. The role serves multiple business units, including coding/clinical data and Revenue Cycle, and requires strong knowledge of cloud and data/ML platforms to identify practical solutions that meet business needs. The candidate will report to the Manager of Data Engineering and collaborate with data scientists and data engineers, with a strong emphasis on communication and teamwork. This role is customer-facing with ongoing interaction with clinical and business customers to define questions, explore solutions, and present results.
Major Responsibilities
Apply NLP techniques for text representation, semantic extraction, data structures, modeling, and natural language understanding. Design and develop NLP applications on Google Cloud and data platforms leveraging Vertex AI, LLMs, and Doc AI. Transform data science prototypes for production use. Select appropriate annotated datasets for supervised learning. Convert natural language into useful features using effective text representations. Implement suitable algorithms and tools for NLP tasks. Integrate with data platforms and sources via API. Train models and run evaluation experiments; perform statistical analysis and refine models. Extend ML libraries and frameworks for NLP tasks; stay updated with advances in ML. Demonstrate deep understanding of text representation techniques (e.g., n-grams, bag of words, sentiment analysis), statistics, and classification algorithms. Proficiency in Python and SQL; experience with ML frameworks and APIs.
Experience
7+ years of experience developing and integrating machine learning models and pre-trained APIs on cloud platforms. 7+ years of experience as a Data Engineer or NLP ML Engineer or similar role (preferred).
Equal Opportunity
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology and Health Care Provider Industries: Hospitals and Health Care
#J-18808-Ljbffr
Join to apply for the
Consulting Machine Learning Engineer
role at
HCA Healthcare . We are seeking a Consulting Machine Learning Engineer to develop and integrate machine learning models and pre-trained APIs within Parallon Data Engineering's large-scale data ecosystems and business use cases, including data management and the integration of structured and unstructured data to generate insights and maximize the value of enterprise technology and data platform investments. Benefits
Comprehensive medical coverage with prescriptions and behavioral health benefits, telemedicine, and AirMed transport. Additional options for dental, vision, life and disability coverage, flexible spending accounts, and various insurance plans. Employee assistance and wellbeing resources. 401(k) plan with 100% employer match on a portion of pay. Employee Stock Purchase Plan with stock discount. Fertility and family-building benefits and adoption assistance. Referral services and consumer discounts. Retirement readiness and banking partnerships. Education assistance (tuition, student loans, certifications). Colleague recognition program and paid time off including family leave and disability coverage. Employee Health Assistance Fund for eligible colleagues.
Note: Eligibility for benefits may vary by location.
Job Summary and Qualifications
The Consulting Machine Learning Engineer is responsible for developing and integrating machine learning models and pre-trained APIs with Parallon Data Engineering’s large-scale data ecosystems and business use cases, including data management and the integration of structured and unstructured data to generate insights and unlock the value of enterprise technology and data platform investments. The role serves multiple business units, including coding/clinical data and Revenue Cycle, and requires strong knowledge of cloud and data/ML platforms to identify practical solutions that meet business needs. The candidate will report to the Manager of Data Engineering and collaborate with data scientists and data engineers, with a strong emphasis on communication and teamwork. This role is customer-facing with ongoing interaction with clinical and business customers to define questions, explore solutions, and present results.
Major Responsibilities
Apply NLP techniques for text representation, semantic extraction, data structures, modeling, and natural language understanding. Design and develop NLP applications on Google Cloud and data platforms leveraging Vertex AI, LLMs, and Doc AI. Transform data science prototypes for production use. Select appropriate annotated datasets for supervised learning. Convert natural language into useful features using effective text representations. Implement suitable algorithms and tools for NLP tasks. Integrate with data platforms and sources via API. Train models and run evaluation experiments; perform statistical analysis and refine models. Extend ML libraries and frameworks for NLP tasks; stay updated with advances in ML. Demonstrate deep understanding of text representation techniques (e.g., n-grams, bag of words, sentiment analysis), statistics, and classification algorithms. Proficiency in Python and SQL; experience with ML frameworks and APIs.
Experience
7+ years of experience developing and integrating machine learning models and pre-trained APIs on cloud platforms. 7+ years of experience as a Data Engineer or NLP ML Engineer or similar role (preferred).
Equal Opportunity
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology and Health Care Provider Industries: Hospitals and Health Care
#J-18808-Ljbffr