Tennessee Staffing
Consulting Machine Learning Engineer
Tennessee Staffing, Nashville, Tennessee, United States, 37247
Consulting Machine Learning Engineer
Experience the HCA Healthcare difference where colleagues are trusted, valued members of our healthcare team. Grow your career with an organization committed to delivering respectful, compassionate care, and where the unique and intrinsic worth of each individual is recognized. Submit your application for the opportunity below: HCA Healthcare offers a total rewards package that supports the health, life, career, and retirement of our colleagues. The available plans and programs include: comprehensive medical coverage, additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans, auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance, and more. Free counseling services and resources for emotional, physical, and financial wellbeing are also provided, along with a 401(k) Plan with a 100% match on 3% to 9% of pay, an Employee Stock Purchase Plan with 10% off HCA Healthcare stock, family support through fertility and family building benefits, and education assistance. Colleague recognition program, time away from work program, employee health assistance fund, and preferred banking partnerships are also available. We are seeking a Consulting Machine Learning Engineer for our team to ensure that we continue to provide all patients with high quality, efficient care. Did you get into our industry for these reasons? We are an amazing team that works hard to support each other and are seeking a phenomenal addition like you who feels patient care is as meaningful as we do. We want you to apply! Job Summary and Qualifications
The Consulting Machine Learning Engineer is responsible for developing and integrating machine learning model and pre trained API with Parallon Data Engineering department large-scale data ecosystems and business usecase, including data management and the integration of structured and unstructured data to generate insights to help Parallon unlock the value of enterprise technology and data platform investments. The Parallon Data Engineering department serves multiple business units in the organization: from the coding and clinical data perspective and also from the Revenue Cycle side. The Consulting Machine Learning engineer requires strong knowledge regarding cloud and data/ML platforms, to identify the best practical applicable solutions to resolve the business needs. Considering multiple variables during proof of concept, including cost, long term functionality, company policies and procedures, organization vision and road maps for incoming technologies. The Consulting Machine Learning engineer will report to the Manager of Data Engineering and will work closely with the data scientist, data engineer and collaborate with strong communication skills, and team work mentality. This role is firmly customer facing, with an expectation of constant contact, communication and iteration with both clinical and business customers to define questions, explore solutions and present results. Major Responsibilities
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling, nature language understanding. Design and develop NLP applications on Google cloud and data platform leveraging Vertex AI, LLM and Doc AI. Study and transform data science prototypes. Select appropriate annotated datasets for Supervised Learning methods. Use effective text representations to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Integrate with data platform and source thru API integration. Train the developed model and run evaluation experiments. Perform statistical analysis of results and refine models. Extend ML libraries and frameworks to apply in NLP tasks. Remain updated in the rapidly changing field of machine learning. Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms. Knowledge and expertise of Python and SQL. Experience with machine learning frameworks and API. Experience: 7 or more years of experience in developing and integrating machine learning models and pre trained API in Cloud platforms. 7 or more years of experience as a Data Engineer or NLP ML Engineer or similar role - Preferred. HCA Healthcare has been recognized as one of the World's Most Ethical Companies by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses. If you find this opportunity compelling, we encourage you to apply for our Consulting Machine Learning Engineer opening. We promptly review all applications. Highly qualified candidates will be directly contacted by a member of our team. We are interviewing, apply today! 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.
Experience the HCA Healthcare difference where colleagues are trusted, valued members of our healthcare team. Grow your career with an organization committed to delivering respectful, compassionate care, and where the unique and intrinsic worth of each individual is recognized. Submit your application for the opportunity below: HCA Healthcare offers a total rewards package that supports the health, life, career, and retirement of our colleagues. The available plans and programs include: comprehensive medical coverage, additional options for dental and vision benefits, life and disability coverage, flexible spending accounts, supplemental health protection plans, auto and home insurance, identity theft protection, legal counseling, long-term care coverage, moving assistance, pet insurance, and more. Free counseling services and resources for emotional, physical, and financial wellbeing are also provided, along with a 401(k) Plan with a 100% match on 3% to 9% of pay, an Employee Stock Purchase Plan with 10% off HCA Healthcare stock, family support through fertility and family building benefits, and education assistance. Colleague recognition program, time away from work program, employee health assistance fund, and preferred banking partnerships are also available. We are seeking a Consulting Machine Learning Engineer for our team to ensure that we continue to provide all patients with high quality, efficient care. Did you get into our industry for these reasons? We are an amazing team that works hard to support each other and are seeking a phenomenal addition like you who feels patient care is as meaningful as we do. We want you to apply! Job Summary and Qualifications
The Consulting Machine Learning Engineer is responsible for developing and integrating machine learning model and pre trained API with Parallon Data Engineering department large-scale data ecosystems and business usecase, including data management and the integration of structured and unstructured data to generate insights to help Parallon unlock the value of enterprise technology and data platform investments. The Parallon Data Engineering department serves multiple business units in the organization: from the coding and clinical data perspective and also from the Revenue Cycle side. The Consulting Machine Learning engineer requires strong knowledge regarding cloud and data/ML platforms, to identify the best practical applicable solutions to resolve the business needs. Considering multiple variables during proof of concept, including cost, long term functionality, company policies and procedures, organization vision and road maps for incoming technologies. The Consulting Machine Learning engineer will report to the Manager of Data Engineering and will work closely with the data scientist, data engineer and collaborate with strong communication skills, and team work mentality. This role is firmly customer facing, with an expectation of constant contact, communication and iteration with both clinical and business customers to define questions, explore solutions and present results. Major Responsibilities
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling, nature language understanding. Design and develop NLP applications on Google cloud and data platform leveraging Vertex AI, LLM and Doc AI. Study and transform data science prototypes. Select appropriate annotated datasets for Supervised Learning methods. Use effective text representations to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Integrate with data platform and source thru API integration. Train the developed model and run evaluation experiments. Perform statistical analysis of results and refine models. Extend ML libraries and frameworks to apply in NLP tasks. Remain updated in the rapidly changing field of machine learning. Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms. Knowledge and expertise of Python and SQL. Experience with machine learning frameworks and API. Experience: 7 or more years of experience in developing and integrating machine learning models and pre trained API in Cloud platforms. 7 or more years of experience as a Data Engineer or NLP ML Engineer or similar role - Preferred. HCA Healthcare has been recognized as one of the World's Most Ethical Companies by the Ethisphere Institute more than ten times. In recent years, HCA Healthcare spent an estimated $3.7 billion in cost for the delivery of charitable care, uninsured discounts, and other uncompensated expenses. If you find this opportunity compelling, we encourage you to apply for our Consulting Machine Learning Engineer opening. We promptly review all applications. Highly qualified candidates will be directly contacted by a member of our team. We are interviewing, apply today! 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.