HCA Healthcare is looking to ensure continued high-quality, efficient patient care by developing and integrating machine learning models and pre-trained APIs into their large-scale data ecosystems and business use cases. This involves leveraging enterprise technology and data platform investments to generate insights from structured and unstructured data.
Requirements
- 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
- 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
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.
Other
- 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.
- Considering multiple variables during proof of concept, including cost, long term functionality, company policies and procedures, organization vision and road maps for incoming technologies.
- Remain updated in the rapidly changing field of machine learning
- 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.
