HCA Healthcare is looking to integrate machine learning models and pre-trained APIs into their large-scale data ecosystems and business use cases to unlock the value of enterprise technology and data platform investments, ultimately aiming to provide high-quality, efficient care to patients.
Requirements
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling , nature language understanding.
- Google cloud and data platform leveraging Vertex AI , LLM and Doc AI
- 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
Responsibilities
- Developing and integrating machine learning model and pre trained API with Parallon Data Engineering department large-scale data ecosystems and business usecase
- 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
- 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.
- 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.
- Remain updated in the rapidly changing field of machine learning
