To drive operational improvements, automate tasks, augment human performance, provide analytics, risk scoring and surveillance solutions using large datasets and an array of advanced data science technology in healthcare
Requirements
- Experience with Machine Learning techniques with in-depth understanding of machine learning algorithms and modeling
- Experience with programming languages like Python and Java
- Experience working with cloud-based services and systems including one or more of Amazon ML, Microsoft Azure, Google Cloud ML, or similar
- Experience in object-oriented design, data structures, high-performance computing
- Experiences using system monitoring tools and automated testing frameworks
- Experience delivering systems and services with large scale deployment of machine learning products
- Experience in building natural language processing and computer vision systems
Responsibilities
- Data mining, data cleaning, data engineering
- Select features, build, and optimize classifiers for the use of machine learning techniques
- Develop new ML algorithms to find predictive patterns
- Establish meaningful criteria for evaluating algorithm performance and suitability
- Automate model training and testing and deployment via machine learning continuous delivery pipelines
- Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code
- Optimize processes for maximum speed, performance and accuracy
Other
- Bachelor's degree in Machine Learning, Computer Science, Computer Linguistics, Mathematics, or related field
- Three (3) years of experience with Machine Learning techniques
- Good written and verbal communication skills, including technical writing and PowerPoint presentations
- Ability to clearly and concisely communicate with technical and non-technical customers both verbally and in writing
- Normal office environment
