AI/ML Engineer
1 point system
Role Overview
As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.
Key Responsibilities
- Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
- Guide the architecture, infrastructure, tools, and processes for AI/ML products.
- Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
- Implement GraphRag in AI/ML products deployed to production to improve LLM response.
- Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
- Standardize, optimize, and scale products in production environments.
- Develop rapid prototypes to experiment and evaluate feasibility.
- Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.
Required Qualifications
Education: A Bachelor's Degree in Engineering, Computer Science, or a similar field is required.
Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.
Technical Skills:
- Expert-level programming skills in Python/PySpark and Java.
- Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
- Experience with public cloud platforms, ideally Azure.
- Proficiency with containerization and DevSecOps practices.
- Experience working with semi-structured file formats and NoSQL databases.
- Understanding of API design, development, and production deployment at scale.
- Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
- Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response
Preferred Qualifications
- Experience in the healthcare industry.
- Knowledge of medical terminology and clinical workflows.
- Contributions to open-source AI/ML projects.
- A Master's degree.
Vacancy posted 3 days ago
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