Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.
AI Engineer
Location: Remote, but cannot sit in California, Illinois, New York or New Jersey
Employment Type: Contract to Perm
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.
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