AI/ML Engineer

Job Title

Top Requirements:

• Python/Pyspark, Java programming
• Exp building UI using HTML, CSS, JavaScript frameworks (React or Angular)
• 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
• Public Cloud (ideally Azure)
• Voice based conversational AI (ideal)

Duties:

• Collaborate with product team to design, develop, and deploy world-class Decision Intelligence and AI enabled products
• Explore novel solutions, often combining multiple AI/ML techniques
• Guide the architecture, infrastructure, tools, and processes used to develop, maintain AI/ML products
• Deeply understand a wide variety of algorithms to understand vulnerabilities, strengths, and weaknesses
• Rapidly develop prototypes to experiment and evaluate feasibility
• Standardize, optimize and scale products in production environments
• Design and implement scalable and efficient ML Ops pipelines for ingesting, processing, and storing large volumes of structured and unstructured data
• Keep abreast of the latest data platform and AI/ML tools, techniques and industry trends

Skills/Requirements (required)

• Expert understanding and experience deployment to production AI/ML architectures, tools, and data infrastructure to public cloud platforms.
• Expert level programming skills in two or more languages, preferably including Python/PySpark, Java.
• Designing and building user interfaces using HTML, CSS, and JavaScript frameworks like React or Angular.
• Strong understanding of cloud computing, containerization, and DevSecOps practices
• Proficient working with semi-structured file formats and NoSQL databases
• Strong understanding of layers of software stack including API design, development and production deployment at scale.
• Understanding of Healthcare industry standards and HIPAA privacy and security rules