AI/ML Engineer

AI/ML Cloud DB Engineer (Neo4j)

Special Instructions

MUST HAVE: Graph Database (neo4j), Python, AI/ML experience is nice to have

The Expertise You Have

• Experience in designing and implementing graph data models that capture complex relationships, ensuring efficient querying and traversal.
• Experience with developing applications with Python.
• Integrate graph data from various sources – internal and external.
• Experience with graph database query languages (e.g. SPARQL, Gremlin, Cypher etc.).
• Required proficiency in graph databases (e.g., Neo4j (Required), RDF Graphs (e.g. Stardog, GraphDB, RDFox, etc.) nice to have).
• Hands on experience working with LPG/RDF.
• Manage graph databases.
• Experience with graph algorithms and graph-based machine learning.
• Experience with AWS infrastructure (S3, CFTs, EC2), security and data and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and/or practical experience.
• Experience in working in Model development and deployment lifecycle using ML infrastructure and MLOps in the Cloud (AWS preferred).
• Superior SQL skills and experience developing data transformation pipelines multiple database platforms.
• Bachelor's or master's degree in computer science, Data Science, or related field.
• You are passionate about data and technology and have experience with or an interest in AI/ML and/or the consumer experience, and healthcare technology.
• You are self-driven, highly motivated and a quick learner.
• You should have an analytical and consulting mindset- being fearless in asking engaging questions to help tease out requirements details and technical implementation options often from more senior team members and customers.
• Can thrive and accel in an environment with requirements ambiguity. Be able to rapidly define, prototype, document and get feedback on innovative test and learn solutions for rule integration & execution and graph reasoning.
• Excellent verbal and written communications skills.