Compunnel Inc.
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.