Graph DB/AI Engineer SMT

Graph DB/AI Engineer SMT
Location: Smithfield RI (Strongly Preferred) or Westlake Texas onsite 2 weeks per month starting Sept. 2024
Visa : Any
Contract : W2 (No C2C )
Expereince : 8+

Must Have Skills: Graph Database Engineering, AI/Client background, Python Development, AWS
Preferred Skills: Experience in working in Model development and deployment lifecycle using Client infrastructure and MLOps in the Cloud (AWS preferred).

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., Graphdb, Neo4j, Amazon Neptune, JanusGraph).
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 Client 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.
The Skills You Bring

You are passionate about data and technology and have experience with or an interest in AI/Client and/or the consumer experience, and healthcare technology.
You are determined, highly motivated and a quick learner.
You should have an analytical and consulting mentality- being fearless in asking engaging questions to help tease out requirements details and technical implementation options often from more senior team members and customers.
Excellent verbal and written communications skills.