W2 Only - Sponsorship Available.

No CTC or 3rd Party

Locals to North East or Westlake Texas

Hybrid - 2 weeks onsite in a Month (Alternate Weeks)

Looking for a Graph Database AI/ML Engineer to work on an exciting project involving Graph Database and AI Models. As a Graph Database AI/ML Engineer, you’ll be at the forefront of cutting-edge technology, combining the power of graph databases with machine learning techniques. Your role will involve designing, implementing, and optimizing solutions that leverage graph data structures to enhance machine learning models and drive actionable insights.

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 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.

NOTICE- Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.