What are the responsibilities and job description for the Cloud DB Engineer position at Fidelity TalentSource?
**Graph Database AI/ML Engineer**
The WI AI/ML Delivery team in Fidelity Investments is seeking a skilled Graph Database AI/ML Engineer to work on an innovative project combining graph databases with machine learning techniques.
Key Responsibilities:
- Design, implement, and optimize solutions that leverage graph data structures to enhance machine learning models and drive actionable insights.
- Experience in designing and implementing graph data models that capture complex relationships, ensuring efficient querying and traversal.
- Develop applications with Python and integrate graph data from various sources – internal and external.
- Manage graph databases and have hands-on experience working with LPG/RDF.
- Expertise in graph algorithms and graph-based machine learning.
- Proficiency in graph database query languages (e.g. SPARQL, Gremlin, Cypher etc.) and required proficiency in graph databases (e.g., Neo4j).
Requirements:
- Bachelor's or master's degree in computer science, Data Science, or related field.
- Strong analytical and consulting mindset with excellent verbal and written communications skills.
- Self-driven, highly motivated, and a quick learner with the ability to thrive in an environment with requirements ambiguity.
About Us:
Fidelity TalentSource is the in-house temporary staffing provider for Fidelity Investments, one of the largest and most diversified global financial services firms in the industry.
We welcome individuals from all backgrounds, including technology and customer service, to fill assignments across Fidelity's U.S.-based regional and investor center locations.
