Data Architect - NLP/Machine Learning (8-12 yrs)

Job Description :

Role : Data Architect (Knowledge Graph), Senior Consultant/Manager.

The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities.

This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.

Work you'll do :

- Design and develop scalable and efficient knowledge graph architectures.

- Implement knowledge graph integration with existing data systems and business processes.

- Lead the ontology design, data modeling, and schema development for knowledge representation.

- Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.

- Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.

- Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.

- Develop and maintain documentation and specifications for system architectures and designs.

- Stay updated with the latest industry trends in knowledge graph technologies and data management.

The Team :

- Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today.

- I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.

- It drives cultural and capability transformation from solely services - based businesses to hybrid businesses.

- While others bet on the future, I&T builds it with you.

- I&T encompasses many teams-dreamers, designers, builders-and partners with the business to bring a unique POV to deliver services and products for clients.

Qualifications and Experience :

Required :

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- 8 - 12 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.

- Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.

- Experience with graph databases such as Neo4j, Amazon Neptune, or others.

- Proficiency in programming languages relevant to data management.

- Excellent analytical and problem-solving abilities.

- Strong communication and collaboration skills to work effectively across teams.

Preferred :

- Experience with machine learning and natural language processing.

- Experience with Industry

- Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.

- Experience with containerization technologies like Docker and Kubernetes.

Location : Bangalore