Data Architect - NLP/Machine Learning

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 (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/8/2024