Transformative Data Intelligence Platform Architect

2 weeks ago

kanpur, India beBeeData Full time

Job Title:Senior AI Engineer**About the Role:**The successful candidate will be responsible for architecting and implementing distributed graph computing solutions processing billions of entities and relationships for a next-generation data intelligence platform using a microservices architecture.As a senior member of our team, you will lead the development of the Entity Resolution and Network Generation services. You will work closely with cross-functional teams to ensure seamless integration between entity resolution and network generation services.Key Responsibilities: Design and implement distributed entity resolution algorithms to process billions of records.Build blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale.Create AI/ML based advanced matching with explainable AI (XAI).Implement incremental resolution supporting real-time and batch modes.Design APIs for entity lookup with sub-100ms latency requirements.Assist the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT (Graph transformers).Requirements:We are looking for a highly motivated and experienced engineer who has expertise in distributed computing and big data systems. The ideal candidate should have experience in entity resolution and graph analytics at scale. Strong understanding of blocking algorithms, probabilistic record linkage, and similarity measures is required.The selected candidate will have strong programming skills in languages such as Java, Python, or Scala. Experience with Apache Spark, Dask, or equivalent is also necessary.Preferred Qualifications:Master's or PhD degree in Computer Science or related field with focus on graphs/entity resolution.Experience with Architecture Design and implementation of large scaled Graph databases.Track record in building systems processing millions of entities/edges.Benefits:This is a unique opportunity for the right candidate to solve intricate technical challenges and push the boundaries of what's possible with distributed graph computing.Growth opportunities are available for candidates who are passionate about learning and growing with the company.Comprehensive benefits package includes competitive salary, comprehensive health insurance, and retirement plan.How to Apply:Application instructions are provided below.Technical screening and interview will be conducted via video conference.Candidates must submit their resume and cover letter by email address provided in the job posting.

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