TymblHub

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Lead AI Scientist

Candescent
Posted on

Experience
4 - 9 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Lead Data Scientist
Job Type
ONSITE

Job Description

Requirements
  • 4+ years of experience in AI, ML, Gen AI, Agentic AI, NLP, Modelling & Real time decisioning systems
  • Excellent programming skills in Python, research/innovation experience, strong communication & collaboration skills
  • Hand-on experience in building Agents, prompt engineering, fine-tuning, transfer learning, Transformers, Deep Learning, innovation & research
  • Experience in enterprise SaaS platforms; fintech or banking domain, Conversational AI, experience in product based company is strongly preferred.
  • Experience in GCP cloud, MLOps practices for CI/CD in AI/ML, deploying the APIs (FastAPI) & vector data bases.
  • Familiarity with Open Banking standards, APIs, data-sharing frameworks, embedding third-party AI tools/APIs into core product workflows.
Key Responsibilities
  • Contribute to Candescent s AI vision aligned with product and platform strategy.
  • Mentor other Agentic AI/AI/ML professionals providing guidance on best practices and technical expertise.
  • Develop AI Agents, Gen AI/AI/ML Solutions, Custom data models and algorithms from conception to completion ensuring quality & timelines
  • Partner with Product & Engineering to develop secure, compliant, and scalable Agentic AI, Gen AI, AI & ML capabilities across our customer-facing and internal platforms.
  • Identify opportunities for AI integration and expansion across various products & services.
  • Develop AI-powered features across the digital banking platform, including fraud detection, smart personalization, chat and voice assistants, and intelligent automation.
  • Champion AI used cases in open banking powering smarter financial decisions through data aggregation, partner integrations, and predictive analytics.
  • Drive integration of third-party AI tools and services into Candescent s platform through APIs and SDKs.
  • Establish and enforce best practices in model governance, quality management, bias mitigation, responsible AI & model explainability.
  • Stay updated with the latest advancements in Agentic AI/Gen AI/AI/ML and propose innovative solutions to enhance the companys capabilities.

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