AI/ML Lead – Lending Automation

1 week ago


Hyderabad, Telangana, India BizAcuity Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Summary:

Were looking for a hands-on AI/ML Lead who can design and deliver AI-powered solutions while guiding developers on how to integrate them into our core platform. Expect to spend roughly 50 % of your time writing and shipping code and 50 % shaping architecture, mentoring the team, and representing AI to stakeholders. Youll work on NLP-driven document parsing, GenAI orchestration for lending workflows, and valuation automation. Youll be comfortable integrating existing AI APIs, managing model lifecycles, and ensuring our data is AI-ready. Youll report to the Engineering Lead and work closely with the data engineering team, product managers, and UK stakeholders.

Key Responsibilities:

  • Architect and implement AI features aligned to our lending workflows starting with NLP, valuation automation, and orchestration
  • Work hands-on to build prototypes, integrate APIs (OpenAI, Claude, AWS Comprehend, etc.), and ship production-ready features
  • Guide our data team on what data needs to be captured and structured for optimal AI use
  • Manage model lifecycles from selection and integration to monitoring, fine-tuning, and retraining
  • Orchestrate multi-step GenAI processes that interact with multiple PRD modules (e.g., Credit Committee Pack Builder, Comms parsing)
  • Work with product to define KPIs, measure AI feature impact, and maintain high satisfaction rates
  • Collaborate with the Engineering Lead to ensure AI components integrate smoothly with the Node/React platform
  • Present AI concepts, prototypes, and outcomes to UK-based stakeholders in a clear, business-oriented way
  • Keep up-to-date with AI trends and recommend new tools and techniques that can accelerate delivery or improve accuracy

Key Requirements:

  • 712 years of total experience, with at least 3 years hands-on in AI/ML development and architecture
  • Proven track record integrating AI APIs and deploying GenAI-driven features into production
  • Experience with NLP workflows document ingestion, entity extraction, summarisation, sentiment analysis, etc.
  • Strong grasp of AI orchestration building multi-step workflows combining APIs, prompts, and business rules
  • Hands-on coding ability (Python strongly preferred for AI, familiarity with JS/TS for integration a plus)
  • Understanding of data requirements for AI and ability to guide data teams on schema and storage decisions
  • Experience with model lifecycle management evaluation, bias checking, retraining
  • Strong communication and presentation skills for non-technical stakeholders
  • Experience working alongside software developers to embed AI features into a production web platform
  • Bachelors or Masters in Computer Science, AI/ML, or related field

Bonus

  • Experience in fintech or lending platforms
  • Experience with vector databases, RAG (retrieval-augmented generation) patterns, and prompt engineering

What Success Looks Like

  • Three AI features shipped to production in 12 months
  • 80%+ satisfaction rating from internal users and stakeholders
  • AI features reduce manual work and improve process speed without quality drop
  • Data team aligned on AI data readiness
  • Stakeholders clearly see value in AI roadmap and outputs

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