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Bizacuity - Artificial Intelligence / Machine Learning Lead
BizacuityHyderabad30+ days ago
Job descriptionDevelop production-grade AI services in Python, integrating with REST / GraphQL APIs, microservices, and event-driven architectures. Integrate GenAI APIs (OpenAI GPT, Anthropic Claude, AWS Comprehend, Google Vertex AI, etc.) into existing systems. Select, train, fine-tune, and deploy models (LLMs, transformer-based models, classical ML). Implement model monitoring pipelines for accuracy, drift detection, bias evaluation, and retraining triggers. Optimize inference latency, throughput, and scalability for production workloads. Collaborate with Data Engineering to ensure AI-ready data pipelines (schema design, storage format, vectorization strategies). Establish data labeling, augmentation, and versioning processes for supervised and semi-supervised learning. Ensure compliance with data privacy regulations (GDPR, RBI guidelines) and ethical AI principles. Design and implement multi-step AI orchestration layers combining LLM prompts, RAG (Retrieval-Augmented Generation), and business rules. Build custom prompt chains and tools to handle complex workflows like Credit Committee Pack creation and communication parsing. Translate complex AI concepts into clear business benefits for non-technical stakeholders. Mentor and guide developers on AI integration best practices. Track AI feature KPIs and demonstrate measurable business impact. Total Experience : 7 - 12 years in software engineering, with 3+ years hands-on AI / ML solution delivery. Proven record of deploying AI / NLP features in production environments. Proficiency in Python (FastAPI, Flask, LangChain, Hugging Face Transformers, PyTorch / TensorFlow). Strong experience with NLP pipelines tokenization, embeddings, semantic search, summarization, classification, sentiment analysis. Expertise in AI orchestration frameworks (LangChain, Haystack, LlamaIndex) and workflow automation. Proficient in REST API design, microservices, and integrating AI with JavaScript / TypeScript-based backends. Deep understanding of data structures, feature engineering, and vector databases (Pinecone, Weaviate, FAISS). Solid grasp of MLOps tools (MLflow, Kubeflow, AWS SageMaker, Azure ML). Familiarity with cloud-native AI deployments (AWS, Azure, GCP). Strong communication skills for technical-to-business translation. Fintech or lending automation platform experience. Familiarity with financial document workflows (KYC, underwriting, valuation reports). Hands-on experience with RAG pipelines, prompt engineering, and custom LLM training.
AI / ML Lead Lending Automation & GenAI Orchestration
Role Type : Full-time | Hands-On AI / ML Leadership
Work Location : Hyderabad
About BizAcuity :
BizAcuity empowers enterprises to maximize the value of their data through Business Intelligence, Advanced Analytics, AI / ML-driven automation, and Product Engineering. Since our inception in 2011, we have served global clients across fintech, retail, hospitality, gaming, and healthcare sectors, delivering high-quality, scalable, and secure data-driven solutions.
Our expertise spans Data Engineering, Cloud Services, AI / ML Consulting, Technology Consulting, Application Development, and Managed Services. With a team of 200+ skilled engineers and a culture of innovation, we combine modern technologies with deep business insight to build enterprise-grade solutions that compete with the biggest names in the industry.
Learn more : https : / / bizacuity.com
Role Overview :
We are seeking a hands-on AI / ML Lead who will design, develop, and deploy AI-driven lending automation solutions with a focus on NLP workflows, GenAI orchestration, and valuation process automation. This is a 50% coding and delivery role, 50% architecture and leadership role. You will work directly with our Engineering Lead, Data Engineering Team, Product Managers, and UK-based stakeholders to define, architect, and integrate AI capabilities seamlessly into our Node.js + React enterprise platform.
Key Responsibilities :
AI Solution Architecture & Development :
- Architect and implement end-to-end AI / ML features aligned with lending workflows :
1. NLP Document Parsing OCR, entity extraction, semantic search, summarization, classification.
2. Valuation Automation Predictive modeling for asset and loan valuations.
3. GenAI Orchestration Multi-step, multi-service automation workflows.
Model Lifecycle Management :
Data Readiness & Governance :
AI Workflow Orchestration :
Stakeholder Collaboration & Leadership :
Required Skills & Experience :
Bonus Skills :
(ref : hirist.tech)
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