5.0 - 10.0 years

0 Lacs

telangana

On-site

As a skilled Technical Lead, you will be responsible for leading the end-to-end design and delivery of an AI-powered solution that combines NLP, anomaly detection, GenAI/RAG, and rule engines on a Cloud platform. Your role will involve owning the architecture, technical roadmap, and production reliability while guiding a cross-functional team comprising ML, Data Eng, Backend, DevOps, and QA professionals. Key Responsibilities: - Define the reference architecture including ingestion, lakehouse, features/vectors, models, and APIs/UX; make build/buy decisions - Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop - Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, rollback - Design retrieval pipelines such as chunking, embeddings, vector namespaces, guardrails, and citation-based responses - Oversee feature store, labelling strategy, and high-quality gold datasets; enforce DQ rules and lineage - Right-size SKUs, caching/batching, cost/per-token dashboards, SLOs for latency/throughput - Break down epics/stories, estimate and sequence work, unblock the team, run technical design reviews - Translate business policy into rule + ML ensembles, present options, risks, and trade-offs - Establish testing pyramid, performance targets, observability dashboards - Produce design docs, runbooks, SOPs, mentor engineers, uplift coding and review standards Skills Requirements: - 10+ years of software development experience, with at least 5 years leading AI/ML projects - Proficiency in supervised/unsupervised modeling, anomaly detection, NLP, OCR pipelines, and evaluation design - Experience with LangChain/LangGraph, embeddings, MLflow, Delta Lake, Python (FastAPI), and Azure services - Strong technical decision-making, cross-team coordination, and stakeholder communication skills Qualifications: - Bachelor's Degree in Computer Science or related science field or equivalent Preferred Skills: - Certifications in AI/ML disciplines - Hands-on experience with explainable AI and AI governance - Familiarity with regulatory compliance standards for financial data (Note: Additional company details were not provided in the job description.),

Posted 20 hours ago

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