Advanced AI Project Manager

12 hours ago

Jamnagar, Gujarat, India beBeeExpert Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: AI Technical Lead

We are seeking a highly skilled technical lead to oversee the end-to-end design and delivery of an AI-powered solution combining NLP, anomaly detection, GenAI/RAG, and rule engines on Cloud platform.

Key Responsibilities:

  • Define reference architecture for data ingestion, lakehouse, features/vectors, models, and APIs/UX.
  • Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components with human-in-the-loop involvement.
  • Implement experiment tracking, model registry, CI/CD for models, automated evaluation, drift monitoring, and rollback.
  • Design retrieval pipelines, guardrails, and citation-based responses.
  • Oversee feature store, labelling strategy, and high-quality gold datasets while enforcing DQ rules and lineage.
  • Optimize SKUs, caching/batching, and cost/per-token dashboards with SLOs for latency/throughput.
  • Break down epics/stories, estimate work, unblock the team, and run technical design reviews.
  • Translate business policy into rule + ML ensembles, presenting options, risks, and trade-offs.
  • Establish testing pyramid, performance targets, and observability dashboards.
  • Produce design docs, runbooks, SOPs; mentor engineers; uplift coding and review standards.

Required Skills and Qualifications:

  • 10+ years of software development experience with at least 5 years leading AI/ML projects.
  • Supervised/unsupervised modelling, anomaly detection, NLP (extraction, classification, NER), OCR pipelines; evaluation design (precision/recall, ROC/PR).
  • LangChain/LangGraph; embeddings; vector databases/Azure Cognitive Search (vector); prompt engineering & safety patterns.
  • MLflow, model registry, online/offline evals, data/version management; CI/CD for models.
  • Delta Lake/Lakehouse (bronze/silver/gold), Azure Data Lake Gen2, Databricks/ADF, schema/versioning, Great Expectations/Deequ.
  • Python (FastAPI), eventing (Event Grid/Service Bus), containerization (AKS/Azure Container Apps), APIM.
  • Cognitive Search, Azure OpenAI, Key Vault, Monitor/App Insights, Purview, Cosmos DB/Azure SQL.
  • Technical decision-making, cross-team coordination, stakeholder communication, and mentoring.

Preferred Skills:

  • Certifications in AI/ML disciplines.
  • Hands-on experience with explainable AI and AI governance.
  • Familiarity with regulatory compliance standards for financial data (e.g., SOX, GDPR).

Qualifications:

  • Bachelor's Degree in Computer Science or related science field or equivalent.

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