Data Scientist

2 days ago

Guntur, Andhra Pradesh, India beBeeArtificial Full time ₹ 20,00,000 - ₹ 30,00,000
Artificial Intelligence Engineer

We are seeking a seasoned technical leader with 15+ years of experience to architect, implement and scale AI-driven process automation, intelligent workflow mining and task orchestration.

About the Role:
  1. Architectural Vision:
  • Define AI-powered process automation blueprints and agentic AI frameworks to drive business growth and efficiency.
  • Design scalable, secure and high-performance architectures for AI-first process mining and discovery to uncover valuable insights.
  • Establish LLM-based active learning pipelines for continuous improvement and adaptability to stay ahead in the industry.
  1. Implementation and Development:
  • Lead the development of AI-driven workflow automation using inter-agent collaboration to streamline processes and improve productivity.
  • Build process intelligence layers to optimize execution, anomaly detection and decision automation for better outcomes.
  • Develop and deploy RPA-enhanced AI agents for business process transformation to achieve strategic goals.
  1. Integration and Testing:
  • Integrate Azure AI Search, Vector DBs and Intelligent Process Automation to extract valuable insights from enterprise data and make informed decisions.
  • Implement multi-modal AI pipelines handling structured and unstructured inputs for dynamic processing and real-time analysis.
  • Optimize AI-driven anomaly detection for automated error resolution and predictive analytics to prevent potential issues.
  1. Optimization and Performance Tuning:
  • Leverage ML-driven process mining for automated workflow discovery, execution efficiency and intelligent recommendations to maximize ROI.
  • Implement continuous AI learning cycles to improve accuracy and execution speed over time for sustained success.
  • Optimize end-to-end process intelligence dashboards using advanced NLP and BI visualizations to provide actionable insights.
  1. Documentation and Knowledge Sharing:
  • Develop comprehensive architectural documentation for AI-driven process intelligence solutions to facilitate knowledge sharing and onboarding.
  • Lead knowledge-sharing initiatives to align teams on best practices in GenAI, RPA and Intelligent Process Automation for cross-functional collaboration.
  • Mentor teams on AutoGen-based AI workflow orchestration and scalable AI agent development to ensure skills transfer and retention.

Requirements:

  • Deep experience in AI-driven Process Discovery, Mining and RPA Integration.
  • Hands-on expertise in SQL, unstructured data processing and AI-based data curation pipelines.
  • 12-14 years in AI platform engineering, process automation and intelligent systems development.
  • 5+ years recent leading AI-powered enterprise automation projects using Python, Flask/Django/FastAPI.
  • Expertise in building ML/AI pipelines leveraging Azure Synapse, AI Search and LLM-based analytics.
  • Experience designing vector databases (Pinecone, FAISS, Weaviate, ChromaDB) and AI-powered workflow models.

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