Chief Gen AI Architect

1 week ago


Thoothukudi, Tamil Nadu, India beBeecyber Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Expertise in Gen AI Application Development, Domain Model Fine-Tuning, LLMOps, Data Engineering for AI Applications, AI-Ready Cybersecurity Knowledge, and GenAI Guardrails and Ethics is required.

Key Responsibilities:
  • GenAI Application Development:
    • Programming Languages: Python
    • Development Tools: LangChain, LlamaIndex, LangFlow, Langgraph, LangSmith, Flowise
    • Techniques: RAG Techniques
    • Databases: Vector Databases (Pinecone, Weaviate, Qdrant)
    • Additional Technologies: Knowledge Graphs, FastAPI, Streamlit, Gradio
  • Domain Model Fine-Tuning Capabilities:
    • Languages & Libraries: Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J)
    • Tokenization & Frameworks: Tokenizers (SentencePiece, Hugging Face Tokenizers), Fine-tuning Frameworks (Hugging Face Transformers, PyTorch Lightning)
    • Datasets: HuggingFace Datasets, TensorFlow Datasets
  • LLMOps Proficiency:
    • Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions
    • Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana
  • Data Engineering for AI Applications:
    • Data Processing & Management: Python, Apache Spark, Apache Kafka, AWS S3, Azure Data Lake Storage (ADLS), Delta Lake
    • Workflow Automation: Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great Expectations
    • Data Catalogs: Amundsen, Collibra, Alation
  • AI-Ready Cybersecurity Knowledge:
    • Threat Modeling & Security: AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security Tools
    • Monitoring & Prevention: AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries
  • GenAI Guardrails and Ethics:
    • Ethics & Fairness: AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics Libraries
    • Privacy & Security: Privacy-Preserving Machine Learning Libraries, Robustness and Security Tools
    • Transparency & Governance: Model Interpretability Libraries, AI Governance Frameworks and Tools
  • Monitoring & Evaluation:
    • Bleu, Rouge, Perplexity, BERT-Score etc.

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