Job Role : Gen AI Architect
Experience : 8 to 15 Years
Location : Bengaluru, Hyderabad, Chennai, Mumbai
Must Have :
- GenAI Application Development Expertise
- 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
2. 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 Datasets3. LLMOps Proficiency
Infrastructure & CI / CD : DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub ActionsMonitoring & Management : Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana4. Data Engineering for AI Applications
Data Processing & Management : Python, Apache Spark, Apache Kafka, AWS S3, Azure Data Lake Storage (ADLS), Delta LakeWorkflow Automation : Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great ExpectationsData Catalogs : Amundsen, Collibra, Alation5. AI-Ready Cybersecurity Knowledge
Threat Modeling & Security : AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security ToolsMonitoring & Prevention : AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries6. GenAI Guardrails and Ethics
Ethics & Fairness : AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics LibrariesPrivacy & Security : Privacy-Preserving Machine Learning Libraries, Robustness and Security ToolsTransparency & Governance : Model Interpretability Libraries, AI Governance Frameworks and Tools7. Monitoring & Evaluation :
Bleu, Rouge, Perplexity, BERT-Score etc.,