Gen AI Architect

3 weeks ago

New Delhi, India Tata Consultancy Services Full time

Job Role: Gen AI Architect Experience :8 to 15 Years Location :Bengaluru, Hyderabad, Chennai, MumbaiMust 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 Datasets 3.LLMOps Proficiency Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana 4.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 5.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 6.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 7.Monitoring & Evaluation: Bleu, Rouge, Perplexity, BERT-Score etc.,

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