GEN AI ARCHITECT

JOB ROLE : Gen AI Architect

Experience : 9-15 Years

Location : Bangalore ,Hyderabad, Mumbai ,Pan India

Key Responsibilities:

• Be an expert source on machine learning to drive delivery of new and innovative solutions.
• Propose creative solutions to approach business solutions with emerging technologies.
• Prototype new ways of applying technologies for solving business problems.
• Educate others so that they can demonstrate innovative methods for achieving outcomes.
• Build and maintain machine learning principles, best practices, and code accelerators.
• Conduct external research and internal experimentation for machine learning techniques.
• Champion solution delivery behaviors and approaches from software engineers that accelerate delivery of reliable solutions and create a culture of teamwork.
• Analyze and communicate strategy, status, and product roadmaps to multiple audiences, including all levels of management.

Must Have :

1. 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

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.,