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Artificial Intelligence Architect
2 weeks ago
We are seeking a talented Lead AI Engineer to join our team.
The successful candidate will have expertise in GenAI application development, domain model fine-tuning capabilities, LLMOps proficiency, data engineering for AI applications, AI-ready cybersecurity knowledge, and genAI guardrails and ethics.
Key Responsibilities:- 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
- 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
- Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions
- Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana
- 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
- 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
- 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
- Bleu, Rouge, Perplexity, BERT-Score etc.,