
Leading AI Development Specialist
4 days ago
We are looking for an AI Development Expert to join our team.
The ideal candidate will have expertise in GenAI Application Development, Domain Model Fine-Tuning, and LLMOps Proficiency. Additionally, they should have knowledge of Data Engineering for AI Applications, AI-Ready Cybersecurity, and GenAI Guardrails and Ethics.
- Responsibilities:
- Develop and implement AI models using GenAI Application Development techniques.
- Fine-tune domain models using various libraries and frameworks.
- Implement LLMOps processes to ensure efficient and secure model deployment.
Requirements:
- 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
Benefits:
- Opportunity to work on cutting-edge AI projects.
- Collaborative and dynamic work environment.
- Continuous learning and professional growth opportunities.
Others:
- Monitoring & Evaluation: Bleu, Rouge, Perplexity, BERT-Score etc.,
-
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