| Senior Generative AI-ML Engineer :: USA (Remote) at Remote, Remote, USA |
| Email: [email protected] |
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From: Mahender Singh, Digitaldhara [email protected] Reply to: [email protected] Title: Senior Generative AI/ML Engineer Location: Remote (Prefer profiles from PST) Exp: 10+ years Job Experience Requirements: 10+ years Proficiency in Python and experience with Langchain, pyspark, PyTorch, Tensorflow, Streamlit and other relevant tools Prompt Engineering and AI Chatbot Acumen: Developing sophisticated AI chatbot solutions, including QA/chatbots, translation, and search/summarization functionalities. 5+ years of experience in GenAI Foundation Models and Vector DB: Leveraging foundational AI models and vector database technologies (multi vector) for advanced AI capabilities. 5+ years of experience in RAG (Retrieval-Augmented Generation) and Model Fine Tuning: Employing RAG techniques for enhanced AI responses and fine-tuning AI models for optimal performance. Use of Orchestration Tools: Utilizing advanced tools like Semantic Kerner, Langchain, and others for efficient AI model management. Expertise in either OpenAI or Google Vertex and/or other models from Hugging face for implementing advanced language models. Managing high availability and efficient deployment of cloud-native applications Experience with hosting LLMs on-premises. Experience with GitOps principles and tools, such as Git, Tekton, Flux, or ArgoCD, for managing infrastructure and application deployments. Strong problem-solving skills and the ability to work in a collaborative and fast-paced environment. 5+ years of experience in Automated Artificial Intelligence Tools 5+ years of experience in Machine Learning / AI 5+ years of experience in AWS, Azure, and other Cloud Platforms. 5+ years of experience in Docker and Kubernetes Bachelors or masters degree in computer science, AI, or a related field [email protected] Keywords: quality analyst artificial intelligence machine learning database |
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| 06:09 PM 21-Mar-24 |