GenAI Architect (Generative AI)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GenAI Architect (Generative AI) with a remote work location, focused on LLMs, model tuning, and prompt engineering. Key skills include Python, PyTorch, TensorFlow, and experience with data engineering workflows. Contract length and pay rate are unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
May 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#NumPy #SQL (Structured Query Language) #Spark (Apache Spark) #API (Application Programming Interface) #ML (Machine Learning) #Reinforcement Learning #Langchain #Scala #Data Engineering #Pandas #Python #Generative Models #Monitoring #Deployment #AI (Artificial Intelligence) #PyTorch #Transformers #"ETL (Extract #Transform #Load)" #Data Science #Unsupervised Learning #Programming #Airflow #Databases #Supervised Learning #TensorFlow #Conda
Role description
Hi I hope you are doing well. We have an urgent position listed below. Please send your most recent resume along with the expected rate if you are interested. Title: GenAI Architect Location: Remote Job Description: Primary Skills: (AI Data Scientist) β€’ Deep Expertise in the following: β€’ Large Language Models (LLMs) and Multimodels β€’ Foundation Model Architectures (Transformers, Encoder/Decoder) β€’ API integration from providers like (e.g., Open, Cohere). β€’ Model tuning pipeline development β€’ Prompt engineering β€’ Reinforcement learning from human feedback (RLHF). β€’ Frameworks : PyTorch, TensorFlow,LangChain, LlamaIndex β€’ Strong programming skills in Python, and experience with data engineering workflows (Spark, Airflow, SQL). β€’ Hands on experience in β€’ Fine-tuning & Prompt Engineering (LoRA, PEFT) β€’ Retrieval-Augmented Generation (RAG) pipelines β€’ Python: NumPy, Pandas, Scikit-learn, HuggingFace, OpenAI API β€’ Knowledge of AI ethics, explainability, and governance in generative models Secondary skills: β€’ Experience with vector databases (e.g., FAISS, Weaviate, Pinecone) and scalable RAG systems β€’ Familiarity with GPU compute infrastructure and distributed model training β€’ MLOps for LLMs: Deployment, Monitoring, Versioning β€’ Classical Machine learning like Supervised Learning, UnSupervised learning models -- Thanks & Regards, SHIV PRASAD Raas Infotek Corporation. 262 Chapman Road, Suite 105A, Newark, DE -19702 Direct No: 302-286-9858 Ext: 114 Email: Shiv.prasad@raasinfotek.com