AI/Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/Machine Learning Engineer on a 12-month remote contract, requiring 3+ years of LLM and NLP experience, proficiency in Python and ML frameworks, and expertise in GCP Vertex AI. Availability to work in PST time zone is essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 26, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#PyTorch #Deployment #Model Deployment #Databases #NLP (Natural Language Processing) #Python #GCP (Google Cloud Platform) #Cloud #TensorFlow #Programming #ML (Machine Learning) #Data Processing #AI (Artificial Intelligence)
Role description
AI/Machine Learning Engineer for Remote for a 12-month Contract with possible extensions. Williness to work with manager in PST time zone. Responsibilities: • Design develop and deploy advanced AI solution. • Work with Cloud Platforms Vertex AI and leverage Python to enhance backend and integrate to Frontend Chat • Enhance and integrate with chat-based client Required Skills: • 3 years’ experience with LLM and NLP • Hands on experience with RAG workflows including vector databases and semantic search. • Experience developing efficient and accurate RAG layer • Experience integrating a chat-based client • Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch,). • Experience with cloud platforms, specifically GCP Vertex AI (e.g., Gemini 2.0 or Amazon Bedrock • Experience with multimodal AI models (e.g., processing text, images, or video). • Strong Python programming skills for model development and data processing. • Familiarity with text embeddings, vector databases, and retrieval systems. • Experience with APIs for model deployment and integration (e.g., Vertex AI SDK, Bedrock APIs).