Field Service Engineer

Business Manager - AI Hiring Specialist @ DeepRec.ai | B Corp - Fully SECO Licensed#BioTech #Bioinformatics #Pharma #LifeSciences

About the Company

Our client is an innovative real estate company committed to enhancing the way people interact with the real estate market. Their mission is to leverage cutting-edge technology to provide exceptional user experiences. They are building a state-of-the-art large language model (LLM) function for their website to revolutionize customer interactions and simplify property searches.

Role Overview

The client is seeking a highly skilled Machine Learning Engineer to develop, implement, and optimize a large language model for their platform. The role involves creating intelligent, user-focused solutions that transform the Real Estate experience. This position is fully remote, requiring availability during EU business hours.

Key Responsibilities

• Design, develop, and deploy LLM-based features tailored to the client's real estate platform.
• Implement Retrieval-Augmented Generation (RAG) techniques to enhance LLM performance and relevance.
• Fine-tune pre-trained models (e.g., GPT, Llama, etc.) to meet specific business and user needs.
• Integrate LLM capabilities into the client's website to enable natural language search, chatbot functionality, and personalized property recommendations.
• Collaborate with front-end and back-end development teams to ensure seamless integration of AI-powered solutions.
• Optimize model performance for speed, accuracy, and cost-efficiency.
• Conduct thorough testing and validation to ensure reliability and scalability.
• Stay informed of the latest advancements in machine learning and natural language processing.

Key Skills & Qualifications

• Proven experience in developing and deploying machine learning and NLP models, particularly large language models.
• Strong expertise in Python and ML frameworks / libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Hands-on experience with fine-tuning pre-trained LLMs for specific applications.
• Knowledge of Retrieval-Augmented Generation (RAG) and its implementation.
• Familiarity with APIs and integration of AI solutions into web applications.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying ML models.
• Strong analytical and problem-solving skills with a results-driven approach.
• Excellent communication and collaboration skills, especially in remote team environments.