[Remote] AI Consultant - Mortgage Domain

Note: The job is a remote job and is open to candidates in USA. Tavant is seeking a seasoned AI Consultant with expertise in machine learning and deep learning, specifically in the Mortgage Lending domain. The role involves designing, developing, and deploying AI solutions for enterprise customers, requiring a blend of technical skills and consulting experience. Responsibilities • Design, develop, and deploy AI solutions end-to-end. • Engage in pre-sales, solutioning, rapid prototyping, and demo building for enterprise customers. Skills • 12–15 years of total experience in AI/ML, including at least 2+ years in Generative AI, LLMs, or Agentic AI. • Strong expertise in machine learning, deep learning, NLP, and computer vision. • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, etc.). • Experience across AWS / Azure / GCP for AI solutioning and deployment. • Hands-on experience with containerization (Docker), orchestration (Kubernetes), and API development (FastAPI, Flask). • Familiarity with MLOps / LLMOps tools such as MLflow, Vertex AI Pipelines, Azure ML, or Kubeflow. • Deep understanding of mortgage lifecycle processes and use cases. • Excellent communication and presentation skills; ability to interface with CXOs and technical teams alike. • Experience in vector databases (Pinecone, Weaviate, FAISS, Azure AI Search). • Knowledge of Responsible AI practices, bias detection, and model interpretability. • Exposure to multi-agent architectures and enterprise AI governance. • MBA or domain certification in mortgage lending or financial services is a plus. Company Overview • Tavant specializes in software solutions and products powered by AI and ML algorithms. SLM and Warranty Management software It was founded in 2000, and is headquartered in Santa Clara, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.tavant.com. Company H1B Sponsorship • Tavant has a track record of offering H1B sponsorships, with 113 in 2025, 135 in 2024, 107 in 2023, 187 in 2022, 141 in 2021, 155 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job