AI Engineer II

Finance of America is dedicated to helping homeowners 55+ access their home equity while maintaining control of their financial future. The AI Engineer II role involves designing, developing, and deploying AI-powered solutions, focusing on building and fine-tuning AI models and collaborating with various teams to enhance business operations through AI-driven innovations. Responsibilities: Responsible for designing, developing, and deploying AI-powered solutions across the company; Focuses on building and fine-tuning AI models, creating scalable AI applications, and ensuring their seamless integration into business operations; Collaborates closely with data scientists, engineers, and business leaders to deliver AI-driven innovations that enhance efficiency, automation, and decision-making; Develops, trains, and optimizes machine learning and deep learning models by leveraging state-of-the-art algorithms, hyperparameter tuning, and advanced training techniques to address complex business challenges and improve decision-making processes; Builds AI-driven applications and tools by integrating machine learning models, natural language processing, and computer vision into software solutions to enhance automation, personalization, and intelligent insights for users and stakeholders; Works with structured and unstructured data by implementing data cleaning, transformation, feature extraction, and augmentation techniques to ensure high-quality datasets that maximize model accuracy and efficiency; Collaborates with business teams, IT, and data scientists by gathering Qualifications: Minimum 4 years of hands-on experience developing, training, and deploying AI/ML models; Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); Proficiency in programming languages such as Python, R, or Julia; Experience working with cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI); Knowledge of MLOps, model deployment, and API integration; Understanding of deep learning, NLP, computer vision, and other AI subfields; Strong problem-solving and critical-thinking skills; Ability to translate business problems into AI-driven solutions; Excellent communication skills to explain AI concepts to non-technical stakeholders; Experience working with large datasets and implementing data pipelines; Bachelor's Degree or comparable qualifications Required Skills: Machine learning, Deep learning, Natural language processing, Computer vision, TensorFlow, PyTorch, Scikit-Learn, Python, Julia, Cloud AI services, MLOps, Model deployment, API integration, Data pipelines