AI Engineer II

Finance of America•,

1d•$130,000 - $150,000

About The Position

Finance of America helps homeowners 55+ access the equity they’ve built while staying in full control of their home and their financial future. Through a range of reverse mortgage solutions, we help customers shape the retirement they’ve earned while continuing to evolve how we serve and work together. Joining Finance of America now means stepping into a period of momentum and growth, with teams actively shaping what comes next and opportunities to make an impact and grow your career. To learn more about us, visit www.financeofamerica.com. 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.

Requirements

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.

Nice To Haves

Computer Science, Information Security, Management of Information Systems or related field preferred.

Responsibilities

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 requirements, translating business needs into AI-driven solutions, and aligning technical implementations with organizational objectives to maximize value and impact.
Deploys AI models into production environments by utilizing cloud-based infrastructure, containerization, and MLOps best practices to ensure models are scalable, resilient, and seamlessly integrated into business workflows.
Continuously monitors AI models' performance by implementing tracking mechanisms, analyzing drift, and proactively retraining models to maintain accuracy and effectiveness.
Ensures AI solutions adhere to legal, regulatory, and ethical guidelines by applying fairness-aware algorithms, explainability techniques, and bias detection methods to promote responsible AI adoption and mitigate potential risks.
Stays updated on the latest AI trends, tools, and best practices by researching academic papers, experimenting with emerging technologies, and participating in industry conferences to drive continuous innovation and maintain a competitive edge.
Develops technical documentation, best practices, and training materials by creating detailed guides, tutorials, and presentations to support knowledge sharing, foster AI adoption across teams, and ensure smooth onboarding of new AI solutions.
Performs other duties as assigned.