AI Engineer II

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Finance of America

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🛡️ Insurance

💸 Finance

🏦 Banking

Insurance • Finance • Banking

<Finance of America> Finance of America is a U. S. -based mortgage lender specializing in reverse mortgages and home equity solutions for older homeowners. The company offers proprietary and government-backed products (including HomeSafe and HECM), lines of credit and loans up to $4M, borrower education and calculators, and partner tools for financial professionals and wholesale partners. It is a licensed mortgage banker focused on helping homeowners (typically 55+) access home equity for retirement, home improvements, or living expenses while providing consumer protections and counseling.

📋 Description

• Design, develop, and deploy AI-powered solutions across the company • Develop, train, and optimize machine learning and deep learning models • Build AI-driven applications and tools integrating machine learning, natural language processing, and computer vision • Clean, transform, and augment structured and unstructured data and implement feature extraction • Gather business requirements and translate business needs into AI-driven solutions • Deploy AI models to production using cloud infrastructure, containerization, and MLOps practices • Monitor model performance, analyze drift, and retrain models proactively • Apply fairness-aware algorithms, explainability techniques, and bias detection methods • Research AI trends, academic papers, emerging technologies, and industry best practices • Create technical documentation, guides, tutorials, presentations, and training materials • Perform other duties as assigned • Report to the Chief Data Officer

🎯 Requirements

• Minimum 4 years of hands-on experience developing, training, and deploying AI/ML models • Strong proficiency in TensorFlow, PyTorch, Scikit-Learn, or similar machine learning frameworks • Proficiency in Python, R, or Julia • Experience with AWS SageMaker, Azure AI, or 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 for explaining AI concepts to non-technical stakeholders • Experience with large datasets and data pipelines • Bachelor's Degree or comparable qualifications • Computer Science, Information Security, Management of Information Systems, or related field preferred

🏖️ Benefits

• Health insurance • Dental insurance • Vision insurance • Life insurance • Paid time-off benefits • Flexible spending account • 401(k) with employer match • Employee Stock Purchase Plan (ESPP)