Home Lending Data & Analytics - Applied AI/ML EngineerAumni • Jacksonville, Florida, United States
Home Lending Data & Analytics - Applied AI/ML Engineer
Aumni
- Jacksonville, Florida, United States
- Jacksonville, Florida, United States
À propos
Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives
Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies
Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance
Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise
Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows
Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices
Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders
Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency
Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement
Required qualifications, capabilities, and Skills
7+ years of work experience.
Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc
Proven track record of delivering projects in the AI/ML and data analytics space
Proficiency in Python.
Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents.
Strong understanding of software engineering principles and practices, including version control, testing, and code optimization
Technical documentation experience preferred.
Preferred qualifications, capabilities and skills
Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
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Compétences linguistiques
- English
Avis aux utilisateurs
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