Engineer Ai/ml

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own We have a flexible work environment and fluid career paths We not only encourage but celebrate internal mobility We also recognize the importance of purpose well-being and work-life balance Within Empower and our communities we work hard to create a welcoming and inclusive environment and our associates dedicate thousands of hours to volunteering for causes that matter most to them Chart your own path and grow your career while helping more customers achieve financial freedom Empower Yourself The AI ML Engineer is responsible for designing building and optimizing AI and machine learning solutions within the Generative AI Platform This role involves coding in Python and using relevant AI frameworks to develop scalable models and data pipelines By collaborating with cross-functional teams the AI ML Engineer ensures that the platform s AI capabilities meet technical and business objectives ESSENTIAL FUNCTIONS Model Development Deployment Build and deploy machine learning models using Python and relevant libraries e g TensorFlow PyTorch scikit-learn Optimize models for performance scalability and security Data Pipeline Management Collaborate with data engineers to design robust data pipelines for model training and inference Validate and preprocess datasets to ensure model accuracy and reliability Research Innovation Stay current on the latest AI ML trends and incorporate best practices into the platform Experiment with novel techniques in generative AI and provide recommendations for platform enhancements QUALIFICATIONS Bachelor s degree in Computer Science Data Science or related field Master s preferred 3 years of AI ML development experience Strong Python programming skills and familiarity with major AI ML frameworks Experience deploying models into production environments cloud or on-prem AI ML certifications from AWS Azure or Google Cloud are beneficial Strong analytical thinking and problem-solving Detail-oriented with an emphasis on model reliability and validation Excellent communication skills for cross-functional collaboration Occasional need to support after-hours release cycles or troubleshooting Authority to recommend new AI ML tools and frameworks for adoption Collaborates with product managers data engineers and QA teams May interface with external vendors for AI tools Normal Office Working Conditions Office based with potential for remote or hybrid This job description is not intended to be an exhaustive list of all duties responsibilities and qualifications of the job The employer has the right to revise this job description at any time You will be evaluated in part based on your performance of the responsibilities and or tasks listed in this job description You may be required to perform other duties that are not included on this job description The job description is not a contract for employment and either you or the employer may terminate employment at any time for any reason We are an equal opportunity employer with a commitment to diversity All individuals regardless of personal characteristics are encouraged to apply All qualified applicants will receive consideration for employment without regard to age race color national origin ancestry sex sexual orientation gender gender identity gender expression marital status pregnancy religion physical or mental disability military or veteran status genetic information or any other status protected by applicable state or local law