AI Engineer / Machine Learning

know.\u003c/li\u003e \u003cli\u003eCommitment. Bringing innovation to the market requires belief and drive. We have incredible momentum and great backing. We must remain committed to making SmartAssets the success we know it can be, focusing on what clients really need and delivering against that every single day.\u003c/li\u003e \u003c/ol\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eKey Responsibilities\u003c/strong\u003e\u003c/p\u003e\u003cul\u003e \u003cli\u003eLead the development and deployment of advanced AI and machine learning models to support and enhance our workflows.\u003c/li\u003e \u003cli\u003eCollaborate with cross-functional teams to integrate AI technologies with other system components.\u003c/li\u003e \u003cli\u003eEnsure the scalability, efficiency, and robustness of AI solutions.\u003c/li\u003e \u003cli\u003eOversee the maintenance and improvement of existing AI features, adapting to new technologies and methodologies.\u003c/li\u003e \u003cli\u003eConduct and participate in code and design reviews to uphold high-quality standards.\u003c/li\u003e \u003cli\u003eMentor and guide junior AI engineers, fostering a collaborative and growth-oriented environment.\u003c/li\u003e \u003cli\u003eDrive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insights.\u003c/li\u003e \u003c/ul\u003e\u003cp\u003e\u003cstrong\u003eRequirements\u003c/strong\u003e\u003c/p\u003e\u003cul\u003e \u003cli\u003eExtensive experience with version control tools, preferably Git.\u003c/li\u003e \u003cli\u003eProficiency in Docker and container orchestration.\u003c/li\u003e \u003cli\u003eAdvanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).\u003c/li\u003e \u003cli\u003eStrong understanding of algorithms, data structures, and software engineering principles.\u003c/li\u003e \u003cli\u003eExperience in deploying AI models in a production environment.\u003c/li\u003e \u003cli\u003eProven ability to collaborate effectively with cross-functional teams and manage project timelines.\u003c/li\u003e \u003cli\u003eExceptional problem-solving skills and meticulous attention to detail.\u003c/li\u003e \u003cli\u003eDeep understanding of data science fundamentals and experience with statistical analysis.\u003c/li\u003e \u003cli\u003eDemonstrated experience in leading and mentoring technical teams.\u003c/li\u003e \u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003ePreferred Skills (Bonuses)\u003c/p\u003e\u003cul\u003e \u003cli\u003eExperience with cloud computing platforms (GCP) and their AI services.\u003c/li\u003e \u003cli\u003eFamiliarity with front-end technologies for AI-driven application development.\u003c/li\u003e \u003cli\u003eAdvanced understanding of data engineering and the ability to work with large datasets.\u003c/li\u003e \u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eLanguages\u003c/p\u003e\u003cul\u003e\u003cli\u003eEnglish \u0026amp; Spanish\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eEducation\u003c/p\u003e\u003cul\u003e\u003cli\u003eMaster's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.\u003c/li\u003e\u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eExperience\u003c/p\u003e\u003cul\u003e \u003cli\u003eExtensive experience in applying theoretical knowledge in practical scenarios through traditional employment, freelance projects, open-source contributions, or coding bootcamps.\u003c/li\u003e \u003cli\u003eDemonstrated leadership experience in AI and machine learning projects.\u003c/li\u003e \u003c/ul\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eNote\u003c/strong\u003e: Successful applicants will receive a coding challenge to evaluate their programming knowledge and skills as outlined in this job description. This step is an essential part of our selection process to ensure a good match with our team's needs and the demands of the role.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\n\u003c/div\u003e\n","employmentType":"FULL_TIME","industry":"Startups","occupationalCategory":"15-1132.00 Software Developers, Application","title":"AI Engineer / Machine Learning

[{"@context":"http://schema.org","@type":"JobPosting","datePosted":"2025-11-13T00:00:00Z","description":"\u003cdiv class=\"trix-content\"\u003e\n \u003cp\u003eSmartAssets is on the lookout for an experienced and innovative Lead AI Engineer to join our dynamic team. In this role, you will take a leadership position in developing and optimizing AI-driven features, guiding junior engineers, and ensuring the robustness and scalability of our AI solutions. You will play a pivotal role in shaping our platform's future by leading new projects and enhancing existing functionalities.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eAbout SmartAssets:\u003c/strong\u003e\u003c/p\u003e\u003cp\u003eIncubated within the Stagwell Marketing Cloud, our AI platform empowers brands and creative agencies to produce high-quality advertising content by providing insight into the effectiveness of their creative choices. As part of the Stagwell Marketing Cloud, we leverage industry-leading technology and enjoy privileged access to agencies across the advertising spectrum.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eOur Values:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\u003col\u003e \u003cli\u003eCollaboration. We believe that bringing together different and varied expertise delivers results greater than the sum of their parts. Part of collaboration is ensuring we challenge each other constructively. This way we ensure that what we are building is really robust, and that we have mutual understanding and transparency.\u003c/li\u003e \u003cli\u003eCuriosity. We want to know why an ad works or doesn't work. We want to get under the skin of what engages and audience and moves them to action. We believe that data is key to the creative process and enables us to really celebrate excellence in advertising. Something not working is still a valuable data point, which we embrace, bringing science into the art of advertising. We want to know what we don't