Machine Learning Engineer

About the jobSmartAssets 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.About SmartAssets:Incubated 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.Our Values: Collaboration. 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 transparencyCuriosity. 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 knowCommitment. 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 dayKey ResponsibilitiesLead the development and deployment of advanced AI and machine learning models to support and enhance our workflowsCollaborate with cross-functional teams to integrate AI technologies with other system componentsEnsure the scalability, efficiency, and robustness of AI solutionsOversee the maintenance and improvement of existing AI features, adapting to new technologies and methodologiesConduct and participate in code and design reviews to uphold high-quality standardsMentor and guide junior AI engineers, fostering a collaborative and growth-oriented environmentDrive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insightsRequirementsExtensive experience with version control tools, preferably GitProficiency in Docker and container orchestrationAdvanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)Strong understanding of algorithms, data structures, and software engineering principlesExperience in deploying AI models in a production environmentProven ability to collaborate effectively with cross-functional teams and manage project timelinesExceptional problem-solving skills and meticulous attention to detailDeep understanding of data science fundamentals and experience with statistical analysisDemonstrated experience in leading and mentoring technical teamsPreferred Skills (Bonuses)Experience with cloud computing platforms (GCP) and their AI servicesFamiliarity with front-end technologies for AI-driven application developmentAdvanced understanding of data engineering and the ability to work with large datasetsEducationMaster's or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experienceExperienceExtensive experience in applying theoretical knowledge in practical scenarios through traditional employment, freelance projects, open-source contributions, or coding bootcampsDemonstrated leadership experience in AI and machine learning projectsNote: 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.