Lead AI Engineer at SmartAssets shaping the future of AI-driven advertising solutions. Develop and optimize models, mentor engineers, and integrate AI technologies with workflows.
Responsibilities
Lead the development and deployment of advanced AI and machine learning models to support and enhance our workflows.
Collaborate with cross-functional teams to integrate AI technologies with other system components.
Ensure the scalability, efficiency, and robustness of AI solutions.
Oversee the maintenance and improvement of existing AI features, adapting to new technologies and methodologies.
Conduct and participate in code and design reviews to uphold high-quality standards.
Mentor and guide junior AI engineers, fostering a collaborative and growth-oriented environment.
Drive the analysis and measurement of ad-hoc studies, measuring marketing effectiveness and providing actionable insights.
Requirements
Extensive experience with version control tools, preferably Git.
Proficiency in Docker and container orchestration.
Advanced 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 principles.
Experience in deploying AI models in a production environment.
Proven ability to collaborate effectively with cross-functional teams and manage project timelines.
Exceptional problem-solving skills and meticulous attention to detail.
Deep understanding of data science fundamentals and experience with statistical analysis.
Demonstrated experience in leading and mentoring technical teams.
Preferred Skills (Bonuses)
Experience with cloud computing platforms (GCP) and their AI services.
Familiarity with front-end technologies for AI-driven application development.
Advanced understanding of data engineering and the ability to work with large datasets.
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