Sr. AI Engineer / Sr. Machine Learning Engineer

at  SmartAssets

SmartAssets 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.

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.

Education

• Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.

Experience

• Extensive experience in applying theoretical knowledge in practical scenarios through traditional employment, freelance projects, open-source contributions, or coding bootcamps.
• Demonstrated leadership experience in AI and machine learning projects.

Note: 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.

• 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.