Senior AI Engineer
4 weeks ago
Job Title: Senior AI Engineer - AI Platform Development
About SmartAssets:
We are a dynamic team at SmartAssets, and we're looking for an experienced Senior AI Engineer to join us. As a key member of our team, you will play a pivotal role in developing and optimizing AI-driven features, guiding junior engineers, and ensuring the robustness and scalability of our AI solutions.
Key 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:
- 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.
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