Data scientist role focusing on GenAI at Fidelity. Leading machine learning projects and collaborating with business and technology partners to deliver impactful solutions.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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