
AI Engineering Lead
2 weeks ago
About the Opportunity
This role involves leading a team of engineers to develop and implement AI solutions.
Responsibilities
- Team Leadership
- Manage a cross-functional team to design, develop, and deploy scalable AI models.
- Research and Development
- Conduct research to determine the best AI models and solutions for integration into existing systems.
- Technical Expertise
- Provide technical leadership and mentorship to team members.
- Collaboration
- Work with stakeholders to align AI initiatives with overall product vision and business strategy.
- Talent Management
- Recruit, onboard, and train AI talent to build a high-performance team.
- Architecture and Roadmap
- Define the AI architecture and technical roadmap, ensuring seamless integration into cloud-based platforms and existing systems.
- Lifecycle Management
- Own the end-to-end lifecycle of AI feature development, from ideation to deployment.
- MLOps
- Establish MLOps practices for continuous training, evaluation, deployment, and monitoring of AI models.
- Compliance
- Ensure compliance with data privacy regulations, ethical AI practices, and internal security standards.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or Mathematics
- 5+ years' of relevant experience
- Advanced knowledge of leading architecture solutions in the industry area
- Strong interpersonal and collaboration skills
- Ability to demonstrate technical concepts to non-technical audiences
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