AI Lead Engineer
- Leads the technical implementation of AI solutions, often coordinating and mentoring a team of engineers.
- Acts as the technical expert for specific AI/ML projects, ensuring best practices, code quality, and performance optimization
- Oversees the end-to-end development lifecycle, including prototyping, R&D, deployment, and maintenance of AI/ML systems.
- Translates project requirements into actionable engineering tasks, managing risk, resource allocation, and timelines.
- Acts as the technical interface between business/product stakeholders and the engineering team.
- Drives the adoption of modern engineering workflows (e.g., CI/CD, Agile, cloud deployment).
- Leads the team developing a natural language processing system, ensures model performance, mentors staff, oversees best practices, and coordinates cross-functional bug fixes
Technical
Deep AI/ML engineering, hands-on coding, optimization, deployment
Leadership
Team leadership, mentoring, project delivery
Communication
Technical guidance, constructive feedback
Focus
Delivery & execution
Main Output
Working AI/ML solutions, team performance
Works With
Engineering teams, product managers
Decision Impact
Project/module level
If interested, Please share your updated resume with me at [Confidential Information]. I'll get back to you shortly with next steps.
Current CTC
Expected CTC
Notice Period
Looking forward to connecting!
