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 [HIDDEN TEXT] . I'll get back to you shortly with next steps.
Current CTC
Expected CTC
Notice Period
Looking forward to connecting!
Skills Required
Natural Language Processing, Cloud deployment, Resource Allocation, Performance Optimization, Agile, Prototyping, Deployment