Artificial Intelligence Engineer - GCP

Key Responsibilities :

• Hands-on Solution Architecture : Architect, design, develop, and deploy end-to-end, production-grade AI / ML and data analytics solutions on GCP. This includes writing code for critical modules and frameworks.
• Technical Implementation : Lead the implementation of complex projects, including building scalable data pipelines, developing and optimizing ML models, and ensuring the technical integrity of the final solution.
• Technical Mentorship : Act as the lead technical mentor for the AI & Data team. Conduct code reviews, establish best practices in software engineering and MLOps, and guide engineers in solving complex technical challenges.
• Client Technical Advisory : Serve as the primary technical expert during client engagements. Directly interface with client-side architects and engineers to design and troubleshoot complex systems for national and international clients.
• Prototyping & Innovation : Lead proof-of-concept (PoC) development and rapid prototyping to demonstrate the feasibility of new AI solutions and technologies for enterprise-scale problems.
• Performance Optimization : Identify and resolve performance bottlenecks in data processing, model training, and inference to ensure solutions are highly optimized and efficient.

Must-have Skills & Qualifications :

Good-To-Have (Preferred) :

Why Join us?