Technical Lead (GenAI
Listed on 2026-08-22
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect, Cloud Engineer - Software
8+ years of hands-on technical experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams, including GenAI, machine learning, and cloud infrastructure.
Hands-on Experience in designing and developing large-scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud-native applications.
Programming
Languages:
Proficiency in Python, JavaScript, Java, or other backend languages. Experience with API development (RESTful APIs, GraphQL).
Machine Learning & AI:
Extensive experience in building and deploying ML models using Tensor Flow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications.
Hands on experience in GCP/Data Engineering/Dev Ops
The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud-native infrastructure.
Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).