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We are looking for a skilled Staff Engineer- Full Stack to drive the design, development, and deployment of robust web applications. This role is based in Bangalore and involves working on innovative solutions within the business services and recruitment industry.
The AI Instructor will be responsible for delivering high-quality training sessions and mentoring students in the field of artificial intelligence. This role is ideal for someone passionate about sharing knowledge and fostering learning in the technology & telecoms industry.
This role involves digitizing internal audit processes, ensuring compliance, and improving operational efficiency for the global organization with the location base as Bangalore.
Our client is a rapidly growing consumer platform serving millions of users worldwide. They operate at significant scale, and are now investing heavily in data-led, tailored platform to shape the next phase of their product evolution.
The Director of Product will lead the product strategy and execution within the FinTech sector, ensuring alignment with business objectives and market needs. This role requires expertise in digital product management within the Technology & Telecoms industry.
This role serves as the strategic nerve centre to the MD & CEO, driving institutional strategy, transformation initiatives, and cross-government coordination. It combines strategy, policy, execution, and stakeholder management in a high-visibility leadership-facing position
As a Engineering Leader, you will be responsible for building and maintaining scalable backend systems with a focus on delivering high-quality engineering solutions.This role is to architect and scale a data-intensive backend and AI platform from the ground up, owning systems design, infrastructure, and team development. You will lead a high-performing engineering and AI team while shaping product direction and building production-grade, scalable systems in a fast-paced startup.
A hands‑on Platform Engineer who builds scalable systems end‑to‑end, tackles production issues, and codes in the trenches. They must also lead small to mid‑sized engineering teams through the full development lifecycle with strong execution focus.
The role involves leading the design, development, and deployment of production‑grade AI/ML solutions while owning end‑to‑end delivery across multiple projects and mentoring a small team of engineers. It combines deep hands‑on technical work in areas like deep learning, NLP, computer vision, and MLOps with strong leadership and cross‑functional collaboration to deliver real‑world impact.
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