Manager (M3) - Sr Applied AI Engineer

Location: Mumbai, India

Department: AI

Experience: 6

• 6–8 years as an AI/ML Engineer, with sustained hands-on depth in computer vision or transformer-based models this is a building role, not an oversight one.
• Has taken multiple models from research to production and owned them post-launch through retraining, regressions, and incidents.
• Strong technical judgement on build vs. buy, fine-tune vs. prompt vs. classical ML able to defend the choice on cost, latency, and accuracy.
• Depth in either vision (classification, detection, segmentation, video, ViT/VLM) or language (LLM fine-tuning, embeddings, task adaptation), with the ability to design evaluation frameworks and data strategy around it.
• Proven ability to mentor engineers and turn ambiguous business problems into scoped, sequenced roadmaps.

• Fintech AI depth KYC, fraud, risk, or document intelligence at scale.
• Experience scaling GPU training and inference infrastructure with cost control.
• Exposure to model governance and explainability in a regulated environment.