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Sunday, March 8, 2026

Hiring: Senior AI/ML Engineer (Bengaluru) — Innovate, Build, Scale

 

Hiring: Senior AI/ML Engineer (Bengaluru) —  Innovate, Build, Scale

๐Ÿค– Hiring: Career Opportunity: Senior AI/ML Engineer (Computer Vision & GenAI) 

Location: Bengaluru (Bangalore)
Experience: 5–8 years
Compensation: ₹15L – ₹30L / year
Job Source: Cutshort.io

Role Overview

Hiring a Senior AI/ML Engineer with deep expertise in computer vision, generative AI, and production-grade ML systems. This is a hands-on role where you’ll build AI engines for automated image processing, generative content creation, intelligent workflows, and large-scale ML pipelines.

You’ll work across computer vision, generative models, automation, and ML infrastructure to deliver production-ready AI systems that directly impact millions of shoppers.

What You’ll Build

  1. Computer Vision & Image Understanding
    • Object detection, segmentation, and classification.
    • Automated background removal, image enhancement, and preprocessing.
    • Visual search systems, depth estimation, AR try-on, and multi-view analysis.
  2. Generative AI & Content Creation
    • Fine-tune diffusion models, GANs, and transformers.
    • Build text-to-image and image-to-image pipelines.
    • AI-based product descriptions, metadata generation, and synthetic data pipelines.
  3. Intelligent Automation & ML Systems
    • End-to-end automation for product catalog processing.
    • Recommendation and personalization models.
    • Automated workflows for quality control, moderation, and anomaly detection.
  4. Production ML Infrastructure
    • Deploy and optimize ML models on AWS.
    • Scalable inference pipelines with low latency.
    • CI/CD for ML, model versioning, monitoring, and drift detection.
  5. Research & Innovation
  • Experiment with GPT-4V, SAM, Diffusion models.
  • Prototype rapidly and integrate open-source tools.
  • Influence architecture decisions and share insights internally.

Technical Stack

  • Frameworks: PyTorch, TensorFlow, Hugging Face, OpenCV, YOLO, Detectron2, Stable Diffusion.
  • Infrastructure: FastAPI, ONNX, TorchScript, TensorRT, AWS SageMaker, Docker, Kubernetes.
  • Databases: PostgreSQL, Redis, MongoDB, Pinecone.
  • Languages: Python (primary), JavaScript/Node.js.
  • Nice to Have: 3D rendering pipelines, glTF/USDZ formats, Three.js, Unity/Unreal.

Must-Haves

  • 5–8+ years in AI/ML with strong computer vision background.
  • Deep expertise in PyTorch/TensorFlow.
  • Hands-on with diffusion models or GANs.
  • Strong Python skills and ML system design experience.
  • Cloud experience (AWS/GCP/Azure).
  • Proven track record of shipping ML-powered products.

๐Ÿ‘‰ Apply now 

๐Ÿ‘‰ Or use this Referral Link: Apply with Referral

๐ŸŒŸ Why Join?

  • Work across computer vision, generative AI, automation, and NLP.
  • High-impact role influencing millions of shoppers.
  • Culture of experimentation and rapid iteration.
  • Supported by Microsoft, NVIDIA, Google, and AWS.
  • Access to GPU compute, modern tooling, and research resources.


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