Role: Computer Vision Engineer
Role Snapshot
Quantaleap is looking for a hands‑on Computer Vision Engineer who can design, train, and deploy deep‑learning models that power real‑time image and video analytics. You’ll collaborate with product, data, and backend teams—so clear, proactive communication is essential.
Key Responsibilities
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Research & prototype Computer Vision algorithms (anomaly detection, object detection, tracking, segmentation).
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Create end to end image processing and computer vision pipelines.
- Train, fine‑tune, and optimise CNN/Transformer models in PyTorch or TensorFlow.
- Package and deploy models to cloud or edge environments with Docker/Kubernetes.
- Automate data pipelines for image/video collection, augmentation, and annotation.
- Monitor model performance in production; drive continuous improvement.
- Document findings and present results to technical and non‑technical stakeholders.
Must‑Have Skills
- 3–5 yrs building computer‑vision solutions in production.
- Strong grasp of Computer Vision and Deep Learning concepts (CNNs, Vision Transformers like YOLO).
- Proficiency with PyTorch/TensorFlow, OpenCV, and Python.
- Experience deploying models via REST/GRPC APIs or on‑device.
- Excellent written and verbal communication; able to explain complex ideas simply.
Nice‑to‑Have
- Knowledge of CUDA, TensorRT, or other inference‑time optimisers.
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Experience with AWS/GCP ML services, streaming data (Kafka, Kinesis).
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Experience with Agentic AI implementation
- Familiarity with MLOps best practices (CI/CD, model versioning).
Job Category: AI Development Computer Vision
Job Type: Full Time
Job Location: Bangalore Delhi NCR Gurugram Hyderabad Remote