Computer Vision Engineer

Quantaleap Inc.; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Quantaleap Inc. is seeking a skilled Computer Vision Engineer to design, train, and deploy deep-learning models for real-time image and video analytics. This role requires a strong background in computer vision and deep learning, particularly with tools like PyTorch and TensorFlow, and emphasizes clear communication with various teams. Key responsibilities include researching algorithms, creating image processing pipelines, and deploying models in cloud or edge environments. Applicants should have 3-5 years of related experience and a proactive approach to problem-solving.

Qualifications

• 3-5 years building computer vision solutions in production.
• Strong grasp of computer vision and deep learning concepts.
• Experience deploying models via REST/GRPC APIs or on-device.

Responsibilities

• Research & prototype computer vision algorithms.
• Create end-to-end image processing and computer vision pipelines.
• Monitor model performance in production.

Skills

computer vision solutions

deep learning

PyTorch

TensorFlow

OpenCV

Python

communication

Tools

Docker

Kubernetes

REST APIs

GRPC APIs

AWS ML services

GCP ML services

Job description

Role: Computer VisionEngineer

Role Snapshot

Quantaleap is looking for ahands‑onComputer VisionEngineerwho 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—soclear, proactive communicationis essential.

Key Responsibilities

• Research & prototypeComputer Visionalgorithms (anomaly detection, object detection, tracking, segmentation).
• Create end to end image processing andcomputer visionpipelines.
• Train, fine‑tune, and optimiseCNN/Transformer models in PyTorch or TensorFlow.
• Package and deploymodels to cloud or edge environments with Docker/Kubernetes.
• Automate data pipelinesfor image/video collection, augmentation, and annotation.
• Monitor model performancein production; drive continuous improvement.
• Document findingsandpresent resultsto technical and non‑technical stakeholders.

Must‑Have Skills

• 3–5yrs buildingcomputer‑visionsolutions in production.
• Strong grasp ofComputer VisionandDeep Learningconcepts (CNNs, Vision Transformers like YOLO).
• Proficiency withPyTorch/TensorFlow,OpenCV, andPython.
• Experience deploying models viaREST/GRPC APIsor on‑device.
• Excellent written and verbal communication; able to explain complex ideas simply.

Nice‑to‑Have

• Knowledge ofCUDA, TensorRT, or other inference‑time optimisers.
• Experience withAWS/GCPML services, streaming data (Kafka, Kinesis).
• Experience with Agentic AI implementation
• Familiarity withMLOpsbest practices (CI/CD, model versioning).