Senior Computer Vision Engineer

Snap2Insight; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Snap2Insight in Bengaluru is seeking an experienced Senior Computer Vision Engineer to design and productionize CV/ML models for shelf analysis, product recognition, and synthetic data generation.

You will join a lean product team bridging R&D and production, implementing ML model training and deployment, and integrating vision outputs into our web-based analytics dashboard to deliver real-time and batch insights. The role offers growth in ML systems and cloud-scale deployment.

Qualifications

• 2–4 years in computer vision or applied ML.
• Experience with CV/AI tasks and training CV/AI models.
• Proficiency with PyTorch or TensorFlow.
• Production deployment of CV models into production environments.
• Strong Python and ML libraries familiarity.

Responsibilities

• Design, prototype, and productionize CV models for core business scenarios (shelf analysis, product recognition, synthetic data generation).
• Train and fine-tune CV models on complex datasets for high-accuracy results.
• Optimize CV inference pipeline for latency and throughput in cloud environments.
• Collaborate with cross-functional teams to add new CV features.
• Define data curation strategies and coordinate with data labeling teams.
• Integrate ML models into end-to-end product flow with real-time and batch inference.
• Establish MLOps practices with automated training, versioning, and drift detection.
• Drive innovation through experimentation and new model architectures.
• Mentor junior engineers on ML features and best practices.

Skills

Computer vision

ML frameworks

Python

Production deployment

Cloud experience

Education

BS/MS in CS/EE/ML

Tools

Docker

Kubernetes

Kubeflow

MLflow

Azure ML / GCP AI Platform

Job description

Overview

We are looking for an experienced Senior Computer Vision Engineer (2-4 years experience) who has relevant experience in deep-learning, computer vision (CV), image processing, and machine learning. You will advance our next-generation field data capture and analysis platform. In this role, you will design and implement ML/CV models that extract intelligence from images, including shelf compliance, product recognition, and synthetic data generation for training and QA. You will work within a lean product engineering team, bridging R&D with production. You can expect to iterate quickly, incorporate customer feedback, and contribute across the stack—from ML model training and deployment to integrating vision outputs into our web-based analytics dashboard. If you were waiting for the perfect opportunity to unleash your potential in AI, be part of a fun team to create immediate impact in solving real world problems, and have the credentials, we would love to hear from you!

About Snap2Insight

Snap2Insight is a well funded AI company using breakthrough computer vision and machine learning technologies to solve some of the biggest opportunities in the retail sector. We are based out of the US / India, and have a vibrant team culture where we learn, accomplish and have fun as a team.

Responsibilities

• As a Senior CV Engineer, you will take ownership of designing, prototyping, and productionizing computer vision models for core business scenarios (shelf analysis, product recognition, and synthetic data generation)
• Train and fine-tune CV models with complex data sets, ensuring the delivery of high-accuracy, production-ready results
• Lead the optimization of the CV inference pipeline for latency, throughput, and cloud resource utilization
• Architect and develop new CV features in collaboration with cross-functional teams based on evolving customer requirements
• Define data curation strategies and work closely with the in-house data labeling team to ensure high-quality training datasets
• Integrate ML models robustly into the end-to-end product flow, supporting real-time and batch inference via cloud-hosted endpoints
• Establish and maintain MLOps best practices, building automated continuous training pipelines, model versioning, and drift detection
• Drive innovation through proactive experimentation, prototyping novel model architectures and state-of-the-art training strategies
• Mentor and provide technical guidance to junior engineers on ML-related features and best practices

Requirements

• 2-4 years of professional experience in computer vision or applied machine learning
• Demonstrated experience working on CV-AI tasks and using/training CV-AI models
• Deep expertise in ML frameworks such as PyTorch or TensorFlow
• Proven track record of deploying computer vision models into production environments
• Strong programming skills in Python and familiarity with ML-related libraries and tools
• Excellent logical thinking, analytical skills and attention to detail
• Ability to write structured and production quality code
• Ability to quickly debug and resolve issues
• Open to working in a fast paced environment
• Experience working on cloud environment
• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or a related quantitative field
• Able to join within 30 days of accepting our offer

Nice to Have

• Experience with object detection, image segmentation, and classification tasks
• Familiarity with cloud ML platforms (Azure ML, GCP AI Platform)
• Knowledge of containerization (Docker) and orchestration (Kubernetes)
• Understanding of MLOps principles and tools (MLflow, Kubeflow)
• Experience with synthetic data generation techniques and tools
• Prior work in CPG analytics or retail technology

Why Snap2Insight

• High Impact: You will be a foundational member of the team, heavily influencing our technology choices and product direction.
• Cutting-Edge Roadmap: Opportunities to work on integrating advanced Computer Vision and AI directly into our retail analytics products.
• Culture: A culture of transparency, collaboration, and mutual respect.