Senior Computer Vision Engineer

JMJ Consultants; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Snap2Insight in Bengaluru is seeking an experienced Senior Computer Vision Engineer to advance our field data capture and analytics platform. You will design and productionize ML/CV models for shelf analysis, product recognition, and synthetic data generation, bridging R&D with production in a lean team.

You will iterate quickly with customer feedback, train and deploy models, optimize inference latency, and contribute across the stack from model training to integration with our web analytics

Qualifications

• 2-4 years of professional experience in computer vision or applied ML.
• Experience with CV/AI tasks and training CV models.
• Proficiency in PyTorch or TensorFlow.
• Production deployment of CV models.
• Strong Python coding and debugging skills.
• Experience with cloud environments.

Responsibilities

• Design, prototype, and productionize CV models for core business scenarios.
• Train and fine-tune CV models on complex data to deliver high-accuracy results.
• Optimize CV inference pipeline for latency and throughput.
• Collaborate with cross-functional teams to add CV features.
• Integrate ML models into end-to-end product flow with cloud endpoints.
• Establish and maintain MLOps practices.
• Mentor junior engineers.

Skills

CV/ML

Python

PyTorch/TensorFlow

Cloud experience

Education

Bachelor's or Master's in CS/EE/ML

Tools

Docker

Kubernetes

Job description

Senior Computer Vision Engineer

Bengaluru • Full-time • Experienced

About The Position

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 stackfrom 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 Company

Our client 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.