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 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.
