Outmarch is an AI-native operational excellence platform for frontline teams. We streamline store operations with integrated task management, audits, communications, knowledge-base access, incident tracking, and asset management--all in one place. Our platform helps retailers turn business-driving decisions into real-time actions, boosting efficiency, compliance, and revenue. With AI/ML-native image analysis, Outmarch identifies and resolves in-store compliance issues faster, enhancing customer experience and empowering every role across the organization.
About the Role :
We're looking for a Computer Vision Engineer passionate about bringing AI to physical retail. You'll develop and deploy advanced vision models to automate planogram compliance, shelf monitoring, and visual merchandising analysis in real store environments.
Key Responsibilities :
Design and implement computer vision models for detecting planogram compliance, stock levels, out-of-stock conditions, and visual merchandising KPIs.
Build and manage large-scale image datasets from diverse retail store environments, covering verticals such as fashion & apparel, grocery, and quick-service restaurants (QSR), including annotation, augmentation, and quality control.
Fine-tune and optimize deep learning architectures (e.g., YOLO, Mask R-CNN, EfficientDet) for speed and accuracy on edge devices (TensorFlow Lite, ONNX, Jetson, mobile).
Integrate models into production systems, react native mobile apps, and cloud platforms.
Collaborate with product managers, retailers, engineers to align AI outputs with retail workflows and operational metrics.
Continuously monitor and improve model performance in live deployments.
Qualifications :
Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
1+ years of experience
Proven experience in computer vision and machine learning applied to real-world image/video data.
Hands-on experience with YOLO or similar object detection frameworks and libraries like OpenCV, TensorFlow, or PyTorch.
Experience deploying models on edge or mobile devices.
Strong understanding of retail store operations or prior work with retail datasets preferred.
Excellent programming skills in Python/C++ and strong problem-solving ability.
Immediate joiners preferred.
Preferred Skills :
Knowledge of planogram compliance, shelf monitoring, or retail analytics.
Familiarity with cloud services (AWS, GCP, Azure) and CI/CD for ML pipelines.
Experience optimizing models for low-latency inference in resource-constrained environments.
Why you should apply :
Chance to shape cutting-edge AI products for the retail industry.
Work with a fast-growing team tackling high-impact, real-world problems.
A great team-oriented environment.
The freedom to be creative and make a difference.
As a key member of the team, you will directly help shape the future of retail solutions.
You will be surrounded by passionate entrepreneurs who have lots of experience in solving real-world problems! We're a small, tight-knit team doing big things.
We value the curiosity to learn more and the ability to solve hard problems. We reward innovation, creativity, initiative, and teamwork.
Job Types: Full-time, Permanent
Pay: From ?500,000.00 per year
Education:
Bachelor's (Required)
Experience:
Computer vision: 1 year (Required)
PyTorch: 1 year (Required)
TensorFlow: 1 year (Required)
OpenCV: 1 year (Required)
object detection frameworks: 1 year (Required)
AI/ML: 1 year (Required)
Location:
Pune, Maharashtra (Required)
Work Location: In person
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