Software Engineer -Computer Vision & AI
At HFS, we’re building AI systems that make real-world quality and decision signals visible, measurable, and trustworthy. We’re a team of engineers and problem-solvers focused on turning messy real-world data into reliable intelligence using computer vision, machine learning, and practical system design.
We develop Vision AI-driven solutions that help businesses extract meaningful signals from visual data — especially in areas where quality, condition, or freshness is traditionally invisible. Our goal is to bridge the gap between what exists in the physical world and what systems can reliably understand and act on.
We’re looking for:
A Software Engineer – Computer Vision & AI to join our growing team.
In this role, you’ll design and build computer vision and AI systems that extract structured insights from images and visual data. You’ll work across model development, data pipelines, and production systems — bringing AI from research to real-world impact.
What you'll do
AI & Computer Vision development
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Build and deploy computer vision models for real-world image understanding
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Work on tasks like object detection, classification, segmentation, and scoring systems
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Develop AI models that extract structured signals from visual data (e.g., quality, condition, attributes)
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Improve model accuracy, robustness, and scalability
System & product engineering
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Design and build end-to-end AI pipelines (data → model → inference → API)
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Work with large-scale image datasets and real-world noisy data
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Integrate models into production systems
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Optimize inference performance and reliability
Data & experimentation
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Curate and prepare datasets for training and evaluation
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Define metrics for model performance and real-world usefulness
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Run experiments to improve model quality and system stability
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Analyze failures and improve system behavior over time
What you bring:
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3–6 years of experience in software engineering, ML engineering, or computer vision
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Strong foundation in Python and ML frameworks (PyTorch / TensorFlow preferred)
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Experience with computer vision tasks (classification, detection, segmentation, etc.)
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Understanding of end-to-end ML systems (data pipelines → training → deployment)
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Strong problem-solving and analytical skills
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Experience working with real-world, noisy datasets
What we offer:
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Opportunity to build real-world Vision AI systems with measurable impact
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High ownership across model and system design
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Fast-paced environment focused on applied AI, not just research
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Collaborative team culture with strong engineering focus
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Room to experiment, iterate, and build production-grade AI systems
Be Impactful . Be Curious . Be Inspired . Be HFS
Apply Now
We're looking for passionate engineers to help us redefine perishable commerce. Join our mission-driven team and build the future of AI trust in groceries.