AI Engineer, Vision

Lutra

1d

About The Position

Our client is a well-funded, seed-stage AI startup that builds agents for the
factory floor. They develop and distribute a software-first agent layer that
plugs into the cameras and machines factories already have. Their models run and
act at the edge so agents can see, decide, and act in real time. Events and
metrics flow into a dashboard that provides plant teams immediate visibility.
They’re approaching a large (~$14B) and underserved market with a disruptive,
asset-light alternative to hardware-heavy robotics and batch analytics and
they’ve already found early traction with clients in the food & beverage,
pharma/cosmetics, and materials processing verticals.

As an AI engineer you’ll bridge the gap between academic research and industry
impact. You’ll be joining a flat, dynamic environment in the midst of its
scale-up phase that’s led by an accomplished ex-Deepmind researcher with
specialization in reinforcement learning, deep learning and robotics. Your role
will centre around training, deploying and monitoring neural networks
responsible for visual inspection and activity detection workloads. You’ll work
across the full stack of applied computer vision from dataset curation through
training, benchmarking, drift monitoring and closing the loop with updates.

The company closed 2 significant funding rounds in the last 12 months and are
scaling R&D and delivery to meet accelerating demand, with headcount tracking to
double by year-end.

Requirements

• You have experience training, validating, and deploying deep learning models (CNNs, transformers) using PyTorch and supporting their lifecycle following deployment
• You have experience using NumPy for numerical computing, data processing, and model-related workflows
• You have experience working in Linux-based environments
• You have experience packaging and deploying applications with Docker
• You have experience working with SQL to query, transform, and analyze structured data
• You have experience collaborating effectively within and across cross-functional delivery teams
• You are a contagiously curious person with entrenched learning habits
• You have a fantastic command of English

Nice To Haves

• You have an academic research background in machine learning, computer vision, and/or artificial intelligence (likely, but not necessarily, reflected in a graduate degree in these fields)
• You have experience solving manufacturing and/or industrial automation problems with software solutions
• You have deep expertise in computer vision, robotics, or manufacturing field deployments
• You have experience deploying vision models at the edge
• You have experience scaling an AI and/or B2B SaaS venture

Responsibilities

• Vision model development: Evaluating, training and deploying classification, detection, and segmentation models for manufacturing use cases
• Monitoring & retraining: Monitoring production performance, diagnosing drift and edge-case failures, and retraining to improve reliability and accuracy
• Project ownership: Taking end-to-end ownership of 3-4 concurrent AI projects, with 1-3 neural networks in scope per project
• Collaboration, documentation & field support: Work with cross-functional teams, maintain clear processes for reproducibility, and support in-field operations

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed