MLOps Engineer, Protex AI
AI-powered health & safety technology
Job no longer available
AI-powered health & safety technology
21-100 employees
Job no longer available
21-100 employees
Company mission
To help enterprise EHS teams revolutionise how they make proactive safety decisions that help contribute to a safer work environment.
Role
Who you are
- The ideal candidate excels in computer vision technology, thrives under pressure, and expertly manages multiple projects while maintaining high standards
- If you're passionate about pushing the boundaries of AI-driven safety solutions and have a track record of delivering exceptional results, we want to talk to you
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience in computer vision or related field
- Strong background in deep learning frameworks (PyTorch, TensorFlow)
- Expertise in Python and experience with C++
- Experience with AWS cloud services (S3, EC2, Lambda) and orchestrating compute intensive workloads (Batch, Apache Airflow)
- Proven track record of deploying computer vision models in production
- Deep understanding of computer vision fundamentals and current state-of-the-art techniques
- Experience with object detection, classification, and pose estimation models
- Proficiency in managing and defining data annotation projects
- Familiarity with MLOps tools (Voxel 51, AWS Batch, Weights & Biases)
- Knowledge of privacy-preserving ML techniques is a plus
- Strong sense of urgency and ability to drive projects to completion
- Exceptional organizational skills with proven ability to manage multiple projects simultaneously
- High standards for quality and attention to detail
- Strategic thinking with ability to anticipate and prevent potential issues
- Excellent communication skills for collaborating with technical and non-technical stakeholders
- Track record of setting and maintaining high expectations for team performance
- Adaptability and eagerness to learn new technologies
What the job involves
- We are seeking an MLOps Engineer that will lead the development and optimisation of our cutting-edge computer vision systems that transform safety standards in factories and warehouses worldwide
- You'll be joining our Computer Vision Operations (CV Ops) team, a dedicated group of engineers committed to developing and deploying state of the art CV technologies to the real world
- We maintain a fast-paced, collaborative environment where team members are empowered to make significant technical decisions while supporting each other's growth and development
- Model Development & Enhancement: Build, train, and optimize computer vision models for object detection, classification, and pose estimation, ensuring robust, real-time performance
- Data Pipeline Management: Curate, refine, and maintain specialized datasets. Oversee annotation projects and ensure data integrity for model training and validation
- Production Integration: Work with cross-functional teams to integrate computer vision solutions into our production pipeline, ensuring scalability, efficiency, and alignment with client needs
- Continuous Improvement: Experiment with new technologies, methodologies, and frameworks to enhance model accuracy, reduce inference time, and improve overall system performance
- Drive projects with a sense of urgency, maintaining high standards for model quality and deployment readiness
- Effectively manage multiple concurrent projects while ensuring consistent delivery
- Set and maintain high expectations for team output and model performance
- Implement and maintain robust testing frameworks to ensure reliability across different environments
- Proactively identify bottlenecks and propose solutions to improve team efficiency
Our take
Health and safety in industrial, factory and warehouse environments has long been bemoaned for how it slows work processes down, and for how imperfect it is. It often takes accidents to happen (or be narrowly missed) for interventions to take place, and as a result, thousands of people a year are still killed in workplace accidents in the US alone.
Protex AI is out to make workplaces safer by turning CCTV cameras into AI-powered safety auditors. Its software plugs into an existing CCTV system and maps the actions of people, vehicles and other equipment. The system can automatically capture and report on risks – ultimately allowing H&S teams to make more data-informed decisions.
Since being founded in 2021, Protex AI’s forward thinking approach has seen it expand into locations across Ireland, the UK and the US, winning major customers such as Marks & Spencer and P&G. With significant funding at its back, the company continues to scale to bring AI-powered safety to more workplaces.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Feb 2025
$36m
SERIES B
Aug 2022
$18m
SERIES A
Total funding: $54.2m
Company benefits
- Company Laptop (Choice of Mac or Windows)
- Participation in Employee Share Option Programme
- Monthly Company Events
- Pension Scheme
- Health Insurance & Wellbeing Allowance
- Truly Unlimited Holidays
- Nomad Working for 20 Days
- Remote and Hybrid working opportunities
Company HQ
Dublin, Ireland
Leadership
Dan Hobbs
(Co-Founder & CEO)Co-founded online exam management platform BetterExaminations in 2015, serving as CEO for six years until TERMINALFOUR acquired the startup.
Ciarán O'Mara
(Co-Founder & CTO)Has a PhD in Computer Vision Privacy. Previously worked as a Machine Learning Engineer at Emdalo Technologies and a Software Developer at Cashbook.
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