At Deepomatic, we are revolutionizing industries by harnessing the power of AI-driven image recognition. Our mission is to transform field operations and quality control, enabling companies to automate visual tasks at an unprecedented scale, ensuring accuracy and efficiency in real-time. We enable industries like telecommunications, utilities and green energy to increase their First Time Right Rate, with no more errors left behind. Our product offering includes an image recognition platform that allows users to train, deploy, and run high-performance AI models, a mobile experience that integrates these AIs with the tools used by engineers in the field, and back-office tools to leverage the data generated.
As a Computer Vision Solution Architect, you will be a key technical leader, guiding projects from conception to completion. Internally, you’ll collaborate closely with sales, product, customer success, and solution engineering teams. Thus, you will ensure our cutting-edge solutions are tailored to meet customer needs and delivered with precision. The role is highly cross-functional, at the crossroads of data science, product expertise and technical project management. A project usually involves the following main phases:
Rapidly develop proof-of-concepts using Deepomatic’s in-house models
Prepare datasets, train neural networks, and evaluate performance metrics
Design and implement end-to-end workflows, ensuring maximized production performance
Participate in project management initiatives, holding regular customer meetings to address progress and issues
Deploy solutions in the cloud, monitor system behaviour, and provide ongoing support
Conduct on-site visits to assess customer needs and ensure technical feasibility
At Deepomatic, we believe in empowering our team to lead with innovation and impact. As a Solution Architect, you’ll not only shape groundbreaking AI solutions but also play a critical role in driving our customers’ success and pushing the boundaries of what’s possible with computer vision.
Within 1 month, you will:
Start mastering our platform, gaining hands-on experience with product components and internal tools
Dive into real customer use cases to see how our cutting-edge solutions are transforming industries
Complete your onboarding project via our online academy
Within 3 months, you will:
Design and deliver your first successful proof-of-concepts for prospective customers
Grow confident in your knowledge of our product’s key components
Collaborate with cross-functional teams, gaining insights into the sales process and the technical execution of projects by shadowing solution engineers, solution architects and customer success managers during calls and meetings
Within 6 months, you will:
Participate in the implementation of a large enterprise account, by scoping and delivering a high-impact pilot project
Contribute to the development of internal tools or off-the-shelf models to improve productivity in the team
Visit customer sites to gain first-hand understanding of how solutions are used in the field
Within 1 year, you will:
Oversee the full-scale deployment of industrial-grade image recognition solutions, managing data science and architecture for major clients
Be the go-to technical expert for customer success and sales teams, offering guidance on deep learning, dataset management, deployment architecture, and more
Mentor new team members, helping grow the solution architect team and contributing to recruitment efforts
The candidate is a native or near-native speaker in French
Excellent oral and written communication in English
Good oral and written communication in Spanish or German is a plus
Graduate degree in engineering, computer science, mathematics or related field.
2+ years experience with Python usage in data science.
Experience with machine learning, deep learning and computer vision.
Experience with data manipulation and visualization.
Interest in solving real-world problems: you love connecting and tweaking things to solve hard problems.
Great interpersonal skills and a strong team-oriented mindset.
Flexibility and willingness to adapt to new challenges and technologies.
Screening call to understand if you are a right fit for the position and if it is the right position for you
Technical test (Python and data manipulation) to complete at home
Remote exercice on customer oriented problematic
Final round of interviews including technical exercises (Data Science, technical decomp) and cultural fit with the team.
These companies are also recruiting for the position of “Hardware Engineering”.