Computer Vision Solution Architect (H/F)

The opportunity

Deepomatic develops a low-code platform to enable business users to build their own Computer Vision solution and use it in production. By partnering with sales, customer success and product teams, the Solution Architect implements our customers' projects using the Deepomatic platform. The Solution Architect intervenes on all technical aspects of the project and works on the project end-to-end. The role is highly cross-functional, at the crossroads of data science, product expertise and technical project management, as a project usually involves the following main phases:

• On-site visit to understand the business constraints of the customer and assess the technical feasibility.
• Data science: dataset preparation, training of the neural network, performance evaluation.
• Setup of the workflow and business rules: implementation of an end-to-end solution answering the customer's needs.
• Project management: weekly meetings with the client to inform about the progress and discuss current issues.
• Deployment in the cloud, monitoring of the solution and support.
• Create field guidance solutions used by thousands of field technicians every day, monitor laboratory animals, automate meal tray detection: these are just a few examples of the kind of projects you could be working on as a Solution architect.

Within 1 month, you will:

• Learn everything there is to know about the business and the technology behind it. You will learn how our products work, how to deploy them, how to debug them.
• Dig into existing customer use-cases and how our products are leveraged to solve them.
• Learn to use our internal tools to collaborate effectively with all Deepomatic teams.
• Start and complete your Onboarding Project, which all new employees do within their first month and addresses a team-specific or customer-specific pain point.

Within 3 months, you will:

• Design and complete your first customer PoC with success.
• Master the product and its various components.
• Develop reusable tools and templates to power future customer projects.
• Shadow solution architects, solution engineers and customer success managers during calls and meetings to build an understanding of the role, the sales cycles, how customer implementations and integrations work.

Within 6 months, you will:

• Be the go-to person regarding technical issues in the customer success and sales team. You will demonstrate proficiency regarding the following topics: data science and deep learning, dataset management, deployment architecture, hardware requirements, technical feasibility of use-cases, advanced usage of the products and of the API.
• Be responsible for a large enterprise account, by scoping and shipping a Pilot project.
• Perform product and solution training sessions with our customers.
• Perform a field trip to understand how solutions are used in the real world.

• Manage and oversee industrial scale image recognition solutions.
• Oversee the data science and architecture aspects for some of our largest enterprise customers.
• Mentor new team members and help structure the solution architect and customer ops team.
• Help with hiring new talents.

• The candidate is a native or near-native speaker in French
• Bachelor's degree in engineering, computer science, mathematics or related field. Graduate degree is a plus.
• Interest in solving real-world problems.
• Experience with data manipulation and visualization.
• Experience with deep learning and computer vision is a plus.
• 2+ years experience with Python usage in data science.
• Excellent oral and written communication in English
• Good oral and written communication in Spanish or German is a plus
• "Hacker" mindset: you love connecting and tweaking things to solve hard problems.
• Great human qualities and a love for team work.

⭐️ At Deepomatic, we deeply believe that diversity and inclusion drive innovation. We value difference, especially in a sector that is still struggling with concept. That is why we are committed tu build a team with a variety of nationalities, backgrounds, skills, views, and abilities.
We are building a work environment in which everyone can bring their authentic selves with confidence. To get the best out of it.