Job description

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 on premise or in the cloud, monitoring of the solution and support.
• Shape the next generation of free-flow highway tolls, create field guidance solutions used by thousands of field technicians every day, make waste management more efficient: 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 product works and how it empowers our clients.
• 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
• Complete the Deepomatic Academy, an onboarding project which all new employees do within their first month
• Shadow solution architects, sales executives 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 3 months, you will:

• Assist a solution architect in the design of a client’s AI solution. It can involve training neural networks, developing scripts to automatize evaluation, …
• Master the product and its various components
• Perform a field trip to understand how solutions are used in the real world

Within 6 months, you will:

• Design and complete your first Visual Application with success on your own. The solution will be linked to an actual customer need.
• Develop reusable tools and templates to power future customer projects
• Participate User test session/ QA product
• Identify the real value of a use-case for Deepomatic and the client: is our product the right fit ? is the use-case relevant for the client’s business?

Job requirements

• 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.
• 2+ years experience with Python usage in data science.
• Experience with deep learning (experience with computer vision is a plus)
• “Hacker” mindset: you love connecting and tweaking things to solve hard problems.
• Great human qualities and a love for team work.

• 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
• Final round of interviews including technical exercises (Data Science, Décomp) and cultural fit with the team.