Data Developer Backend

Key Skills

Aartificial intelligence, AI technology, Docker, Kubernetes-K8s, Linux Operating system, Machine learning techniques, Mesos, Python Programming, REST API, Shell Scripting language, SQL, Unix Operating system, XML-JSON

Job Description

Since 2018, Moov AI, an independent Montreal company, has enabled organizations of all sizes to take advantage of the power of machine learning and artificial intelligence technologies. Our mission is to democratize AI in Quebec.

If, as a data developer, you are looking to evolve your career towards consulting and the practical application of artificial intelligence and, at the same time, to join a team that is building an organization that promotes self- governance and remaining so yourself , we have a great opportunity to offer you.

Being a back-end developer at Moov AI

As a back-end developer in the delivery team, you enjoy building the data infrastructure to support AI solutions, you enjoy collaborating with data scientists on solution building. IA and you are enthusiastic about becoming familiar with the technologies needed to operate these solutions in different types of customer environments. You feel personal satisfaction when you leverage customer data and help deploy AI solutions in production at customers.

On a daily basis at Moov AI

You set up robust data flows and support your colleagues in the implementation of the AI solution in the customer infrastructure. You work within a multidisciplinary team made up of other developers, data scientists and an Agile project manager. You form a trio of experts who accompany a company on a project. You are responsible for communicating and understanding the business needs expressed by customers, as well as adapting the solution to meet them. You are the designated expert to design the data architecture of this solution.

During your career at Moov AI

You will know a wide range of industries, functions and customers; you will change jobs without changing employers. For example, the AI solutions designed by Moov AI led to the reduction of food losses at a major grocer; improved the STM's traffic prediction model ; and enabled a global aerospace company to better predict engine maintenance. That's the kind of list that makes your mouth water.

Beyond your title, at Moov AI

You have the opportunity to exercise your leadership in several areas of the company. Together, we are building a post-conventional organization that advocates the distribution of power and decision-making in a safe and healthy environment. What this means is that you can contribute to other functions (examples: the compensation project, continuous training, even take part in strategic decisions) in order to exploit your full potential — because you are more than just a back-end developer.

In short, as a member of the Moov AI team, you have the opportunity to live, try and have an impact on many things, both in AI and in post-conventional organization.

What Moov AI brings you

Moov AI is a different company, with clear values that we live every day. Ultimately, we want every individual to show up at the office being authentically themselves — no need for artificial professional identities.

• Our offices are located in the vibrant Plateau Mont-Royal district of Montreal.
• We advocate a hybrid system of office presence and remote work.
• Your salary is fair with colleagues and the market.
• You have access to competitive group insurance and an RRSP contribution program.
• You manage your own calendar, for example your holidays, according to your team, your client and your deliverables.
• Family comes first.
• You take advantage of the company's wealth sharing program .
• You personally contribute to propelling companies through the concrete use of AI. Together, we are transforming Quebec.

Job requirements

What you bring to the team

At Moov AI, back-end.se developers have as their primary objective to build the data infrastructure and design deployment systems to deliver a high-impact AI solution for the customer.

• You have good knowledge of IT (networks, servers, security, virtualization, etc.);
• You have experience in software development (APIs, REST, data structures and algorithms)
• You master one of the DevOps frameworks (Jenkins, Gitlab CI/CD, GitHub Actions, Azure Pipeline, Circle CI)
• Great command of the UNIX/Linux environment (CLI, Vim, Shell scripting, Cronjobs)
• You master SQL, you know the principles of data modeling and you know how to put them into practice on a daily basis.
• You have experience and working knowledge of relational or NoSQL databases
• You have experience for the orchestration of applications and infrastructures for data processing preferably in python
• You have a general understanding of the different data storage formats (JSON, XML, etc.)
• You are familiar with monitoring data processing applications.
• You have already collaborated in the design of solution architectures for data processing that integrate with different company systems.
• You have a good knowledge of the concepts and practices related to machine learning (Machine Learning) an asset.
• You have experience with containerization (Docker, Mesos, K8s) an asset.