- You have at least MSc level in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems, Informatica or related field of study
- You have a very good level in Python and have a solid foundation in other languages. You master at least one SQL DBMS (ideally PostgreSQL) and noSQL (ideally MongoDB) and are able to use its advanced features.
- You are familiar with at least one cloud service platform (GCP, AWS, Azure) with experience mixing different services within the same project.
- You are comfortable using Docker, automating CI / CD pipelines and have a strong desire to gain skills in Kubernetes if you do not have experience with this solution yet.
- You are part of the DevOps Culture : support for the code life cycle, from development to deployment and maintenance of applications (a mastery of the Gitlab-CE ecosystem is a plus). You are also familiar with Infrastructure as Code concepts and tools such as Terraform, Ansible or Chef.
- You are sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)
- You are driven by a natural curiosity to actively follow the evolution of the sector with strong convictions on the technologies of the moment. You are proactive and able to quickly gain skills in a new technology, both as a team and independently.
- You want to get involved and quickly take responsibility for high added value missions within a dynamic structure.
- You have the ability to work in a team, an open mind, a sense of analysis and you want to join a motivating professional environment where you will share our values of excellence, entrepreneurship, innovation, the culture of sharing, benevolence, personal / professional life balance.
- Competitive salary with great extra advantages: a company car or flexible mobility plan, a phone allowance, yearly salary increase and bonuses.
- Flexible transport options that match your personal needs.
- Training plan to develop yourself as an expert in your discipline.
- You have the opportunity to work from home, with the client or from our inspiring office in Amsterdam.
- Working in an international environment creates opportunities to share knowledge and work together on international projects with colleagues all over the world.
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Machine Learning/DevOps Consultant - Amsterdam, Nederland - Sia Partners
Beschrijving
Job DescriptionSupport the development of the activities of the Global Data Science Business Unit. You will join the Amsterdam Data Science team and implement high-performance software solutions hosted on scalable and secure cloud infrastructures for our Data Science projects as well as our internal Heka solutions.
You will be in charge of shaping and executing the future of your expertise within Sia NL. You will work on client projects as well as on building our own Sia AI solutions, together with our NL based data science team and Paris based Heka Engineering team.
Your responsibilities include:
● Cloud services at GCP, AWS and Azure : choice of architecture, use of storage & compute services, cost monitoring and optimization, role management, Infrastructure as Code
● Docker and Kubernetes : containerization & orchestration of applications, management of K8s clusters adapted to Data Science workloads
● Programming in python : development of tools executed on the server side (mass data processing, API REST server, authentication, etc.)
● CI / CD : management of the integration and continuous deployment of our applications and internal platforms, support for the deployment of Data Science projects with our customers
● Infrastructures & Services adapted to Machine Learning : technological watch and implementation of solutions useful to Data Scientists in learning and making their ML models available.
QualificationsWhat do we offer?
For more information on our Data Science Practice, visit our
Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.