Sia Partners is hiring a
Machine Learning/DevOps Consultant

Summary

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.

Requirements

• MSc level in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems, Informatica or related field of study
• Very good level in Python and have a solid foundation in other languages
• Master at least one SQL DBMS (ideally PostgreSQL) and noSQL (ideally MongoDB) and are able to use its advanced features
• Familiar with at least one cloud service platform (GCP, AWS, Azure) with experience mixing different services within the same project
• 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
• 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)
• Familiar with Infrastructure as Code concepts and tools such as Terraform, Ansible or Chef
• Sensitive to security issues and have experience in implementing application protection solutions (certificate management, HTTPS security, OAuth2 authentication, credential management)

Responsibilities

• Implement high-performance software solutions hosted on scalable and secure cloud infrastructures for our Data Science projects as well as our internal Heka solutions
• Shape and execute the future of your expertise within Sia NL
• 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
• Choice of architecture, use of storage & compute services, cost monitoring and optimization, role management, Infrastructure as Code
• Containerization & orchestration of applications, management of K8s clusters adapted to Data Science workloads
• Development of tools executed on the server side (mass data processing, API REST server, authentication, etc.)
• Management of the integration and continuous deployment of our applications and internal platforms, support for the deployment of Data Science projects with our customers
• Technological watch and implementation of solutions useful to Data Scientists in learning and making their ML models available

Benefits

• 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
• Opportunity to work from home, with the client or from our inspiring office in Amsterdam