About the project
Duration: 3 months with prolongation option
Stage: solution development from scratch
Objective
The objective of this project is to develop a conversational AI system that will empower different internal teams to coordinate their work faster. The AI system will have to take data from internal and external different sources (i.e. project boards, reports, news, etc) and to be able to answer about the progress on different companys projects and activities and suggest improvements and refer them to the right teams and data streams
KPI
Comprehensive documentation detailing the architecture, including diagrams and specifications at least 1x per week.
A secure and scalable AWS environment is built so that the project team can deploy the solution.
80% of AI engineering best practices are applied to the solution
Areas of Responsibility
Develop and document cloud architecture
Comprehensive documentation detailing the architecture, including diagrams and specifications.
Identify and integrate all necessary data sources.
Implement automated and scheduled data synchronization processes.
Ensure data integrity and security measures are in place and tested.
Communication with the technical leadership and engineering pears
Skills
Comfortable with collaboration, open communication and reaching across functional borders.
Good interpersonal, oral, and written communication skills.
Advanced problem-solving and task break-down ability.
Adept at coding and scripting, with a strong grasp of automation tools.
Skillful in process re-engineering and comfortable with frequent, incremental code testing and deployment
Able to focus on business outcomes and the needs of the customer.
Knowledge
Associate level certification in AWS (Azure and GCP will be plus)
Professional level certification in AWS or Azure (or agreement to obtain within 6 months post-hire)
DevOps and Automation knowledge
Proficient in one or more of the following languages: Python, Shell, or JavaScript
Experience
Experience with Infrastructure as Code, including AWS datalake creation and maintenance
Experience with building enterprise security and compliance strategy for cloud adoption.
Experience working on UNIX/Linux administration
Terms & conditions
Allocation:
- 0 FTE
Time zone: Europe
Start date: ASAP
We offer
Scientific or engineering challenges
Work with disruptive deep-tech startups
Work with rock stars (senior-level engineers, Ph.D.)
Meaningful social and environmental projects
Transparent, professional growth plan depending on your impact
Remote work from any location
Flexible working hours
Regular Team Building & company-wide team events
