About this role
The AI Go-live Specialist role at almetra in Berlin is a full-time hybrid position that suits structured execution professionals with two to five years of experience in implementation, quality assurance, solutions engineering, operations, or data operations. This individual manages customer onboarding and drives success metrics to deliver reliable time-to-value.
Role Overview
The AI Go-live Specialist takes charge of onboarding outcomes, tracks key performance indicators, and executes initial setup cycles using internal tooling. The professional validates input data quality, identifies potential issues regarding camera angles or missing detections, and expands the dataset by documenting edge cases. Additionally, the role involves collaborating with installation teams to guarantee cross-station consistency and refining documentation to scale onboarding efficiency.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
almetra operates as an artificial intelligence software company focused on manufacturing applications. The organization maintains a diverse team representing over ten nationalities within a supportive and inclusive workplace that prioritizes ethical software development.
How to Apply
Interested candidates should submit their application directly on the official company careers page.
Questions candidates ask
What is the salary range for the AI Go-live Specialist position?
The position offers a salary between €55K and €68K along with equity options.
Where is the job located?
The role is located in Berlin with hybrid work arrangements.
How many years of experience are required?
Candidates must have 2 to 5 years of experience in a structured execution role such as implementation, quality assurance, solutions engineering, or data operations.
What benefits are provided besides salary?
Benefits include an employee share options program, Urban Sports Club membership, quarterly team retreats, and flexible working hours.
Is machine learning depth required for this role?
Machine learning depth is not required, but applicants should feel comfortable working with technical systems and reasoning about inputs.