Onbarding Engineer

Overview

What you’ll do Own onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value) Execute the initial onboarding cycle using internal tools, then revisit and iterate to improve quality as new data and edge cases appear Validate input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections) Detect and document edg

What you'll do

• What you’ll do Own onboarding outcomes against success metrics and customer KPIs (quality, reliability, time-to-value) Execute the initial onboarding cycle using internal tools, then revisit and iterate to improve quality as new data and edge cases appear Validate input data quality and flag issues early (camera angle, occlusion, anonymization, variance, missing detections) Detect and document edge cases and SOP/process variance; grow a diverse dataset and keep it up to date Communicate progress, metrics movement, and blockers clearly to stakeholders; propose concrete next steps Improve the onboarding process over time: checklists, docs, templates, and suggestions for tool improvements based on real usage Coordinate with installation teams to ensure camera setups support reliable onboarding and cross-station consistency You are 2-5 years experience in a structured execution role (implementation, QA, solutions engineering, ops/industrial engineering, data ops, etc.) Metrics-minded: you can define “good”, track it, and drive iteration until it improves Detail-oriented and reliable with process execution (no skipped steps, good documentation hygiene) Fast, concise communicator who escalates early and clearly Strong ownership mindset: you drive onboarding to completion and keep improving it post go-live Comfortable with technical systems (ML depth not required, but you can reason about symptoms and inputs) Manufacturing/process exposure is a strong plus #LI-Hybrid #LI-SP1 What we offer Employee Share Options Program for all permanent employees* An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
• Be on the forefront in defining what artificial intelligence means in manufacturing Gain hands-on experience in working in an AI-first software company Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact Network with professionals and leaders in the field, opening doors to potential future career opportunities We have a very flat hierarchy, open 360° feedback, and flexible working hours Ethics⚖: We are committed to developing ethical AI software Don't meet all the requirements? Almetra is committed to creating a w.

Requirements

• Practical experience with Engineering.
• Experience level: 2-5 yrs.
• Strong written and verbal communication in English.
• Comfortable working on-site in Berlin.

Skills