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Machine Learning Engineer at Neko
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Engineer with experience from industrializing Deep Learning solutions for the perception stack for Autonomous Driving, as well as building and operating ML solutions in the cloud.
Chalmers University of Technology
Master of Science (M.Sc.), Complex Adaptive Systems
January 1, 2015 – January 1, 2017
Chalmers University of Technology
Bachelor of Science (B.S.), Enginering Physics
January 1, 2011 – January 1, 2014
Neko Health
Senior Machine Learning Engineer
October 1, 2024 – Present
Einride
Senior Machine Learning Engineer
June 1, 2024 – September 1, 2024
Gothenburg, Västra Götaland County, Sweden
Sightic Analytics (f.k.a. Eyescanner Technology)
Senior Machine Learning Engineer
January 1, 2023 – June 1, 2024
Gothenburg, Vastra Gotaland County, Sweden · Hybrid
Zenseact
Acting Engineering Manager
October 1, 2022 – January 1, 2023
Gothenburg, Vastra Gotaland County, Sweden
Zenseact
Deep Learning Engineer
August 1, 2020 – January 1, 2023
Gothenburg, Vastra Gotaland County, Sweden
ZENUITY
Deep Learning Engineer
August 1, 2017 – August 1, 2020
Gothenburg, Sweden
Autoliv
Thesis Worker
January 1, 2017 – June 1, 2017
Gothenburg, Sweden
Medfield Diagnostics AB
Summer Intern
June 1, 2016 – August 1, 2016
Gothenburg, Sweden
Infineon Technologies
Product Engineering Intern
August 1, 2014 – June 1, 2015
San Francisco Bay Area
Cultural Fit Analysis
The candidate has a strong background in Machine Learning Engineering, which is adjacent to a Data Analyst role but not a direct fit. The experience is heavily focused on Deep Learning, Computer Vision, and Autonomous Vehicles, which may not align with typical Data Analyst responsibilities such as business intelligence, reporting, or broader statistical analysis. The project diversity is limited to ML/DL applications. While the candidate possesses strong analytical skills, the specific domain expertise might lead to a cultural mismatch for a pure Data Analyst role.
Soft Skills & Operational Fit
The candidate's experience includes an 'Acting Engineering Manager' role, suggesting leadership potential and project management exposure. Descriptions of working in teams responsible for the entire ML lifecycle indicate collaboration and end-to-end ownership. However, specific details on communication style, stress handling, or team collaboration are not available from the provided data.