Jonas Karlsson

ML Engineer

https://talent.gravityer.com/jonas-karlsson

Software Developer @ Zimpler

Zimpler

Key Strengths

Extensive experience in Machine Learning and Deep Learning development, spanning various roles from developer to specialist.
Proven track record of working on ML in production environments and developing reinforcement learning models.
Background in embedded systems and sensor development, which can be valuable for ML applications in hardware-constrained or real-time environments.
Certifications in Google Cloud Platform Data Engineering indicate a strong understanding of cloud-based ML infrastructure.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a diverse background across different companies and roles, including consulting, which suggests adaptability. The progression from embedded systems to deep learning and ML engineering aligns with a growth mindset. However, the lack of detailed project descriptions makes it difficult to fully assess collaboration style or specific contributions to team environments.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

Zimpler

Software Developer

January 1, 2026 – Present

Gothenburg, Västra Götaland County, Sweden · Hybrid

Kognic

Scala Developer

July 1, 2021 – Present

Kognic

Machine learning backend engineer

January 1, 2020 – July 1, 2021

Combitech Sverige

Machine Learning Specialist

November 1, 2018 – January 1, 2020

Trollhättan, Västra Götalands län, Sverige

Berge

Deep learning Developer

November 1, 2015 – November 1, 2018

Greater Gothenburg Metropolitan Area

ÅF

Embedded Consultant

January 1, 2012 – January 1, 2015

Greater Gothenburg Metropolitan Area

Certifications

Data Engineering on Google Cloud Platform Specialization

Coursera

June 24, 2026 – Present

Google Cloud Certified Professional - Data Engineer

Google Cloud

June 24, 2026 – Present

Key Strengths

Extensive experience in Machine Learning and Deep Learning development, spanning various roles from developer to specialist.
Proven track record of working on ML in production environments and developing reinforcement learning models.
Background in embedded systems and sensor development, which can be valuable for ML applications in hardware-constrained or real-time environments.
Certifications in Google Cloud Platform Data Engineering indicate a strong understanding of cloud-based ML infrastructure.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Jonas Karlsson

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Education

Experience

Certifications

Key Strengths

Cultural & Operational Fit