Ville Toiviainen
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Staff Machine Learning Engineer at Intuition Machines, Inc.
https://github.com/villux I’m an ambitious Machine Learning Engineer with a strong software developer background. I have proven track record of being able to lead revenue generating projects and deliver results fast: - Low latency bot detection system - Active learning system to label images - Multi-GPU and multi-node distributed training pipeline for deep learning models - Courier partner app (mobile app and backend for a food delivery service) - 2 x Junction Hackathon main prize winner (20k$) I’m comfortable making decisions related to tech, product and the team to ensure the project achieves its goals. Being able to grow alongside the company is important for me. Actively working with: Python, Javascript, Kubernetes
Aalto University
Master's degree, Computer Science, Machine Learning and Data mining
January 1, 2012 – January 1, 2019
University of Helsinki
Mathematics
January 1, 2011 – January 1, 2012
Intuition Machines, Inc.
Staff Machine Learning Engineer
July 1, 2021 – Present
Intuition Machines, Inc.
Software Engineer
November 1, 2018 – December 1, 2021
Wolt
Software Engineer
April 1, 2016 – August 1, 2017
Helsinki
Futurice
Software Developer
May 1, 2015 – March 1, 2016
Helsinki
Web-veistämö Oy / Avoin.Systems
Software Developer
January 1, 2015 – April 1, 2015
Helsinki
Profiz Business Solution Oyj
Software Developer
June 1, 2014 – December 1, 2014
Helsinki
Profiz Business Solution Oyj
Junior Software Developer
June 1, 2013 – September 1, 2013
Helsinki
Musiikkipalvelut Esko Vainio Oy
Guitar Teacher
October 1, 2011 – May 1, 2012
Hyvinkää
Cultural Fit Analysis
The candidate has a diverse professional background, moving from full-stack development to specialized ML engineering roles. Their experience spans different company sizes and industries (e.g., food delivery, traffic applications, internet security), indicating adaptability. The progression from Software Developer to Staff Machine Learning Engineer demonstrates a clear career trajectory and commitment to the ML domain, aligning well with a target role of ML Engineer. The breadth of skills, including both ML-specific and general software development, suggests a versatile individual who can contribute across different aspects of a project.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in cross-team initiatives, project planning, and enabling team delivery. At Futurice, they demonstrated stakeholder trust-building and fostering a positive team spirit, indicating strong collaboration and communication skills. The role at Profiz Business Solution Oyj also shows independent work and initiative in introducing new version control procedures. These experiences suggest a good operational fit for senior roles requiring both technical depth and team leadership.