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Lead Python Engineer with 10+ years in Machine Learning, Python & MLOps.
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Assessing your cultural and operational fit
AI & ML Engineer with 10 years of experience designing, building, and deploying intelligent backend systems and machine learning solutions. Skilled in Python backend development, MLOps, and AI model deployment at scale. Adept at collaborating with cross-functional teams from data scientists and product managers to DevOps and frontend engineers to deliver AI-driven features aligned with strategic business goals.
Tallinn University of Technology
Master's Degree · Science of Artificial Intelligent
August 1, 2019 – June 30, 2020
Tallinn University of Technology
Bachelor's Degree · Computer Science
August 1, 2011 – June 30, 2015
Jina AI
Senior AI & ML Engineer
March 1, 2024 – Present
Berlin, Berlin, Germany
Axelera AI
AI Engineer
May 1, 2021 – February 1, 2024
Amsterdam, North Holland, Netherlands
Dixa
AI Engineer
July 1, 2018 – April 1, 2021
Copenhagen, Capital Region of Denmark, Denmark
Baltic Software Group
Python Developer
July 1, 2015 – June 1, 2018
Tallinn, Harju County, Estonia
Cultural Fit Analysis
The candidate's experience spans multiple companies (Jina AI, Axelera AI, Dixa, Baltic Software Group) with diverse project types, from NLP and computer vision for fintech to recommendation systems for retail and customer support automation. This breadth of experience, coupled with their involvement in mentoring and cross-functional collaboration, suggests adaptability and a strong team-player mentality. Their continuous learning (Master's in AI) and engagement with cutting-edge technologies (edge AI, Hugging Face Transformers) indicate a proactive and growth-oriented mindset, which aligns well with innovative tech cultures. The candidate's focus on delivering business value and improving client outcomes also points to a results-driven approach.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, having worked extensively with cross-functional teams including product managers, DevOps, and frontend engineers. They have experience mentoring junior engineers, establishing coding standards, and conducting peer reviews, indicating leadership potential and a commitment to quality. Their involvement in Agile sprints and technical documentation suggests good operational fit and communication within a team environment. The candidate's ability to align AI functionality with client-facing roadmaps highlights a product-oriented mindset.