Senior ML Engineer
6y relevant experience
EU engineers, ready to place with your US clients
Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.
Executive Summary
Dušan is a strong senior-level candidate with 6+ years of relevant ML engineering experience, including production deployments, MLOps, and team leadership. their background spans research collaboration with Google to production engineering at DAZN, demonstrating ability to work across the full ML lifecycle. While missing some specific technologies (Kubernetes, PyTorch), their AWS expertise, MLOps experience, and proven track record of delivering business impact make him a solid fit. their leadership experience and international background would bring valuable perspective to a growing team.
Top Strengths
- ✓Strong production ML experience with real business impact
- ✓Leadership and team management experience
- ✓AWS cloud expertise with MLOps focus
- ✓International experience with top-tier companies (Google, DAZN, FIAT)
- ✓Academic research background with publications
Key Concerns
- !Missing explicit Kubernetes and container orchestration experience
- !No direct PyTorch/TensorFlow mentioned despite ML focus
Culture Fit
Growth Potential
High
Salary Estimate
$140,000-170,000 based on senior level experience and leadership background
Assessment Reasoning
FIT decision based on strong foundational ML engineering experience (6+ years), proven production deployment capabilities, MLOps expertise, and AWS cloud proficiency. While missing some specific required technologies like Kubernetes and explicit PyTorch/TensorFlow experience, the candidate demonstrates transferable skills and has worked with similar technologies. The combination of technical depth, leadership experience, and track record of delivering business impact outweighs the missing specific tools, which can be learned given the strong foundation.
Interview Focus Areas
Experience Overview
7y total · 6y relevantStrong candidate with 6+ years of relevant ML/data experience, including production ML deployment, MLOps, and AWS cloud infrastructure. Has leadership experience and demonstrates progression from research to production engineering roles.
Matching Skills
Skills to Verify
