S
78

Senior ML Engineer

6y relevant experience

Qualified
For hiring agencies & HR teams

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

85%

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

Production ML deployment specificsKubernetes and container orchestration knowledgePyTorch/TensorFlow hands-on experience

Experience Overview

7y total · 6y relevant

Strong 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

PythonAWSMLOpsDockerSQLMachine Learning

Skills to Verify

KubernetesTensorFlowPyTorch
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