Senior ML Engineer
7y 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
Exceptional ML engineering candidate with 7+ years of production experience at major companies including leading recommendation systems at The candidate's largest e-commerce platform. Strong technical foundation spanning traditional ML, deep learning, and modern techniques like transformers and RAG. Proven track record of delivering significant business impact through scalable ML systems. While some MLOps tooling experience may need validation, the fundamental skills and production experience are excellent. PhD in AI with published research demonstrates both theoretical depth and practical application ability.
Top Strengths
- ✓7+ years production ML experience at scale
- ✓Strong academic background with PhD in AI and published research
- ✓Proven business impact - 20% CTR improvement, 25% cost reduction
- ✓Full-stack ML experience from data pipelines to model deployment
- ✓Experience with modern ML techniques - transformers, RAG, time-series forecasting
Key Concerns
- !Limited explicit MLOps tooling experience
- !Location mismatch - currently in Dubai vs Austin role
Culture Fit
Growth Potential
High
Salary Estimate
$140K-180K base (senior level with international experience)
Assessment Reasoning
Strong FIT recommendation. Candidate exceeds the 5-8 years experience requirement with 7+ years of highly relevant production ML experience. Has led ML teams and delivered measurable business impact at scale. Technical skills align well with requirements (Python, TensorFlow, PyTorch, SQL), and experience building end-to-end ML systems matches the role perfectly. While some specific MLOps tools may need to be learned, the fundamental production ML experience and system design capabilities are excellent. The combination of practical experience and research background (PhD + publications) suggests both depth and breadth. Location in Dubai may require discussion but shouldn't be a blocker for the right candidate.
Interview Focus Areas
Experience Overview
7y total · 7y relevantHighly experienced ML engineer with 7 years of production ML systems experience at major tech companies. Strong technical foundation with proven ability to deliver business impact through scalable ML solutions.
Matching Skills
Skills to Verify