Senior ML Engineer
8y 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
Outstanding candidate with exceptional ML engineering credentials combining deep research expertise with proven production experience. Currently leads ML initiatives at Comcast serving 25M+ users with measurable business impact including 1.5% performance improvements through A/B testing. Strong technical foundation in PyTorch/TensorFlow, MLOps, and modern ML techniques including LLM fine-tuning and knowledge graphs. Published researcher in top-tier ML conferences with mentoring experience. Minor gaps in containerization experience are easily addressable given strong technical foundation. High potential for immediate impact and technical leadership.
Top Strengths
- ✓Exceptional production ML experience at scale (25M+ users) with measurable business impact
- ✓Strong combination of research depth and practical implementation skills
- ✓Proven expertise in modern ML stack including PyTorch, TensorFlow, and MLflow
- ✓Experience with advanced ML techniques including LLM fine-tuning, knowledge graphs, and recommender systems
- ✓Track record of mentoring and technical leadership with published research
Key Concerns
- !Limited explicit containerization/orchestration experience with Docker/Kubernetes
- !May be overqualified with strong research background potentially leading to retention concerns
Culture Fit
Growth Potential
High
Salary Estimate
$180,000 - $220,000 based on senior level experience and research background
Assessment Reasoning
Strong FIT decision based on exceptional ML engineering experience that closely aligns with role requirements. This candidate demonstrates 9+ years of relevant experience including 3+ years in production ML at scale. Has proven expertise in required technologies (Python, PyTorch, TensorFlow, MLOps, AWS, SQL) with real-world deployment experience serving millions of users. Shows strong technical leadership through research publications and mentoring. The combination of deep technical expertise, production experience at scale, and proven business impact through A/B testing makes this an excellent match despite minor gaps in containerization tools.
Interview Focus Areas
Experience Overview
9y total · 8y relevantExceptional ML engineer with 9+ years experience, including 3+ years at Comcast deploying production ML systems serving 25M+ users. Strong combination of research depth and production experience with proven impact through A/B testing.
Matching Skills
Skills to Verify