Image Recognition 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

Luka Posilović is an exceptionally strong candidate for this Image Recognition Engineer role, bringing a rare combination of academic excellence (PhD, summa cum laude, 400+ citations) and applied industry experience leading ML teams and shipping production CV systems. their technical stack — PyTorch, object detection, segmentation, MLOps tooling — aligns closely with the job requirements, and their EU-based remote profile fits the team's cultural model perfectly. The primary risks are their concurrent founder role suggesting divided attention, and a salary expectation that likely exceeds the posted range given their seniority. A focused interview should clarify commitment, compensation alignment, and the minor anomaly of the prompt injection in their resume. Pending positive outcomes there, Luka represents a high-confidence hire who could meaningfully elevate the ML team.

Top Strengths

✓PhD-level theoretical depth in generative models, CNNs, and computer vision — rare for a mid-level role application
✓Production-proven experience building and deploying CV pipelines (object detection, classification, segmentation) at startup scale
✓Strong MLOps maturity: DVC, WandB, Airflow, Docker, AWS/GCP — ready for end-to-end pipeline ownership from day one
✓Academic credibility with 400+ citations and best dissertation award — signals rigorous problem-solving and communication skills
✓EU-based (Croatia), remote-ready, and culturally aligned with an EU-first distributed team structure

Key Concerns

!Dual founder/employee role raises questions about full-time commitment and potential departure risk if ElevenEleven gains traction
!Embedded prompt injection in the resume is unusual and should be clarified — whether intentional (red-teaming curiosity) or careless (copy-paste artifact), it warrants a direct conversation

Culture Fit

88%

Growth Potential

High

Salary Estimate

$100k-$120k (likely above posted range given PhD, leadership experience, and current Head of ML title; negotiation expected)

Assessment Reasoning

This candidate is strongly supported by The candidate's near-complete match to required technical skills (Computer Vision, Deep Learning, PyTorch, Python, CNN architectures, MLOps, image classification, model optimization), 6+ years of directly relevant experience, and a PhD specializing in generative models and computer vision. they exceeds the 3-year minimum and meets 90%+ of required and preferred qualifications, including object detection, segmentation, cloud ML workflows, and open-source contributions. The two concerns — divided attention from a side founder role, and a salary expectation likely above the posted range — are manageable through interview and negotiation rather than disqualifying. The prompt injection in the resume is noted but not treated as a disqualifying red flag at this stage.

Interview Focus Areas

Clarify commitment and availability given concurrent Founder role at ElevenEleven — understanding long-term career intentDeep dive into model optimization trade-offs: how Luka has balanced inference speed vs. accuracy in production deploymentsAsk about the prompt injection in the resume — assess self-awareness, intentionality, and transparencyExplore MLOps practices: CI/CD for models, monitoring, rollback strategies, and A/B testing experience

Code Review

GoodSenior Level

No direct code samples or GitHub profile were provided, making a precise code quality assessment impossible. However, the breadth and sophistication of tools used, combined with GPU optimization, CUDA experience, and cross-stack integration work, strongly suggest Senior-level engineering competency. The score reflects the lack of reviewable artifacts rather than any inferred deficiency.

PythonPyTorchCUDADockerAWSGCPDVCWandBVoxel51AirflowFlaskGitHub WorkflowsC# (integration)

+Demonstrated use of production-grade ML tooling (DVC, WandB, Airflow, Voxel51) suggests disciplined engineering practices
+Experience integrating ML models into C#-based applications shows cross-language deployment capability
+CUDA and GPU server optimization experience indicates low-level performance engineering skill

-No GitHub profile provided, limiting direct code quality assessment
-Open-source contributions mentioned (FiftyOne community) but no links or PRs available for review

Experience Overview

6y total · 6y relevant

This candidate is an exceptionally well-qualified candidate with a PhD in computer vision, 6+ years of relevant ML/CV experience spanning academia, industrial inspection, and food-tech AI. their hands-on work in object detection, segmentation, classification, and generative models maps almost perfectly to the role's requirements. The only notable technical gap is the absence of explicit TensorFlow experience, though their PyTorch and overall framework depth is strong.

Matching Skills

Computer VisionDeep LearningPyTorchPythonCNN ArchitecturesMLOpsImage ClassificationModel OptimizationObject DetectionImage SegmentationAWS / GCPDockerWeights & Biases (WandB)DVCOpenCV (implied via traditional CV methods)Generative Models / GANs / Diffusion

Skills to Verify

Explicit TensorFlow mentionKubernetesFormal A/B testing for ML systems

Candidate information is anonymized. Personal details are hidden for fair evaluation.