S
85

Senior ML Engineer

8y 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

Marcin presents as a highly qualified senior ML engineer with extensive experience in GenAI, LLMs, and production ML systems that directly align with our recruitment platform needs. their proven track record of building scalable RAG systems, deploying LLMs at scale, and leading AI initiatives at major companies like Novartis demonstrates the technical depth required for this role. However, some concerns around identity verification, incomplete application materials, and limited online presence need to be addressed during the interview process.

Top Strengths

  • Extensive ML/AI experience with proven production deployments
  • Strong GenAI and LLM expertise highly relevant to role
  • Leadership experience and team mentoring capabilities
  • Quantified business impact and technical achievements
  • Modern ML stack proficiency including RAG, vector databases, and cloud platforms

Key Concerns

  • !Identity verification needed due to name discrepancy
  • !Incomplete resume presentation
  • !Limited online professional presence
  • !Missing code samples for technical evaluation
  • !No advanced degree as preferred in requirements

Culture Fit

75%

Growth Potential

High

Salary Estimate

$140,000-$180,000

Assessment Reasoning

This candidate demonstrates exceptional technical qualifications with 10+ years of experience, including 8+ years focused on ML/AI. Their recent work with GenAI, RAG systems, LLMs, and production deployments directly matches our requirements. Strong skills alignment (20+ matching skills) and proven leadership experience make them a strong fit. Despite concerns about application completeness and verification needs, the technical expertise and relevant experience justify a FIT decision with high confidence.

Interview Focus Areas

Technical deep-dive on RAG implementation and vector database optimizationProduction ML deployment experience and scalability challengesLeadership philosophy and team mentoring approachSpecific experience with candidate-job matching or similar recommendation systemsIdentity verification and background confirmation

Experience Overview

10y total · 8y relevant

Strong senior-level candidate with 10+ years experience and deep expertise in GenAI, LLMs, and production ML systems. Demonstrates excellent technical skills and leadership experience with measurable business impact.

Matching Skills

PythonPyTorchTensorFlowscikit-learnNLPLLM Fine-tuningPrompt EngineeringOpenAI APIPandasSQLMLflowAWS SageMakerDockerKubernetesFastAPIFeature EngineeringA/B TestingRAGVector Databases

Skills to Verify

XGBoostTransformersHugging FaceLangChainAnthropic ClaudeNumPyApache SparkWeights & BiasesGit
Candidate information is anonymized. Personal details are hidden for fair evaluation.