Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] O banco de talentos da Gerdau pede forte experiência em modelos preditivos, ML, Databricks e AWS, enquanto o currículo mostra Python, SQL, previsão de demanda e automação, mas sem ML frameworks ou plataformas modernas. Há boa aderência em dados e operações, porém falta o stack analítico moderno esperado. **Strengths:** Experiência profunda com demanda, previsão e operações industriais/supply chain, Python e SQL sólidos, Vivência com grandes bases operacionais e saneamento de dados **Missing Required:** Experiência comprovada com modelos de ML em produção, Vivência com ambientes colaborativos de dados (Databricks/AWS)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] A vaga de Engenheiro(a) de IA Sênior na B3 exige liderança de arquitetura de IA, mentoria de times e experiência robusta em múltiplas frentes de IA (agentes, NLP, visão), o que não está demonstrado. O candidato tem IA aplicada e automação, mas não a senioridade formal nem o espectro técnico amplo pedido. **Strengths:** Visão sistêmica e de processos financeiros, Experiência em automação orientada a resultado, Habilidade de comunicação com stakeholders de negócio **Critical Gaps:** Senioridade de IA Sênior em empresa de infraestrutura financeira, Histórico de colocar múltiplos modelos de IA em produção em grande escala

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] Mesma descrição essencial da vaga 20: Engenheiro Pleno de AI & LLM com foco em Python, SQL, ML em produção, LLMs e AWS, bastante alinhado ao histórico de Python/SQL, LLMs e automação, embora faltem MLOps formal e AWS avançado. O fit técnico é razoável, com lacunas aprendíveis em cloud/MLOps. **Strengths:** Python e SQL sólidos em contextos reais de negócio, Experiência com LLMs e automação de processos, Capacidade de construir pipelines de dados para operações **Missing Required:** Experiência prática com AWS em produção para ML/LLMs

[ANALYSIS_REPORT] **LOW** [3-Flash] Critical gaps in platform tools like Kubernetes, Terraform, and Go/Go-lang. AGCO is a large industrial enterprise where '8+ years of experience' usually requires strict SE title progression. **Strengths:** Python, Systems thinking, Supply chain domain knowledge **Critical Gaps:** No container orchestration or IaC experience, Missing 'Platform Engineer' title history **Missing Required:** 8+ years in software/platform engineering

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] A vaga de Sr Data Scientist/MLOps exige forte experiência com TensorFlow, CI/CD de ML, AWS (EKS/ECS), Terraform, MLflow/Kubeflow e monitoramento de modelos, que não aparecem no currículo. O candidato tem Python, dados e automação, mas não traz a maturidade formal de MLOps pedida. **Strengths:** Python robusto, Experiência em automação e saneamento de dados, Conhecimento de operações de risco/fraude via finanças e trading **Missing Required:** Experiência comprovada com MLOps em produção, Uso de frameworks de ML (Scikit-learn/TensorFlow) em larga escala

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] A vaga pede engenharia de IA plena com ML/DL, MLOps, cloud e APIs, e o candidato tem Python, dados, automação e LLMs, mas não traz explicitamente TensorFlow/PyTorch ou MLflow/Kubeflow. É um bom alvo de transição, mas com lacunas técnicas que o ATS pode enxergar. **Strengths:** Python avançado, Experiência em automação orientada a valor de negócio, Boas bases de SQL e dados **Missing Required:** Experiência comprovada com modelos de ML/DL em produção, Vivência com ferramentas de MLOps

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.1] A posição de Especialista em Engenharia de IA com foco em MLOps pede experiência profunda com MLflow/Databricks/Azure ML, Spark e CI/CD para ML, que não aparecem no currículo. O candidato está mais próximo de engenheiro de sistemas/automação do que de especialista em MLOps de plataforma. **Strengths:** Python sólido, Experiência com automação de processos complexos, Boa comunicação com públicos técnicos e não técnicos **Critical Gaps:** Experiência em MLOps de plataforma corporativa, Trabalho com Spark e pipelines distribuídos de ML

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Strong SQL and financial domain knowledge match treasury system requirements, but completely missing C#/VB.NET core tech stack. ATS will flag absence of 'Software Engineer' title and C# experience as critical gaps. **Strengths:** SQL expertise, Financial market domain knowledge, ERP/complex systems experience **Critical Gaps:** C#/VB.NET development experience, Formal software engineering background **Missing Required:** Superior completo em TI/Ciência da Computação, Experiência com C#/VB.NET

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Systems thinking and technical bridge role aligns with candidate's strength, but ATS requires 'Arquiteto de Software' or senior SE title. No formal software architecture experience will be flagged immediately. **Strengths:** Technical-business translation, Systems design thinking, ERP architecture experience **Critical Gaps:** Professional software architect experience, Software Engineer title progression **Missing Required:** Experiência em projetos de desenvolvimento de software, Formação em Tecnologia/Computação

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4.5] Node.js and API integration experience aligns with backend requirements, and fintech domain is relevant. However, missing NestJS framework and React production experience are significant gaps for a Senior Full Stack role. **Strengths:** Node.js development, API integration expertise, Fintech/payments domain knowledge **Critical Gaps:** NestJS framework expertise, React/frontend production work **Missing Required:** Node.js + NestJS em produção, React em produção (SPA/SSR)

[ANALYSIS_REPORT] **LOW** [3-pro] Critical technology mismatch. Role requires C#, .NET, and Microsoft Dynamics AX 2012, which are completely absent from the candidate's profile. **Strengths:** ERP logic understanding (TOTVS), Supply chain domain knowledge **Critical Gaps:** Missing core language: C#/.NET, Missing specific ERP ecosystem: Dynamics AX **Missing Required:** Proven experience with Microsoft Dynamics AX, Hands-on development experience using C# and .NET

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Basic Python and algorithm experience exists, but no formal ML/DL training, research, or production model deployment. Location in Florianópolis adds geographic mismatch for São Paulo-based candidate. **Strengths:** Python scripting, Data analysis, Algorithm thinking from engineering background **Critical Gaps:** Formal ML/DL experience, CS/Data Science background, Model deployment in production **Missing Required:** Ciência da Computação degree, ML/DL expertise, Florianópolis location

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Staff-level role requires deep ML production experience and technical leadership over ML teams. Candidate has LLM integration but no model training, MLOps pipelines, or formal ML engineering background. **Strengths:** Python development, LLM API integration, Systems automation thinking **Critical Gaps:** Staff engineering level experience, Production ML systems at scale, ML team mentorship **Missing Required:** Graduação em Ciência da Computação, Experiência com ML packages, Staff-level seniority

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4.5] Python, SQL, LLM integration experience, and Mechatronics engineering degree meet base requirements. However, missing formal ML production experience (training/fine-tuning) and AWS deployment expertise are gaps for a mid-level ML role. **Strengths:** Python + SQL proficiency, LLM API integration, Engineering degree (qualifies), English fluency, Autonomous work style **Missing Required:** Experiência com fine-tuning de LLMs, AWS production experience

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5-mini] Strong hands-on experience with Python, SQL, production data pipelines and LLM integrations (APIs) that map well to the role, but the resume lacks explicit, proven experience with AWS services (API Gateway/Lambda/ECS/Fargate) and clear evidence of fine-tuning/model evaluation. ATS will reward the production/ETL/LLM evidence but cap the match due to missing mandatory cloud-service experience. **Strengths:** Python + SQL for ETLs and data pipelines, Production systems thinking and end-to-end automation, Practical LLM integrations and AI product experience **Missing Required:** Proven AWS experience with services (API Gateway, Lambda, ECS/Fargate or equivalents)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4.5] Python, SQL, LLM integration experience, and Mechatronics engineering degree meet base requirements. However, missing formal ML production experience (training/fine-tuning) and AWS deployment expertise are gaps for a mid-level ML role. **Strengths:** Python + SQL proficiency, LLM API integration, Engineering degree (qualifies), English fluency, Autonomous work style **Missing Required:** Experiência com fine-tuning de LLMs, AWS production experience

[ANALYSIS_REPORT] **LOW** [3-pro] Role is for a Research/Lead Scientist profile focusing on deep learning architectures (Transformers, GNNs). Candidate is an Applied Engineer/Integrator, not a Researcher. **Strengths:** Python, Problem solving, Real-world impact focus **Critical Gaps:** Lack of 5-7+ years pure AI/ML research experience, No demonstrated experience training foundation models from scratch **Missing Required:** 5-7+ years in applied AI/ML, Deep expertise in Deep Learning architectures

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] OLX Staff ML role requires senior engineering leadership with proven ML research and production systems at scale. Candidate lacks formal ML background, Staff-level seniority, and large-scale system experience. **Strengths:** Python + SQL, Data analysis, Systems thinking **Critical Gaps:** Staff engineering seniority, ML research and modeling, Large-scale system architecture **Missing Required:** Conhecimentos em ML, LTR, Ranking, Staff-level experience, Desenvolvimento de software profissional

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] BairesDev big consulting requires 3+ years formal ML Engineering experience with production model deployment. Candidate has LLM integration but lacks model training, ML pipelines, and formal engineering title. **Strengths:** Python programming, Data preprocessing experience, English fluency **Critical Gaps:** Formal ML Engineering background, Production ML systems, ML model lifecycle management **Missing Required:** 3+ anos ML Engineering experience, Bibliotecas ML (TensorFlow, PyTorch, scikit-learn)

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] TCS role requires 4-5 years AI/ML engineering with Microsoft-specific stack (Copilot, Azure AI, M365). Candidate completely lacks Microsoft ecosystem experience and formal AI/ML engineering background. **Strengths:** LLM integration concepts, English fluency **Critical Gaps:** Microsoft AI stack expertise, Copilot development experience, Azure cloud production **Missing Required:** 4-5 anos AI/ML engineering, Microsoft 365 Copilot experience, Azure AI Foundry, Microsoft certifications

[ANALYSIS_REPORT] **MEDIUM** [3-pro] Strong match for the specific 'LLM Application' duties (LangChain, Agents). However, the hard requirement for '5+ years SWE' is a significant ATS hurdle given the candidate's mixed job titles. **Strengths:** LangChain/LlamaIndex usage, Python, Agentic workflows, Remote work experience **Critical Gaps:** Years of Experience: '5+ Years' specifically in Software Engineering titles **Missing Required:** 5+ Years of experience working with Python development, 2+ Years of experience working with Cloud infrastructure

[ANALYSIS_REPORT] **MEDIUM** [3-pro] Duplicate listing. Strong match for LLM Application duties, but '5+ years SWE' requirement is a hurdle. **Strengths:** LangChain/LlamaIndex, Python, Agentic workflows **Critical Gaps:** Years of Experience: '5+ Years' specifically in Software Engineering titles **Missing Required:** 5+ Years SWE experience, 2+ Years Cloud infrastructure

[ANALYSIS_REPORT] **TOP** [3-pro] Excellent match. The '3+ years' requirement aligns perfectly with the Founder/Freelance timeline. The 'Job Market Intelligence' tool is a direct proof-of-work for 'Agentic Architecture' & 'Data consumption'. **Strengths:** Agentic Architecture (proven in resume), Python, GenAI/LLM Integration, Soft skills: 'Explorer profile', 'Communication'

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4.5] Junior-level NLP/MLOps role with Python requirement aligns with candidate's LLM integration experience. However, Capgemini consulting culture and missing deep learning/NLP production experience reduce match quality. **Strengths:** Python proficiency, LLM integration, Engineering degree, English fluency **Critical Gaps:** Formal NLP background, Deep Learning frameworks **Missing Required:** Experiência com NLP avançado, Deep Learning aplicado a texto, Transformers (Hugging Face), PyTorch

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4.5] Python and LLM integration experience align with GenAI focus (LangChain, agents, RAG). Missing formal AI Engineer title and production experience with GenAI frameworks, but consulting role may value proof-of-work. **Strengths:** Python solid, LLM integration, English advanced, Systems architecture thinking, Agent concepts from portfolio **Missing Required:** Experiência em produtos LLMs corporativos, Frameworks GenAI (LangChain, LangGraph), AI Observability