Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4] WMS Senior focus aligns with supply chain background but lacks SAP integration experience which is preferred differential. **Strengths:** warehouse operations understanding, process analysis, systems implementation

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4] Startup ERP implementation role matches implementation experience. Eloca's growth stage values practical delivery over formal credentials. **Strengths:** ERP implementation experience, client training, go-live management

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4] Oracle ERP functional analysis matches business-technical bridge role, but lacks Oracle platform experience entirely. **Strengths:** process mapping expertise, stakeholder management, business-IT translation **Critical Gaps:** Oracle platform knowledge **Missing Required:** 5 years functional analyst experience

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] AI/LLM engineering role completely outside domain. Requires CS degree and years of ML production experience which candidate lacks. **Strengths:** Python scripting, data analysis **Critical Gaps:** CS/engineering degree, machine learning background, software engineering experience **Missing Required:** CS degree, ML production experience, Python ML expertise

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Duplicate of previous AI/LLM role - same company, same requirements, same mismatch. **Strengths:** Python scripting, data analysis **Critical Gaps:** CS/engineering degree, machine learning background, software engineering experience **Missing Required:** CS degree, ML production experience, Python ML expertise

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Third duplicate of Beegol AI/LLM role with identical requirements mismatch. **Strengths:** Python scripting, data analysis **Critical Gaps:** CS/engineering degree, machine learning background, software engineering experience **Missing Required:** CS degree, ML production experience, Python ML expertise

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Fourth Beegol duplicate with identical AI/LLM requirements gap. **Strengths:** Python scripting, data analysis **Critical Gaps:** CS/engineering degree, machine learning background, software engineering experience **Missing Required:** CS degree, ML production experience, Python ML expertise

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Fifth Beegol duplicate - same AI/LLM engineering role mismatch. **Strengths:** Python scripting, data analysis **Critical Gaps:** CS/engineering degree, machine learning background, software engineering experience **Missing Required:** CS degree, ML production experience, Python ML expertise

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] EY AI engineering role requires deep technical background and enterprise consulting experience. Financial services context provides some overlap but technical gap is massive. **Strengths:** financial domain knowledge, Python basics **Critical Gaps:** AI/ML engineering degree, generative AI expertise **Missing Required:** technology degree, LLM experience, enterprise AI development

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Another Beegol AI/LLM duplicate with same requirements mismatch. **Strengths:** Python scripting, data analysis **Critical Gaps:** CS/engineering degree, machine learning background, software engineering experience **Missing Required:** CS degree, ML production experience, Python ML expertise

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Continued Beegol duplicate with same AI/LLM mismatch pattern. **Strengths:** Python scripting, data analysis **Critical Gaps:** CS/engineering degree, machine learning background, software engineering experience **Missing Required:** CS degree, ML production experience, Python ML expertise

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] EVT AI Engineer role in Campinas with hybrid model, but still requires deep AI/ML background candidate lacks entirely. **Strengths:** Python programming, API development **Critical Gaps:** AI engineering background, machine learning expertise **Missing Required:** AI experience, GenAI development, cloud platforms

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Final Beegol duplicate with same AI/LLM requirements mismatch. **Strengths:** Python scripting, data analysis **Critical Gaps:** CS/engineering degree, machine learning background, software engineering experience **Missing Required:** CS degree, ML production experience, Python ML expertise

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] FCamara Python GenAI role shows some Python overlap but requires deep AI development expertise for construction tech applications. **Strengths:** Python automation, business process understanding **Critical Gaps:** generative AI expertise, software development background **Missing Required:** solid Python experience, GenAI knowledge, software engineering

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Swift AI Developer role in food industry with some business context overlap, but core AI development gap remains critical. **Strengths:** business operations understanding, process optimization **Critical Gaps:** AI development experience, machine learning background **Missing Required:** AI development experience, LLM expertise, technical background

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Avenue Customer AI Engineer for fintech applications. Financial context provides some overlap but technical AI gap is insurmountable. **Strengths:** financial domain knowledge, client experience **Critical Gaps:** AI engineering degree, conversational AI expertise **Missing Required:** CS degree, AI agent experience, production AI systems

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] RCB debt collection AI role has financial context overlap but requires specialized AI development for autonomous negotiation agents. **Strengths:** financial domain understanding, business process knowledge **Critical Gaps:** AI/NLP expertise, software engineering background **Missing Required:** AI development experience, NLP expertise, autonomous systems

[ANALYSIS_REPORT] **MEDIUM** [3-pro] Strong geographical and role fit (Remote from Brazil, AI/GenAI), but lacks specific 'Agentic' framework keywords (Semantic Kernel, AutoGen). Candidate's 'Job Market Intelligence tool' demonstrates required core competency (LLM integration, scraping) but resume lacks the specific framework jargon. **Strengths:** Python, LLM Integration, API Integrations, Automated workflows **Missing Required:** Proven hands-on experience building agentic GenAI systems, Azure specific stack

[ANALYSIS_REPORT] **LOW** [3-pro] Generic 'body shop' listing requiring standard Big Data stack (Spark) and 5+ years of pure Machine Learning title experience. Candidate is a Systems/mechatronics engineer who uses ML, not a 'Machine Learning Developer' with Spark/Deep Learning history. **Strengths:** Python, Statistical Forecasting, English level **Critical Gaps:** Title mismatch (Financial Analyst/Founder vs ML Developer), Missing 'Spark' hard requirement **Missing Required:** 5+ years of experience in Machine Learning, Strong coding skills in Spark

[ANALYSIS_REPORT] **LOW** [3-pro] Duplicate of previous BairesDev job. Same analysis applies: candidate lacks specific Big Data/Spark experience and formal ML titles required by high-volume recruitment agencies. **Strengths:** Python, Remote readiness **Critical Gaps:** Title mismatch, Missing Spark **Missing Required:** 5+ years of experience in Machine Learning

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Senior ML/DL Engineer role requiring extensive technical background and advanced mathematics which candidate completely lacks. **Strengths:** data analysis basics **Critical Gaps:** CS/mathematics degree, ML/DL expertise, technical engineering background **Missing Required:** technology degree, ML/DL experience, statistical background

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.1] Perfil combina engenharia, automação e Python com experiência prática em sistemas em produção e integração com LLMs, o que alinha bem com um papel amplo de AI/ML Engineer. Faltam, porém, sinais explícitos de modelagem estatística clássica e de frameworks de machine learning, o que reduz a aderência frente a candidatos com histórico formal em ML. **Strengths:** formação em Engenharia alinhada ao requisito acadêmico, forte experiência em automação, dados e Python/Node.js com soluções em produção, integração com LLMs e construção de ferramentas de inteligência que aproximam do escopo de AI Engineer

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4] Gabriel security startup ML Engineer role with computer vision focus completely outside candidate's domain expertise. **Strengths:** systems thinking, problem-solving **Critical Gaps:** ML engineering background, computer vision expertise, technical degree **Missing Required:** ML production experience, CV expertise, technical background

[ANALYSIS_REPORT] **LOW** [3-pro] Staff-level expectations in a large telecom enterprise usually demand PhD/Masters in CS and very specific deep learning stack (Keras/TensorFlow). Candidate's 'Staff' equivalent experience is in Operations/Supply Chain, not pure ML Engineering. **Strengths:** Python, Statistical Analysis, Business problem solving **Critical Gaps:** Staff level engineering experience in a large tech org, Formal CS/Stats degree preferred **Missing Required:** Proficiency in Keras/TensorFlow/PyTorch, Experience with machine learning deployment frameworks

[ANALYSIS_REPORT] **HIGH** [3-pro] Strong domain overlap. Role needs 'Fintech/Insurance' back-office automation, which matches candidate's 'Financial Analyst' and 'Procurement' background perfectly. Technical requirements (Python, Workflow automation, RAG) match his recent work. **Strengths:** Financial/Regulated industry experience, Workflow automation (n8n/Make matches logic), RAG pipelines (Job tool), Compliance-first mindset **Missing Required:** 3-5+ years in AI/ML engineering title