13 Empregos para Machine learning - Ipatinga

üEngenheiro de Machine Learning (nível Sênior) – 1 vaga

Responsabilidades:

Será responsável por desenvolver, implementar e otimizar modelos de aprendizado de máquina, colaborando com equipes multidisciplinares para resolver problemas complexos usando dados. Conhecimentos avançados em engenharia de prompts, no fim, ajudar a empresa na tomada de melhores decisões para projeto.

Experiencia:

⁻Experiência comprovada em machine learning: Ter um histórico sólido na área de aprendizado de máquina.

⁻Proficiência em linguagens de programação: Saber programar em Python, Java, R, entre outras.

⁻Conhecimento em frameworks de ML: Familiaridade com ferramentas como TensorFlow, Keras, PyTorch,Spacy, Transformer e outros.

⁻Habilidades analíticas e de resolução de problemas: Capacidade de identificar e resolver problemas complexos de dados

⁻Conhecimentos avançados em engenharia de Prompts.

Requisitos:

⁻Projetar e desenvolver sistemas de aprendizado de máquina.

⁻Executar testes e experimentos.

⁻Implementar algoritmos de ML.

⁻Pré-processamento de dados

⁻Treinar e ajustar modelos.

A Job? Or a Lifetime Experience? Start Yours Here!

Our mission is to be a meaningful part of our people's careers. As we grow, so does our determination to offer the best experience to our employees and clients — and that’s exactly what drives us. We are a Portuguese technology consulting company with offices in Lisbon, Porto and Óbidos, and representations in Brazil and Tunisia. We have over 12 years of market expertise, and today we are a universe of around 400 people working on-site, remotely or in hybrid mode in projects across 20+ countries.

We believe that great people make successful companies, and that’s why we stand for the appreciation, recognition and growth of our professionals.

We don’t want to be just another line on your CV — we want you to live a Lifetime Experience with us. We invest in training and certifications that confirm your real progression, in promoting a healthy work-life balance, and in offering benefits that impact your personal life and career.

#welcometoyourfuture

What we’re looking for:

• 5+ years in Data Engineering , ML or MLOps roles (with ML/AI in production)
• Strong Python skills (CI/CD, API deployment, data workflows)
• Experience with Docker , Kubernetes , GitLab CI , Jenkins
• Hands-on with MLOps tools (e.g., MLflow, DVC), cloud or hybrid environments
• Deep understanding of ML lifecycle, governance, and operational challenges
• Clear communication and ownership mindset. Comfortable leading cross-functional projects
• English : Professional working proficiency required (B2/C1)

Nice to have :

• Coding : Bash / YAML / SQL
• Experience of developing and deploying Agentic tools
• Experience working with security teams or implementing IAM and data protection policies
• French B2

Being Affinity

• #Affinity – Creating close and empathetic relationships with colleagues, clients and candidates (and not just with technologies, languages and platforms). Team spirit and good vibes;

• #Ambition – Wanting to do more and better. A drive to exceed expectations and evolve personally and professionally;

• #Action – Energy to make things happen. Showing proactiveness and initiative;

• #Learning – Willingness to grow individually and collectively and to become an expert in the tech market;

• #Assertiveness – Transparent and honest communication, always with constructive feedback.

Your #LifetimeExperience

• Taking part in national and international projects in a company based on personal relationships, simplicity and efficiency, with a disruptive approach to the tech market;

• Accessing a career and training plan tailored to your performance and interests;

• Being part of a welcoming, trustworthy, respectful and informal environment;

• Joining our Affinity Communities (sports, tech, hobbies, etc.) and actively participating in social and environmental responsibility projects;

• Taking advantage of a range of benefits, partnerships, discounts, events and internal dynamics.

Beyond your professional satisfaction, we want to offer you memorable moments of leisure and connection, worthy of an Affinity experience.

Join the Experience!

Send us your application and take the opportunity to get to know us and follow along at:

Sobre a Eixo X (Product Builder)

Somos uma product builder de IA. Criamos e escalamos produtos digitais, próprios e em co-criação com clientes. Começamos por MVPs enxutos para validar rápido e, em paralelo, entregamos a estratégia de produto com roadmap, plano de execução, aquisição e experimentos de growth, além dos próximos marcos após a validação. Atuamos de ponta a ponta, do discovery ao delivery: desenhamos o caminho e construímos o produto. Operamos em modo AI-first e low-code-first, o que acelera muito a entrega. Estamos criando um canal de educação em IA que impulsiona a geração de demanda e abre espaço real de crescimento para quem entra no time.

Sobre o Relaciona.ai

Plataforma que transforma conversas de vendas e pós-venda em dados e insights acionáveis .

Agenda acompanhamento para manter relacionamento com o cliente , ofertando um serviço premium ou revenda automática .Entrega agentes de IA com Lead Score (pré-venda), Engagement Score (pós-venda) e insights (objeções/dúvidas e inteligência de campanhas).

Momento atual: migrar automações low-code (n8n) para serviços em Python , ganhar robustez/observabilidade e preparar escala.

Missão do cargo

Construir e evoluir o backend do Relaciona.ai em Python , transcrevendo fluxos do n8n para serviços próprios e ajudando a escalar o produto. No escopo da vaga, você também atuará em projetos da product builder (MVPs rápidos e apoio CTOaaS ) e poderá contribuir com demos/protótipos ligados ao nosso canal edtech/comunidade de IA .

O que você vai fazer

• Criar o sistema omnichannel da empresa , com base em um sistema whitelabel/open source.
• Criar APIs e serviços em Python para qualificação de leads, follow-ups e geração de insights.
• Migrar fluxos existentes no n8n para Python , de forma incremental (com testes, logs e monitoramento).
• Tratar eventos de conversas, aplicar regras e alimentar Lead Score e Engagement Score .
• Integrar com ferramentas de mercado (CRM, agenda, mensageria) via APIs/Webhooks .
• Montar dashboards simples (métricas de vendas/pós, objeções, desempenho de campanhas).
• Em frentes de product builder : participar de MVPs (do rascunho ao piloto) e apoiar CTOaaS (descoberta técnica, arquitetura enxuta, entregas rápidas).
• Criar provas de conceito/demos que conectem o produto ao nosso canal edtech de IA .

Importante: não precisa saber tudo no dia 1. Valorizamos clareza, entrega incremental e vontade de aprender .

Você se encaixa se…

• É apaixonado por construir produtos.
• Quer respirar IA , fazer a diferença no mercado e no futuro do desenvolvimento de software.
• Tem experiência sólida com Python em produção (APIs e/ou jobs/rotinas).
• Já integrou sistemas via REST/Webhooks e lida bem com JSON e autenticação.
• Sabe trabalhar com bancos relacionais (modelagem básica, consultas, migrações).
• Gosta de simplificar : transformar problemas grandes em entregas pequenas e mensuráveis.
• Curte medir resultado (ex.: “depois desse ajuste, o FRT caiu 18%”).
• Comunica bem, documenta o essencial e pensa como dono(a) de produto .

Vai somar pontos se você tiver

• Experiência com tarefas em segundo plano e filas/mensageria .
• Conhecimento, interesse ou mestrado em machine learning e data science.
• Familiaridade com FastAPI (ou frameworks web em Python).
• Noções de modelagem de score (regras + pesos) ou interesse por dados/insights .
• Vivência com low-code /n8n e migrações para código.
• Contato com dados de campanhas (UTM, funil) e dashboards .

Como será seu começo 

• Primeira etapa: setup local, entender fluxos no n8n, entregar o 1º serviço Python espelhando um fluxo (com testes e logs).
• Segunda etapa: Programar 2–3 fluxos críticos (qualificação, follow-up); liberar Lead Score v1 e métricas básicas.
• Terceira etapa: Migrar o sistema omnichannel para o relaciona.ai
• Quarta etapa: Engagement Score v1 , insights (top objeções/dúvidas) e um dashboard simples. Em paralelo, colaborar em 1 MVP do product builder ou apoio CTOaaS ; se fizer sentido, preparar demo para o canal edtech.

Por que essa cadeira é especial

• Trilha real de crescimento : seu escopo expande com a performance , tanto no Relaciona.ai quanto em outros produtos da product builder e no canal edtech de IA .
• Ambiente AI-first : aprendizados e entregas aceleradas, com autonomia e suporte.
• Flexibilidade de modelo e horário (PJ ou CLT) e exposição multiproduto (produto próprio, MVPs e consultoria).

Como se candidatar

Chame no contato: ( e conte:

• O que mais te motivou e quer saber sobre a vaga, empresa e nossos projetos?

Nosso cliente é um líder global no setor de consultoria e desenvolvimento de soluções para impulsionar a transformação digital da indústria financeira. São parceiros estratégicos de fintechs, bancos, seguradoras, empresas de pagamento digitais e altos executivos. Nosso cliente está presente em 13 países: Estados Unidos, Brasil, Argentina, Chile, Uruguai, México, Equador, Colômbia, Venezuela, Peru, Panamá, Inglaterra e Espanha.

Algumas das empresas que trabalham com eles: Microsoft, Google, Mastercard, Credicorp Bank, Zurich, Geidea, Sura, Binaria, Santander, Bind, C6, Superdigital, PagoNxt, Assegur, Coopeuch, Adtomic, Argentina Virtual.

Reconhecimentos:

-Startup of the Year, Microsoft.

-World Class Technology Startup, The New York News.

-Top 10 Fintech Provider, CFO Tech Outlook.

-Top Digital Consulting Service Firm, CIO Outlook.

REMUNERAÇÃO

BRL 18K/mês (PJ)

MODELO DE TRABALHO

Remoto

DESCRIÇÃO DA VAGA

• Analisar grandes conjuntos de dados para extrair insights relevantes;
• Desenvolver modelos preditivos, alinhados com as necessidades dos times de produto;
• Pesquisar e propor novas metodologias de modelagem compatíveis com o projeto;
• Relacionar continuamente com áreas de interface de modo a manter todos os stakeholders comunicados e informados;
• Propor estudos e indicadores de impacto a saúde do negócio e relacionados ao sucesso do associado;
• Acompanhar o ciclo de vida dos modelos, incluindo implantação, monitoramento e governança;
• Ser um promotor da ciência de dados, compartilhando e expandindo o conhecimento e trabalhando na cultura de dados da organização.

REQUISITOS E QUALIFICAÇÕES

• Ter experiência prévia com Machine Learning ou Modelagem Estatística;
• Trabalhar bem em equipes multidisciplinares;
• Experiência com Python;
• Preferência para graduação em área quantitativa como Computação, Economia, Engenharias, Estatística, Matemática e afins;
• Desejável experiência com Ciência de Dados aplicada a Meios de Pagamento (Cartões, Pix, Cheques);
• Desejável experiência com Databricks;
• Experiência com Processamento de Linguagem Natural é um diferencial;
• Experiência com Visão Computacional é um diferencial;
• Experiência com MLOps.

When you think of InComm Payments, think of Innovative Payments Technology. We were founded over 30 years ago and continue to be a pioneer in the payment (FinTech) industry. Since our inception, we have grown to be a team of over 3,000 employees in 35 countries around the world. We own over 400 global technical patents and a network that includes over 525,000 points of retail distribution that points to our industry expertise.

InComm Payments is highly focused on our people and their growth, and we work hard to make a career at InComm Payments meaningful and rewarding. We value innovation, quality, passion, integrity and responsibility in all that we do, and we are looking for great people to join our team as we move forward towards a very bright future. We anticipate developing future leaders for our teams in Brazil!

You can learn more about InComm Payments by visiting our Website or connecting with us on LinkedIn, YouTube, Twitter, Facebook, or Instagram.

About This Opportunity:

As a Fraud Business Analyst Intern, you will play a key role in strengthening our fraud defenses by supporting process audits, rule tuning, and data-driven investigations. This role focuses on validating the effectiveness of existing Robotic Process Automations (RPAs), Accertify rules, and anomaly detection signals. You will work closely with Fraud Technology, Decision Sciences, and Anomaly Detection teams to review logic, test controls, and recommend improvements.

This position is ideal for a detail-oriented individual with strong analytical skills and a passion for fraud prevention and operational risk reduction.

Why Join InComm?

• Paid Internship
• 30-hour work week, Monday – Friday
• Real-world experience with a leading global company
• Mentorship, professional development, and networking opportunities
• Discover highlights from our internship program on Instagram — follow us @InCommInterns

Responsibilities:

• Assist in auditing and validating existing fraud rules configured in the Accertify platform
• Support quality assurance reviews of RPAs related to fraud monitoring and decision-making
• Collaborate with the Anomaly Detection team to analyze triggers and evaluate false positives/negatives
• Help design and test Splunk dashboards and data visualizations for fraud alerts and system monitoring
• Document and report gaps or inefficiencies in current detection logic or process automations
• Perform basic root cause analysis of anomalous behavior and support process remediation
• Participate in fraud case reviews, helping to translate operational observations into structured findings

Qualifications:

• Pursuing a degree in Business Analytics, Finance, Information Systems, Criminal Justice, or a related discipline within your penultimate or final year of study.
• Above average academic track record
• Strong attention to detail and a process-oriented mindset
• Exposure to data analysis tools (e.g., Excel, SQL, Python) and visualization platforms (e.g., Power BI, Splunk)
• Interest in fraud prevention, financial crimes, or enterprise automation
• Ability to communicate clearly and professionally, both in writing and verbally
• Proficiency with the English language
• Must be self-motivated, ability to prioritize effectively and not shy away to seek guidance when you are blocked on a task
• Ability to work with large teams; Willing and capable of learning new tools and technologies

InComm provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran’s status, age, disability status, genetics or any other category protected by federal, state, or local law.

We are seeking a fractional Data/AI Specialist to support our sales team on a per-hour/contract basis . This role will primarily serve as a Sales Engineer , providing technical expertise during sales calls and helping prospects understand the value of our data-driven solutions.

Key Responsibilities

• Join sales calls as the technical expert, answering customer questions and providing deep product and data/AI insights.
• Support the sales team in designing solutions that align with client needs.
• Deliver demos, proof-of-concepts, and presentations tailored to prospects.
• Collaborate with sales and product teams to ensure a smooth handoff of technical requirements.
• Advise on best practices and integration paths for customers exploring data/AI solutions.

Qualifications

• Strong background in Data/AI, personalization, or customer data platforms (CDPs) .
• Hands-on experience with BlueShift is highly preferred.
• Previous experience in a Sales Engineer, Solutions Engineer, or Pre-Sales capacity.
• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Comfortable working fractionally on a per-hour, on-demand basis .

Why Join

• Flexible, remote, contract opportunity.
• Work with a fast-moving team and contribute to closing high-impact opportunities.
• Chance to shape data/AI strategy in front of major clients.

Responsabilidades

• Projetar, construir e manter a infraestrutura e os pipelines de ML utilizando Azure e Databricks .
• Desenvolver ferramentas, bibliotecas e automações para otimizar o treinamento, validação, implantação e monitoramento de modelos .
• Colaborar com cientistas de dados, engenheiros de dados e equipes de DevOps para criar fluxos de trabalho de ML padronizados e reproduzíveis.
• Otimizar o processamento distribuído de dados e cargas de treinamento de modelos no Databricks utilizando PySpark, MLflow e outras ferramentas de MLOps .
• Implementar sistemas robustos de monitoramento e alertas para garantir a performance dos modelos de ML e a qualidade dos dados .

Requisitos do Perfil

• Ser fluente ou falante nativo dos idiomas inglês.
• Experiência sólida com plataformas em nuvem , preferencialmente Azure , incluindo serviços como Azure ML, Azure Data Lake, Azure Functions e Azure DevOps .
• Forte experiência prática com Databricks, MLflow e Spark .
• Proficiência em Python , com bom entendimento de boas práticas de engenharia de software (testes, CI/CD, revisões de código, etc.).
• Experiência em construir e manter pipelines de ML em produção .
• Familiaridade com conceitos e ferramentas de MLOps (feature stores, registries de modelos, frameworks de deployment).
• Fortes habilidades de resolução de problemas e capacidade de atuar de forma colaborativa e multifuncional .

Long term, contract to hire position with a major financial firm.

REMOTE.

Payrate: 80 - 100 / hr

Requisition for Senior Machine Learning Engineer (Generative AI Focus)

Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective.

• Key Responsibilities:Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings.
• Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations.
• Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation).
• DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency.
• Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance.
• Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads.
• Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems.
• Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently.
• Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments.

Qualifications:

• Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred
• At least five years' experience as a machine learning engineer, deploying models in production
• Strong proficiency in Python and software engineering principles.
• Solid understanding of machine learning fundamentals and model lifecycle management.
• Experience with cloud platforms, containerization, and infrastructure management.
• Familiarity with DevOps practices and automation tools.
• Expertise in GenAI frameworks, prompt engineering, and model serving.
• Ability to manage GPU/TPU resources and optimize model serving frameworks.
• Experience in developing agentic systems and multi-agent architectures.
• Proven track record in cost optimization in AI deployments.

Impact & Purpose: We are committed to attracting the best and brightest talent who are driven by impact and purpose. The Senior Machine Learning Engineer will play a crucial role in advancing our GenAI capabilities, pushing the boundaries of innovation while ensuring practical application and scalability. If you are passionate about transforming theoretical AI models into impactful real-world solutions, we invite you to join our team.