Role Description Buscamos um(a) profissional para liderar a construção de soluções de IA aplicada ao domínio de cadastro e dados mestres (MDM), com atuação ponta a ponta — da concepção à implementação. Essa pessoa será responsável por identificar oportunidades de uso de IA, propor soluções e implementá-las em ambiente produtivo, com foco em geração de valor para áreas como crédito, comercial e governança de dados. - Definir e implementar soluções de IA e Machine Learning para análise de dados cadastrais; - Desenvolver mecanismos de detecção de anomalias em dados cadastrais; - Monitorar eventos relevantes, como alterações societárias, CNAE e porte de empresas; - Criar soluções de IA generativa para recomendação de regras de negócio e governança de dados; - Integrar modelos e soluções com plataformas de MDM (Master Data Management); - Construir pipelines de dados e serviços para suportar inferência em produção; - Atuar junto às áreas de negócio para identificar oportunidades e traduzir problemas em soluções técnicas; - Garantir qualidade, escalabilidade e governança das soluções implementadas. Qualifications - Experiência com Python e desenvolvimento de soluções de dados ou Machine Learning; - Vivência prática com Machine Learning aplicado (além de teoria); - Experiência com engenharia de dados (ETL/ELT, pipelines, manipulação de dados estruturados); - Conhecimento em modelos de linguagem e IA generativa (LLMs); - Experiência com ambientes cloud (Azure, AWS ou GCP); - Conhecimento em APIs e deploy de modelos em produção. Requirements - Experiência com MDM ou governança de dados; - Conhecimento em dados cadastrais, crédito ou risco; - Experiência com detecção de anomalias; - Vivência com ferramentas como Databricks, Spark ou similares. Benefits - Vales Alimentação e Refeição (Swile); - Flexibilidade para crédito em Auxílio Home-Office (Swile); - Cobertura de até 100% em Plano de Saúde e Odontológico; - Seguro de Vida em grupo; - Trabalho remoto; - Convênio Saúde Mental - psicoterapia online e presencial; - Incentivo a certificações e cursos; - Convênio para cursos de pós-graduação e MBA (Esalq/USP); - Parceria com escolas de idiomas; - Parceria com academias e apps de bem-estar (Wellhub); - Palestras e rodas de conversa internas; - Bônus por indicação; - Happy hours; - Mimos em datas comemorativas.

Our team is passionate about leveraging AI, cloud platforms, and modern development practices to build cutting-edge applications. We are seeking a talented ML/AI Engineer to build AI tools with real users on Google Cloud Platform (GCP). The ideal candidate will have experience with Google AI tools such as Vertex AI, Contact Center AI (CCAI), and Document AI (DocAI). Responsibilities: - Develop and implement AI tools on GCP that are tailored for real users. - Utilize Google AI tools like Vertex AI, CCAI, and DocAI to create and optimize AI models. - Collaborate with cross-functional teams to understand user needs and translate them into technical requirements. - Conduct data preprocessing, feature engineering, and model training and evaluation. - Deploy, monitor, and maintain AI models in production environments. - Write clean, maintainable, and efficient code. - Stay up-to-date with emerging technologies and industry trends in AI and machine learning.

• Serve as the technical reference for ML/AI and data within the Investment Products Community, influencing architecture standards and product decisions across the company. • Define the technical vision and roadmap for AI/ML products and solutions, prioritizing by impact, risk, and feasibility, in alignment with key stakeholders. • Design and implement data and ML pipelines (training, evaluation, inference) with a focus on reliability, performance, and observability. • Evolve agent and multi-agent architectures (orchestration, memory, tools, guardrails, and security), balancing cost, latency, and quality. • Implement guardrails and security and privacy best practices (LGPD — Brazilian Data Protection Law, DLP, access control, mitigation of prompt injection). • Conduct trade-off analyses and architecture decisions (build vs. buy, platform vs. service) with a FinOps and scalability perspective.

Machine Learning Engineer II (Remote) remote type Remote locations Kohl's Corporate Offices (0900) time type Full time job requisition id R470499 Role Specific Information Job Description About the Role In this role, you will focus on MLOps, supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem. What You’ll Do - Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling - Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency - Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation - Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle - Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development - Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure - Develop, document, and communicate implementations and best practices across the data science lifecycle - Manage and communicate cloud infrastructure costs and budgets to project stakeholders - Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps - Additional tasks may be assigned What Skills You Have Required - Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks - Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field - Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments - 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery - In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc. - Extensive expertise with CI/CD and IaC best practices - Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL - Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) - Experience working in Agile environments with an emphasis on iterative development and continuous delivery Preferred - Master’s Degree  - Proficiency in Java or other languages - Retail experience - E-commerce experience - 5+ years of experience in Machine Learning - Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming) - Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents Essential Functions The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship. - Ability to perform the accountabilities listed in the “What You’ll Do” Section - Ability to comply with dress code requirements - Basic math and reading skills, legible handwriting, and basic computer operation - Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company - Ability to learn and comply with all company policies, procedures, standards and guidelines - Ability to receive, understand and proactively respond to direction from leadership and other company personnel - Ability to work as part of a team and interact effectively and appropriately with others - Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes - Ability to satisfactorily complete company training programs - Ability to use a personal computer for tasks such as communicating, preparing reports, etc. - Ability to plan, prioritize and monitor activities across business units - Ability to complete or oversee the completion of assigned projects in a timely manner