Machine Learning Engineer / CS / São Paulo - SP

**Machine Learning Engineer / CS / São Paulo \- SP** **Our mission – Health for all, Hunger for none – is at the heart of everything we do.** Now, imagine a workplace where your voice truly matters. A place where you're invited to take part in decisions, where your unique skills and knowledge guide the projects you join. Here, leaders are more than managers – they’re mentors and coaches, walking alongside you. And with innovation and planning cycles as quick as 90 days, we’re always moving forward, together. With our new way of working, called Dynamic Shared Ownership (DSO), we’re building a more agile, less bureaucratic organization – one that’s focused on creating real value for everyone: farmers, patients, consumers, employees, investors, and society as a whole. At Bayer, Diversity and Inclusion aren’t just buzzwords – they’re core values we live by every day. We believe that when people from different backgrounds come together, amazing things happen. Diverse teams spark creativity, drive innovation, and make our workplace more welcoming for everyone. If you’re someone who wants to shape your own path, who values creativity and brings a spirit of innovation – you’ll feel right at home here. Come be part of this journey. Be yourself. We are Bayer. **This job position is preferable designated for people of color (POC)** **GET TO KNOW OUR AREA:** Agronomic Services at Bayer Seed \& Traits is dedicated to unlocking the full potential of our portfolio by elevating customer experience and accelerating innovation in growers’ fields. We combine commercial research, agronomic expertise, and data‑driven approaches to ensure consistent product launch and positioning. As a strategic bridge between R\&D and Product \& Customer Teams, we bring innovation to real‑world grower conditions and generate actionable insights. This role is part of the Analytics \& Modeling squad, responsible for generating insights and supporting data‑driven decisions through analytics and automation, within a diverse, collaborative, and flexible environment **YOUR MISSION WILL BE TO:*** Build, test, and deploy ML models (classification, regression, optimization, recommendation). * Create scalable training pipelines and batch/real\-time inference flows. * Convert prototype notebooks into sustainable, production\-level services. * Develop CI/CD pipelines for ML models and datasets. * Implement model performance monitoring, data drift, and feature drift detection. * Build and maintain feature stores and model registries. * Collaborate closely with Data/Analytics Engineers to define feature pipelines and data flows. * Ensure data quality, reproducibility, and version control for ML workloads. * Participate in system architecture decisions for data and model services. * Optimize model training and inference (computational efficiency, latency, memory usage). * Apply distributed processing techniques when needed (Spark, Ray, multi\-node training). * Deploy ML services in the cloud using microservices, containers, and API endpoints. * Document models, assumptions, data dependencies, and operational procedures. * Ensure compliance with fairness, security, and governance standards. * Contribute to code reviews and engineering best practices. **ARE YOU READY FOR THE POSITION?** * Degree in Computer Science, Engineering, Statistics, Data Engineering, or related field. * Background in data engineering, systems development, or related functions. * Advanced proficiency in Python and major ML frameworks (scikit\-learn, TensorFlow, PyTorch). * Strong experience building and operating ML workflows in the cloud (AWS SageMaker preferred). * Solid foundation in software engineering (Git, testing, CI/CD, design patterns). * Hands\-on experience with MLOps tools (MLflow, Kubeflow, Airflow, Feast or similar). * Experience with Docker and Kubernetes in production environments. * Strong understanding of distributed computing (Spark, Ray) and pipeline design. * Ability to design system architecture and make scalable technical decisions. * Knowledge of data governance, quality, security, and compliance principles. * Proficiency in Spanish and/or Portuguese for regional collaboration. * Key behavioral skills: clear communication with diverse stakeholders, autonomy, problem\-solving, prioritization in agile cycles (90 days), and ability to mentor peers. **What else you’ll find here:** At Bayer, we care deeply about the well\-being of our people. That’s why our benefits are built around three essential pillars: **integrated health, financial well\-being, and life balance**. Together, they support a healthier, more fulfilling life – inside and outside of work. Here’s a glimpse of what we offer: * Encouragement for a healthy lifestyle * Support in identifying and monitoring physical and mental health risks * Initiatives focused on health promotion, prevention, and care * Real balance between personal and professional life * Guidance for personal financial planning * Insurance and private pension plans to help you build a secure future And of course, we also offer a full range of market\-standard benefits, including **medical and dental care, life insurance, meal benefits, Wellhub (formerly Gympass) and Total Pass**. **What makes us different:** * **Flexible/hybrid work model**\* * **Short Fridays** and extended holiday breaks\* * **Flexible vacation planning** (within legal guidelines) * **Language courses** – Free access to standard courses through our partner Education First (EF), in multiple languages like English, Spanish, German, French, Portuguese, and Swedish * **Pharmacy subsidy** – 50% discount on Bayer over\-the\-counter products, and full coverage for prescription Bayer medications * **Conte Comigo** – A support program offering psychological assistance, help with substance dependency, and legal and financial counseling * **Bem Nascer** – A special package of exclusive benefits for new parents * **Childcare assistance** – Additional support for parents welcoming a new child * **Parental leave** – A benefit designed to strengthen family bonds, offering equal opportunities for all parents, regardless of gender identity or family structure * **Private pension plan** – A long\-term savings plan with a 200% company match on your contributions * **Unico Skill:** an educational hub offering 26,000\+ courses from 90\+ renowned institutions, including undergraduate and graduate programs, MBAs, short courses, mentoring, and language classes. * **Benefits may vary depending on your role and location.** **Período disponível para candidatura:** 27/02/2026 until 11/03/2026 **Referência:** 861577 **Divisão:** Crop Science **Local:** Brasil : São Paulo : São Paulo **Área Funcional:** Marketing **Nível da Posição:** VS 1\.2 **Grupo de Contratação****:** Regular **Horário de Trabalho****:** Comercial