Job Summary: Architect, develop, and operationalize AI and Machine Learning solutions to transform complex agribusiness data into scalable and reliable models, generating value and driving technological innovation. Key Highlights: 1. Develop and optimize Machine Learning and Generative AI models. 2. Apply modern MLOps practices to ensure performance and stability. 3. Serve as a technical reference and collaborate with diverse teams. Architect, develop, and operationalize Artificial Intelligence and Machine Learning solutions, transforming complex agribusiness data into scalable and reliable models that deliver real business value, support strategic decision-making, and drive Agrofel’s technological innovation. **Responsibilities and Duties** * Develop, train, and optimize Machine Learning and Generative AI models (including LLMs and RAG pipelines) to solve real business problems. * Evaluate and select the best technical approaches for each challenge, focusing on outcomes and scalability. * Design and implement autonomous AI agents and AI-based automations, ensuring quality, traceability, and efficiency across end-to-end workflows. * Ensure model deployment, monitoring, and maintenance in production, with emphasis on performance, stability, and scalability. * Apply modern MLOps practices: CI/CD, data/model versioning, experiment tracking, and safe rollback strategies. * Serve as a technical reference within the team, supporting complex architectural decisions and elevating the technical proficiency of data engineering and AI colleagues. * Collaborate with business, product, and engineering teams to translate requirements into viable, high-impact technical solutions. * Promote a culture of quality, security, and governance in AI solution development, ensuring best practices for metadata access and management. * Contribute to creating documentation, standards, and processes that enhance analytical maturity and team productivity. **Requirements and Qualifications** * Postgraduate degree preferred. * Proven, solid experience in Artificial Intelligence and Machine Learning projects in production environments. * Proficiency in Python and its key data and AI libraries (scikit-learn, PyTorch, TensorFlow, LangChain or similar). * Advanced hands-on experience with Generative AI: LLMs, RAG, fine-tuning, as well as building and orchestrating agentic workflows and automations for complex processes. * Experience with MLOps: deployment, monitoring, versioning, and full lifecycle management of production models. * Practical knowledge of the Databricks ecosystem (MLflow, Unity Catalog, Databricks Model Serving, etc.). * Experience with cloud platforms (AWS or Azure) and distributed data environments. * Ability to work with large-scale data and complex pipelines; familiarity with Medallion Architecture is a plus. * Senior profile: high autonomy, systemic vision, excellent communication skills, and strong technical leadership capability. **Additional Information** * Meal voucher or food allowance * Unimed Health Insurance Plan * Uniodonto Dental Insurance Plan * Health and wellness programs * Wellhub/Gympass * Pluxee Cuida (legal, financial, and social support) * Pharmacy discount program * Life insurance * Annual Profit Sharing (PLR). We are an agribusiness company founded nearly five decades ago. We stand alongside farmers throughout every stage of production—from planting to harvest—operating grain terminals, agricultural input supply stores, and offering financial solutions for agribusiness. We operate across Southern Brazil. At Agrofel, a new page is written each day—where creativity and determination unite to cultivate innovative solutions for rural producers. #### **Mission:** Provide sustainable solutions to our customers, from planting to selling their harvest. #### **Our Values:** **Value Creation:** We pursue entrepreneurship focused on delivering value to our customers, suppliers, and shareholders through innovative actions that ensure our sustainability and growth. **Passion for Our Work:** We work with dedication and diligence, fostering teamwork and recognizing internal talent. **Customer Focus:** We uphold the highest level of commitment, respect, and appreciation for our customers, striving to satisfy their needs. **Ethics:** We fully fulfill our responsibilities, demonstrating transparency and fairness toward all stakeholders. **Socio-Environmental Responsibility:** We act in support of sustainable development, promoting social initiatives that improve quality of life in the communities where we operate.
João Silva
Indeed · HR
João Silva
Indeed · HR
