Senior Analyst, Artificial Intelligence

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Vetta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2001

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Vetta é um centro de excelência em digitalização industrial, especializado na oferta de soluções para otimização de energia e sustentabilidade. A empresa, parte do grupo alemão SMS group, utiliza tecnologias de software e expertise em processos para aprimorar a eficiência operacional das indústrias. Vetta oferece serviços que reduzem a pegada de carbono de seus clientes, melhoram a gestão de energia e promovem a automação e digitalização de operações industriais.

📋 Description

• Design data architectures and AI solutions for different use cases • Develop and modernize data pipelines, ensuring quality, scalability, and performance • Work with large volumes of data in a dynamic, global environment • Evaluate and determine the best approaches among Machine Learning, Deep Learning, and LLMs • Develop generative AI solutions, intelligent automation, and integrations with LLMs • Work with data platforms such as Databricks and cloud environments, especially AWS and Azure • Ensure the quality, integrity, and availability of data to support developed solutions • Evaluate and select frameworks, languages, and tools considering cost, performance, and scalability • Contribute to data governance and integrate solutions with existing architectures • Assess technical impacts of new features, technologies, and tool changes • Collaborate with various stakeholders to build new data-driven digital products • Work in an environment of continuous technological evolution, facing challenges related to product engineering, data, and Artificial Intelligence

🎯 Requirements

• Bachelor's degree; postgraduate or Master's in Business, Computer Science, Data Science, Engineering, or a related field • Design, develop, and optimize ETL/ELT data pipelines using Databricks, Spark, PySpark, Python, and SQL • Perform ingestion, transformation, cleaning, and standardization of large volumes of data • Develop, train, validate, and optimize Machine Learning models using scikit-learn, including regression, decision trees, and clustering • Build and manage Machine Learning pipelines with MLflow, ensuring governance, traceability, and model monitoring • Perform tuning, monitoring, and performance analysis of models and AI solutions • Develop Generative AI and LLM solutions, integrating traditional ML models with architectures such as RAG, semantic/vector search, embeddings, and response ranking • Implement and integrate solutions using LangChain, LlamaIndex, and vector databases • Develop applications following Object-Oriented Programming (OOP) principles and software engineering best practices • Work with cloud environments in Azure and/or AWS, including scalable and secure clusters and services • Apply DevOps and CI/CD best practices in the development, deployment, and maintenance of solutions • Participate in agile ceremonies, contributing to technical planning and sprint execution • Work on the integration of Data, Machine Learning, Generative AI, and Software Engineering, turning business needs into scalable solutions • Experience with CAD/Computer-Aided Design, 3D/digital modeling, parametric modeling, solids, surfaces, assemblies, technical drawing/drafting, DMU/Digital Mock-Up, BOM/product structure, and engineering workflows integrated with PLM is a plus • Advanced English; Spanish or French is a plus

🏖️ Benefits

• Flash card with meal allowance of R$ 32.00 per day • Home office allowance of R$ 100.00/month • Flexible working hours • SulAmérica health insurance plan • Bradesco dental plan, with possibility to include dependents • WellHub, TotalPass, and UniCamente, providing access to fitness activities and health professionals • Onhappy, offering discounts on accommodation, travel, and experiences • Guapeco pet health insurance plan • Discounts and Rewards Club • Extended maternity and paternity leave • Profit-sharing (PLR) according to the union table • Birthday day off • No dress code • Continuous training and professional development incentive program • Employee referral program