Senior Machine Learning Analyst | Nova Lima – MG

Description

Job Summary: We are seeking a Senior Machine Learning Analyst to develop, deploy, and evolve Machine Learning models in production. Key Highlights: 1. Bridging the gap between modeling and engineering 2. Developing and validating Machine Learning models 3. Contributing to MLOps practices **Job Description:** We are seeking a Senior Machine Learning Analyst to develop, deploy, and evolve Machine Learning models in production within a modern, scalable, and results-oriented data environment. This role is ideal for professionals who enjoy bridging modeling and engineering—ensuring models are reliable, monitorable, traceable, and sustainable in production, thereby supporting strategic decision-making and the evolution of products and processes. ### **Key Responsibilities:** * Develop, train, and validate Machine Learning models (supervised and/or unsupervised) * Implement and maintain the model lifecycle in production (deployment, versioning, testing, and automation) * Build and enhance data and feature pipelines for training and inference * Support serving routines (batch and/or near real-time) * Contribute to MLOps practices: monitoring, traceability, drift detection, and alerting * Conduct exploratory analyses and propose analytical solutions to business problems * Collaborate with Data, Analytics/BI, and Product teams to deliver consumable outputs (tables, metrics, scores, APIs) * Document models, technical decisions, pipelines, and assumptions * Support continuous improvements in performance, reliability, and maintainability * Contribute, where applicable, to applied AI initiatives across the data ecosystem. ### **Requirements:** * Prior experience as a Machine Learning Engineer or similar role * Bachelor’s degree in Engineering, Computer Science, Statistics, Mathematics, or related fields * Proficiency in Python and strong software development practices (organization, testing, version control) * Practical knowledge of supervised and unsupervised ML * Familiarity with libraries such as scikit\-learn or similar * Experience in data preparation and feature engineering * Strong communication skills for collaboration with both technical and business teams * Organized, responsible, and committed to continuous learning. ### **Preferred Qualifications:** * Experience with MLOps practices (CI/CD, pipelines, model registry, monitoring) * Knowledge of SQL and analytical environments * Experience with dataset versioning and experiment reproducibility * Experience with time series, classification, regression, or recommendation systems * Experience working in agile environments (Scrum/Kanban) * Familiarity with modern data architectures and governance * Experience with applied AI solutions (chatbots, text classification, summarization, intelligent automation). ### **What We Expect From This Role:** * Autonomy in delivering well-defined scope items * Commitment to model quality, sustainability, and reliability * Engineering mindset with operational accountability * Collaborative attitude and focus on solution efficiency. **Work Location:** Hybrid model – Office in **Nova Lima – MG** Learn more about W1: **w1\.com.br/w1\-consultoria** Join the **W1 Team!** **Location****Employment Type****Work Model** Nova Lima, MG, BR PJ Contractor Hybrid