Job Summary: We are looking for a Data Scientist / ML Engineer passionate about coding and applying generative AI and Machine Learning to industrial data, building data pipelines and developing models. Key Highlights: 1. Apply generative AI and Machine Learning to industrial data. 2. Work with data pipelines and ML models in real-world scenarios. 3. Develop and evaluate Machine Learning models (classification, regression). We are seeking someone who truly enjoys coding and wants to apply generative AI and Machine Learning in an industrial data context (production, quality, maintenance, machine events). This is an opportunity for those eager to deepen their expertise in applied AI, working with data pipelines, ML models, and LLMs in real-world settings. **Ideal for candidates who:** \-Enjoy both modeling and deploying models to production \-Follow AI / LLM benchmarks, research papers, tools, and news \-Want to see models making a tangible impact on real processes—not just in notebooks **Your Responsibilities:** \-Build data pipelines (ingestion, cleaning, transformation, aggregations) using industrial data \-Develop and evaluate Machine Learning models (classification, regression, anomaly detection, etc.) \-Work with generative AI / LLMs in workflows combining text and structured data \-Design and execute evaluations (Evals) for ML models and generative AI components \-Collaborate with engineering teams to expose models via APIs and services, ensuring performance and cost-efficiency \-Monitor metrics and propose continuous improvements to models **Requirements:** \-1–3 years of experience as a Data Scientist, ML Engineer, or similar role \-Strong proficiency in Python (pandas, numpy, scikit-learn, etc.) \-Experience with SQL and relational databases \-Knowledge of classical ML (metrics, validation, overfitting, etc.) and basic statistics \-Some experience deploying models to production (APIs, scheduled jobs, scripts, containers) \-Experience with generative AI / LLMs (using APIs, prompt engineering, best practices) **Preferred Qualifications:** \-Experience with industrial data (sensors, manufacturing processes, machine events) \-Experience with MLOps (monitoring, experiment tracking, retraining) \-Strong motivation to continuously study and test new AI approaches **MUST RESIDE IN FLORIANÓPOLIS-SC** Employment Type: Full-time, CLT Compensation: R$5.000,00 \- R$8.000,00 per month Benefits: * Health insurance * Fuel allowance * Commercial partnerships and discounts * Life insurance * Food allowance * Meal voucher * Transportation allowance Work Location: Hybrid remote work for Florianópolis, SC