Analista de Dados e Inteligência Artificial Pleno - Copel - Companhia Paranaense de Energia
Core
Collect, transform, and analyze large volumes of data to train and optimize Machine Learning and Deep Learning models for business applications.
Role type
Mid-level Machine Learning Engineer
Builds
Production ML models, data pipelines, and AI-driven automation solutions for Copel's operational efficiency.
Domain
Energy sector (Utilities) + Machine Learning & Data Engineering
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Scikit-learn, Pandas, SQL, NoSQL, NLP, Computer Vision, MLOps (MLflow, Kubeflow, Vertex AI), ETL pipelines, API development, Cloud (Google Cloud Platform), Hyperparameter tuning, Data visualization
Preferred skills
Google Professional Machine Learning Engineer/Data Engineer certification, TensorFlow Developer Certificate, Intermediate English
Technologies
TensorFlow, PyTorch, Keras, Spark, Hadoop, BigQuery, MySQL, PostgreSQL, MongoDB, Flask, FastAPI, Power BI, Tableau, Looker, Docker, Kubernetes, SHAP, LIME
Responsibilities
Develop, train, and optimize ML/Deep Learning models; Create and maintain scalable data pipelines; Integrate AI models into corporate systems via APIs; Monitor and adjust production models for performance; Research and implement new AI techniques; Ensure data governance and security; Collaborate with data scientists and business teams; Document models and methodologies.
Seniority
Mid-level (Pleno), hands-on IC
