Join to apply for the Machine Learning Engineer role at Netvagas.We are seeking a talented Machine Learning Engineer to join our AI Solutions team, responsible for applying machine learning techniques to innovative projects, helping to build intelligent solutions for our products and clients.If you are passionate about technology, data, and seeking growth opportunities in the field, this is the perfect role for you.ResponsibilitiesDesign, develop, and implement machine learning models to solve diverse business problems.Automate and optimize processes related to the model lifecycle: experimentation, training, deployment, and monitoring in production.Collaborate with Data Science, Data Engineering, and Product teams to ensure efficient model integration into systems.Ensure scalability, efficiency, and reliability of machine learning solutions in production environments.Participate in defining MLOps architectures and pipelines for automation and governance.Monitor model performance and adjust parameters as data and business objectives evolve.Document solutions, best practices, and contribute to continuous improvement of processes and standards.Research and implement new techniques and tools to drive innovation in machine learning.RequirementsComplete or ongoing degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.Proficiency in Python or other suitable programming languages for machine learning.Experience with machine learning and deep learning libraries/frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).Knowledge of statistics, supervised and unsupervised learning fundamentals.Experience with version control (e.g., Git) and software development practices.Understanding of deployment and monitoring of models.DifferentialsPractical experience with MLOps and automation tools (e.g., MLflow, Kubeflow, Airflow).Knowledge of cloud computing (AWS, Azure, GCP), especially AI/ML services.Experience with containers and orchestration (Docker, Kubernetes).Implementation of scalable and secure machine learning solutions in production.Participation in NLP, computer vision, or recommendation systems projects.Professional ProfileAnalytical mindset and problem-solving orientation.Proactive approach to solutions and continuous process/model improvement.Strong collaboration and communication skills for technical and non-technical audiences.Organized, responsible, and detail-oriented in delivering robust solutions.Interest in continuous learning and staying updated on ML innovations.If you identify with this opportunity, apply now! Our process values skills, potential, and diverse experiences.SenioridadeEntry levelTipo de contrataçãoFull-timeÁrea de atuaçãoEngineering and Information TechnologyIndústriaHuman Resources Services
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