Data Scientist I
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Job Description
Cientista de Dados desenvolvendo soluções de visão computacional na Experian, empresa global de dados e tecnologia. Criando modelos de IA, pipelines MLOps e aplicações em nuvem para transformar imagens e vídeos em insights.
Responsibilities:
- Develop, implement, and enhance Artificial Intelligence solutions focused on Computer Vision
- Develop models for object detection, classification, segmentation, and tracking in images and videos
- Design, train, and optimize deep neural networks using CNNs, Transformers, and generative models
- Build and maintain pipelines for the preparation, processing, annotation, and augmentation of visual data
- Conduct model experimentation, evaluation, and validation by defining metrics and monitoring performance indicators
- Apply transfer learning, fine-tuning, and hyperparameter optimization
- Develop scalable, high-quality code in Python
- Implement MLOps processes for model versioning, monitoring, packaging, and deployment
- Optimize and compress models for edge and embedded devices
- Use cloud computing and GPU-based infrastructure
- Collaborate with product, engineering, and business teams
- Stay up to date with trends, research, and emerging technologies in AI, Machine Learning, and Computer Vision
- Support the dissemination of technical knowledge and the professional development of team members
Requirements:
- Bachelor’s degree in Computer Science, Engineering, Data Science, Statistics, or a related field
- Solid experience in Computer Vision, Machine Learning, and Deep Learning
- Proficiency in Python and advanced experience with PyTorch
- Knowledge of MLOps, model deployment, and cloud computing (AWS, Azure, or GCP)
- Experience with SQL/NoSQL databases and large volumes of data
- Analytical, collaborative, and problem-solving mindset
- Strong command of the Data Science and AI library ecosystem
- Knowledge of TensorFlow/Keras
- Graduate degree or specialization in AI, Data Science, or a related field is a plus
Benefits:
- Inclusive, purpose-driven environment
- Opportunities to balance career with personal commitments and interests
- Focus on well-being
- Exceptional experiences and career opportunities
- An increasingly better workplace for our talent
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