CR
CreditasCientista de Dados Sênior
Data Scientist analyzing data for innovative solutions at Creditas. Focus on statistical modeling and machine learning for business improvement.
About the role
- Lead end-to-end development of ML/DL models from data preprocessing to model deployment.
- Design and implement advanced solutions using computer vision, NLP, and generative AI models (e.g., Transformers, GANs).
- Apply and experiment with agentic AI approaches to build autonomous decision-making systems.
- Collaborate with engineering, product, and business stakeholders to align AI solutions with business outcomes.
- Work with large-scale datasets and implement MLOps pipelines for automated training, evaluation, and deployment on cloud (Azure preferred).
- Stay up to date with the latest AI research and apply state-of-the-art techniques in production systems.
- Mentor junior data scientists and contribute to AI knowledge sharing across teams.
Requirements
- 8+ years of industry experience in data science, ML, or AI, with demonstrated project ownership.
- Proficiency in Python and frameworks like TensorFlow, PyTorch, OpenCV, scikit-learn, etc.
- Strong background in generative models (e.g., LLMs, GANs, VAEs) and foundational ML techniques.
- Expertise in computer vision, including object detection, image classification, and segmentation.
- Experience in implementing agentic AI systems using modern orchestration tools and frameworks.
- Hands-on experience with Azure AI services (e.g., Azure ML, Cognitive Services, Azure OpenAI, Azure Blob for data handling).
- Solid understanding of MLOps practices (CI/CD, version control, model registry, monitoring).
- Strong analytical, problem-solving, and communication skills.
- Master’s in Computer Science, Data Science, or related field (preferred).
- Experience working in cloud-native AI environments (Azure, AWS, or GCP) (preferred).
- Exposure to vector search engines, knowledge graphs, and retrieval-augmented generation (RAG) (preferred).
- Publications, patents, or active participation in AI communities or open-source contributions (preferred).
Benefits
- Varied, interesting and meaningful work.
- A hybrid working environment with flexibility and great opportunities.
- Opportunities for training and, as the team grows, career progression or sideways moves.
- An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.
Job title
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Degree requirement
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