Senior Data Scientist – Artificial Intelligence

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Transform intricate business challenges into scalable, contemporary, and result-oriented data solutions.

• Develop and assess statistical and Machine Learning models.

• Create Generative AI solutions utilizing RAG, embeddings, vector search, and prompt engineering.

• Prepare datasets, conduct feature engineering, and train and validate models.

• Transition analytical or AI solutions from prototype stages to full production.

• Maintain quality, monitoring, security, performance, cost-effectiveness, and governance throughout the model lifecycle.

• Work with both structured and unstructured data.

• Collaborate with Product Managers, Architects, Engineers, Data Governance teams, and domain experts.

• Convert real-world requirements into scalable and dependable solutions.

• Contribute to Keyrus projects in Data Science, Machine Learning, and Artificial Intelligence.

⛳️ Requirements

• Bachelor's or advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline.

• Over 5 years of professional experience in developing and implementing Data Science, Machine Learning, or Artificial Intelligence solutions.

• Proficient in Python, including libraries such as pandas, NumPy, scikit-learn, and relevant Deep Learning or Generative AI frameworks.

• Hands-on experience in data preparation, feature engineering, model training, validation, error analysis, and performance evaluation.

• Proven experience in transitioning analytical or AI solutions from prototype to production.

• Practical knowledge of Git, testing, code reviews, documentation, APIs, and CI/CD methodologies.

• Experience with cloud-based data and AI platforms, preferably SageMaker, Databricks, or similar technologies.

• Familiarity with MLOps practices, including experiment tracking, model versioning, deployment automation, and monitoring.

• Solid understanding of Large Language Models (LLMs), embeddings, vector databases, RAG, and the evaluation of Generative AI solutions.

• Excellent communication skills and the ability to work collaboratively with Product Managers, Architects, Engineers, Data Governance teams, and domain experts.

• Self-reliant, with strong critical thinking abilities and a dedication to continuous learning.

🏝️ Benefits

• Opportunities for professional development in Data Science, Machine Learning, and Artificial Intelligence.

• Flexibility of remote work.

• An international and multicultural work environment.

• Collaboration with teams spanning various specialties, functions, and regions.

• Emphasis on knowledge sharing and continuous improvement.

• Exposure to global projects and intricate business challenges.