Cientista de Dados IA
Accountabilities: The Cientista de Dados IA will be responsible for designing, developing, and implementing advanced data science and artificial intelligence solutions. The role requires strong technical expertise, business understanding, and the ability to deliver scalable AI models while collaborating with multidisciplinary teams.
Lead the complete end-to-end lifecycle of Data Science and Machine Learning projects, including business understanding, data preparation, modeling, evaluation, and deployment.
Develop and architect Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, and AI service integrations.
Perform exploratory data analysis (EDA), processing and transforming large volumes of structured and unstructured data.
Build, validate, and optimize Machine Learning and Deep Learning pipelines focused on scalability, performance, and reliability.
Apply Software Engineering and MLOps best practices to ensure model quality, testing, maintainability, and continuous deployment.
Collaborate with technical and business stakeholders to translate complex challenges into high-impact analytical solutions.
Continuously improve AI solutions by applying innovative methodologies and emerging technologies.
Requirements:
The ideal candidate has strong experience in Data Science, Machine Learning, and Artificial Intelligence, with the ability to combine analytical thinking, programming expertise, and business understanding. We are looking for a professional who is comfortable working with advanced AI technologies and delivering production-ready solutions.
Minimum of 5 years of solid experience working in Data Science and Machine Learning.
Advanced or fluent English proficiency, including reading, writing, and professional communication.
Strong knowledge of Data Science fundamentals, including exploratory data analysis, statistical and predictive modeling, and model evaluation metrics.
Advanced programming skills in Python and experience with data and machine learning ecosystems such as pandas, scikit-learn, PyTorch, Keras, and OpenCV.
Strong practical experience with SQL, data manipulation, cleaning, and transformation processes.
Practical knowledge of Generative AI, including LLMs, RAG architectures, Prompt Engineering, and AI services such as OpenAI and AWS Bedrock.
Experience working with cloud environments, preferably with AWS.
Strong understanding of Software Engineering practices, including Git version control, CI/CD pipelines, and unit testing.
Ability to collaborate effectively with technical teams and business stakeholders.
Benefits:
Meal allowance or food allowance.
Discounts on courses, universities, and language institutions.
Access to an online learning platform with free, updated courses and certifications.
Mentoring opportunities.
Benefits club for medical consultations and exams.
Health insurance.
Dental insurance.
Discounts and exclusive offers from partner establishments.
Travel benefits program.
Pet care partnership benefits.
Fully remote work model.
Inclusive workplace open to professionals with disabilities.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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