Quod

Data Scientist – Generative AI Specialist

Quod

full-time

Posted on:

Location Type: Remote

Location: Brasil

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About the role

  • Develop technical solutions that meet business requirements, aiming to create scalable and high-performance applications;
  • Develop batch systems and REST APIs in Python based on provided documentation, creating applications that meet user requirements;
  • Maintain web portals;
  • Identify and fix incidents and maintain systems according to problem descriptions and log analysis;
  • Prepare technical documentation for implemented solutions;
  • Write unit tests;
  • Interact with the business area to clarify business requirements, validate developed systems, and provide technical input in alignment meetings;
  • Experience with Agile methodologies is desirable;
  • Develop and evaluate generative AI (LLMs) solutions applied to real business problems such as product recommendation, document analysis, chatbots, and collections strategies;
  • Conduct experiments to optimize models, including prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) techniques;
  • Define and implement evaluation metrics for generative models (e.g., quality, factuality, consistency, and bias);
  • Perform robust statistical analyses to validate results, including hypothesis testing, confidence intervals, and simulations;
  • Identify risks and propose solutions to mitigate hallucinations, biases, and reliability issues.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or Engineering. Postgraduate degree or specialization in related areas is a plus.
  • Preferably more than 5 years of experience developing data products, ideally with prior exposure to the Financial sector;
  • Previous experience as a Data Scientist working on advanced modeling and generative AI projects;
  • Experience with structured and unstructured data;
  • Experience in production environments and working with multidisciplinary teams;
  • Experience with cloud environments;
  • Required knowledge of microservices architecture;
  • Python 3.x (advanced);
  • FastAPI and Flask frameworks;
  • Swagger / OpenAPI;
  • GIT;
  • Docker;
  • Relational and non-relational databases;
  • Unit testing;
  • Familiarity with CI/CD concepts and cloud-based microservices on AWS;
  • AI/NLP frameworks: Hugging Face, Transformers, or similar;
  • Generative AI concepts:
  • LLMs
  • Embeddings
  • RAG
  • LangChain
Benefits
  • Meal and grocery vouchers (flexible allocation between meal and grocery allowance);
  • Health: Bradesco medical plan extendable to dependents, with co-payment;
  • Dental plan;
  • Gym allowance;
  • Childcare allowance for children up to 2 years old;
  • Life insurance;
  • Annual profit-sharing bonus (PLR) paid based on achievement of established targets;
  • For employees working in a hybrid model we offer Mobility Allowance (parking and fuel); for fully remote employees we provide a Home Office Allowance;
  • Private pension plan;
  • Professional development through UniQuod with excellent courses, plus partnerships with various educational institutions.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Python 3.xFastAPIFlaskSwaggerOpenAPIGITDockerrelational databasesnon-relational databasesunit testing
Soft Skills
interpersonal skillscommunication skillsproblem-solvingcollaborationanalytical skills
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Data ScienceBachelor’s degree in StatisticsBachelor’s degree in MathematicsBachelor’s degree in Engineering