Mid-level Data Science Analyst – AI

banco BV

Data Science Analyst specializing in generative AI models and optimizing data processes at Banco BV, a leading Latin American financial institution.

Posted 7/13/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in training and evaluating Generative AI models, including LLMs and multimodal models, with a strong focus on fine-tuning, prompt engineering, and bias detection. Proficient in implementing tokenization and chunking strategies while ensuring ethical compliance and security in model integration.

Highest-signal resume keywords

Generative AI ModelsFine-Tuning and Prompt EngineeringTokenization and ChunkingBias & FairnessSecurity and Robustness

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Fine-TuningPrompt EngineeringTokenizationChunkingBias DetectionAdversarial TestingModel EvaluationHyperparameter TuningEmbeddings SelectionRAG Integration

Tools & Technologies

ADKCrewAIAgnoLangChainLangGraph

Industry Keywords

LLMsDiffusion ModelsTransformer ArchitecturesReinforcement Learning from Human FeedbackEthical Compliance

About the role

Key responsibilities & impact

Work on training and evaluating models and prompts, fine-tuning, optimization of chunking and tokenization, bias detection, adversarial prompt testing, and selection of embeddings (supporting RAG);
Train and evaluate generative AI models, including LLMs and multimodal models;
Develop and optimize prompts, including adversarial testing and risk mitigation;
Perform fine-tuning and hyperparameter tuning to maximize performance;
Implement chunking and tokenization strategies for efficiency and quality;
Detect and remediate biases in data and models, ensuring ethical compliance;
Select and validate embeddings for RAG (Retrieval-Augmented Generation) applications;
Monitor quality, robustness, and safety metrics for models;
Collaborate as a subject-matter specialist with engineers and architects to securely integrate models into production pipelines.

Requirements

What you’ll need

Generative AI Models: LLMs, diffusion models, Transformer architectures;
Fine-tuning and Prompt Engineering: advanced techniques, RLHF (Reinforcement Learning from Human Feedback);
Tokenization and Chunking: strategies for context optimization;
Embeddings and RAG: selection, evaluation, and integration with retrieval/search mechanisms;
Bias & Fairness: techniques for detecting and mitigating biases;
Security and Robustness: adversarial testing, jailbreak prevention;
Tools and Frameworks: ADK, CrewAI, Agno, LangChain, LangGraph.

Benefits

Comp & perks

Remote work model
CLT employment (Brazilian statutory employment contract)
Flexible working hours