Data Science Analyst – AI (Mid-level)

🕒 May 5

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

banco BV

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1993

💸 Finance

🏦 Banking

💳 Fintech

💰 Debt Financing on 2022-07

Finance • Banking • Fintech

banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.

📋 Description

• Train and evaluate models and prompts, perform fine-tuning, optimize chunking and tokenization, detect biases, conduct adversarial prompt testing, and select 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 model quality, robustness, and security metrics; • Collaborate as a Subject Matter Expert with engineers and architects to ensure safe integration into production pipelines.

🎯 Requirements

• 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 to optimize context handling; • Embeddings and RAG: selection, evaluation, and integration with retrieval/search mechanisms; • Bias & Fairness: techniques for detecting and mitigating bias; • Security and Robustness: adversarial testing and jailbreak prevention; • Tools and Frameworks: ADK, CrewAI, Agno, LangChain, LangGraph.

🏖️ Benefits

• Hybrid model — 2 days per week in São Paulo office • CLT employment (Brazilian formal employment contract) • Flexible working hours