Senior Data Scientist – Generative AI

🕒 June 22

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Minerva Foods

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1992

🍽️ Food & Beverage

🏭 Manufacturing

🌾 Agriculture

💰 $100M Post-IPO Debt - Minerva Foods on 2023-09

Food & Beverage • Manufacturing • Agriculture

Minerva Foods is a leading South American producer and exporter of fresh meat and meat-derived products, with more than 30 years of experience in the production and commercialization of beef, lamb and processed meat lines. The company operates across the full value chain — from relationships with cattle ranchers and traceability programs to industrial processing, branded products, retail and foodservice channels, and export markets — and also maintains related businesses including biodiesel, leather, casings, ingredients and energy. Minerva emphasizes sustainability, animal welfare, low-carbon and carbon-neutral product lines, and corporate governance and investor relations.

📋 Description

• Develop solutions and agents based on large language models (LLMs) for integration into the company's products, processes, and services; • Perform fine-tuning and customization of pre-trained models; • Design and implement data pipelines for model training and evaluation, including preprocessing, tokenization, and dataset curation; • Integrate generative AI models with corporate systems, APIs, and business workflows; • Explore and apply RAG (retrieval-augmented generation), embeddings, and hybrid architectures; • Monitor and evaluate model performance using appropriate metrics; • Propose continuous improvements to the systems;

🎯 Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Mathematics, Statistics, or related fields; • Postgraduate degree, MBA, or Master's in Artificial Intelligence, Machine Learning, Data Science, or Cognitive Computing (preferred); • Knowledge of language models, including their limitations and capabilities; • Proficiency in Python; • Familiarity with the AI model lifecycle: development, deployment, and monitoring; • Proficiency with version control tools; • Strong communication skills to explain technical approaches to non-technical audiences;

🏖️ Benefits

• Remote work • Proactivity, curiosity, and continuous learning • Opportunity to develop solutions based on natural language models • Integration of generative AI models into corporate systems