AI Engineer creating generative AI solutions using ML for conversational products like WhatsApp and Twilio at Stone. Collaborating within an agile environment to deliver innovative solutions.
Responsibilities
The person will create generative AI and machine learning solutions for conversational products using WhatsApp and Twilio, including direct involvement in prompt engineering, software engineering, data analysis, and model development.
We work in an agile model focused on delivering results through experiments and short validation cycles. Therefore, we are looking for someone who enjoys and is comfortable working in a dynamic, metrics-driven environment and who follows strong software engineering best practices.
Requirements
Extensive experience in Python, designing and experimenting with ML models;
Experience with projects involving LLMs and prompt engineering;
Conducts consistent and clear quantitative analyses, from problem framing through presentation of results;
Documents and communicates data-driven insights to colleagues from diverse backgrounds;
Participates in fast iterative cycles related to training/tuning, testing, and deploying models;
Familiar with NLP techniques, information retrieval, and optimization;
Willing to collaborate with a multidisciplinary team to define, design, implement, and evolve machine learning models and pipelines;
Availability to work in a hybrid model in FlorianΓ³polis, SC.
π₯ Hospital Virtual Verde: we provide a multidisciplinary medical team, therapists, and a healthcare team available 24/7 for quick and convenient support
π₯ Meal Allowance and/or Food Voucher
π» Remote Work Support + Initial Setup (exclusive for remote positions)
π Flexible Hours
β Education Benefit β Internal platform with access to books, podcasts, trainings, and video lessons for self-development (Studa and StoneCo Library)
πͺ Gympass
πΆ Childcare Assistance
π° Profit Sharing (PLR)
π Life Insurance
π Transportation Voucher (exclusive for on-site positions)
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