Website Arco Educação
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Data Scientist at Arco Educação, Remote (Global)
What challenges will you face with us?
- Create, orchestrate, and evaluate AI Agents, integrating language models with external tools;
- Develop RAC-based solutions to enrich contexts and improve the quality of responses;
- Utilize agent orchestration frameworks to structure automation pipelines;
- Connect and integrate agents via MCP, internal and external APIs;
- Develop prompt engineering and design reasoning chains for different workflows;
- Systematically evaluate agent pipelines using automated metrics and human feedback;
- Develop and implement supervised and unsupervised machine learning models to support data-driven solutions;
- Manipulate and analyze data in different formats;
- Develop REST APIs in Python for deployment and integration of ML/AI models;
What we expect you to have:
- Bachelor’s degree in Statistics, Computer Science, Engineering, Economics, or related fields;
- Experience in Python and SQL, as well as experience in cloud environments (AWS or GCP);
- Knowledge of RAG, retrieval pipelines, and embeddings;
- Experience in Prompt Engineering and multi-agent flow design;
- Technical and theoretical knowledge of classic Machine Learning and Artificial Intelligence models.
One of Arcotech’s pillars is diversity. Our motivation is to keep moving forward, innovating and taking educational technologies to unprecedented levels. To achieve this, we believe in the power of the word equity and in respecting equal rights. Here, we recognize singularities, differences, and embrace everyone.
What you’ll find at Arco, besides amazing people:
- Food and/or meal allowance
Health and dental plan - Transportation voucher
- Extended maternity and paternity leave
- Childcare assistance
- Health care: partnership with Wellhub and Zenklub
- Encouraging education
- Discounts on airline tickets
- Partnership with pet health insurance plan
- Access to Arco educational materials for employees’ children
- Partnerships for MBA and Postgraduate programs
More Diversity
To apply for this job please visit job-boards.greenhouse.io.
