Cientista de Dados Sênior
Jobgether
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This role on the market
4 open cientista roles across 2 companies are on ApplySarthi right now.
What cientista roles keep asking for: Azure (100%), Machine learning (100%), Python (100%), AWS (75%), GCP (75%), SQL (75%), Power BI (50%), Tableau (50%) — counted across their open postings here.
Azure jobs · CI/CD jobs · Generative AI jobs · LLMs jobs
Jobgether has 4,586 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for cientista roles keep coming back to Azure, Machine learning, Python, AWS. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with Azure? Tell me one thing you learned the hard way.
- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
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Practise the Cientista de Dados Sênior at Jobgether interview free →Accountabilities:: Design, develop, and implement intelligent AI agents, copilots, and Generative AI solutions using the Microsoft Azure ecosystem. Build both embedded and standalone AI agents, integrating artificial intelligence capabilities into existing enterprise applications and corporate systems. Develop and implement Retrieval-Augmented Generation (RAG) architectures to improve the accuracy, relevance, and contextual understanding of AI-generated responses. Leverage Azure AI Foundry, Azure OpenAI, and Azure AI Search to develop, deploy, and manage advanced AI-powered applications. Implement Function Calling, Model Context Protocol (MCP), and API integrations to enable AI agents to interact with external services, tools, and enterprise systems. Develop and maintain AI applications using Python, following software engineering best practices. Enrich, fine-tune, adjust model weights, and train proprietary Large Language Models (LLMs) to meet specific business requirements. Build scalable and reliable AI solutions within the Microsoft Azure cloud environment. Apply version control, CI/CD pipelines, and development best practices to ensure efficient deployment, maintenance, and continuous improvement of AI applications. Collaborate with technical teams and business stakeholders to identify opportunities for AI implementation and translate requirements into practical solutions. Contribute to accelerating enterprise-wide AI adoption by delivering innovative, secure, and scalable intelligent applications. Requirements: Strong professional experience in Artificial Intelligence, Machine Learning, Data Science, or AI Engineering, particularly in developing Generative AI solutions. Hands-on experience with Microsoft Azure AI services, especially Azure AI Foundry, Azure OpenAI, and Azure AI Search. Proven experience designing and developing AI agents, copilots, and agent-based architectures. Strong understanding of Retrieval-Augmented Generation (RAG) and its practical implementation. Experience with Function Calling, Model Context Protocol (MCP), and integration of AI solutions with external APIs and enterprise systems. Proficiency in Python for developing and maintaining AI-powered applications. Experience building, deploying, and managing AI applications within Microsoft Azure environments. Knowledge of Large Language Models (LLMs), including model enrichment, fine-tuning, weight adjustment, and training of proprietary models. Familiarity with Git, CI/CD pipelines, version control, and modern software development practices. Strong analytical and problem-solving skills, with the ability to translate complex business challenges into effective AI solutions. Good communication and collaboration skills, with the ability to work effectively with multidisciplinary technical teams. Proactive mindset, adaptability, and enthusiasm for emerging AI technologies and continuous innovation. Nice to Have: Experience with AI development frameworks such as Semantic Kernel, LangChain, AutoGen, or CrewAI. Knowledge of Azure Functions, Azure Logic Apps, and serverless computing services. Microsoft AI certifications. Residence in the Belo Horizonte Metropolitan Region (Região Metropolitana de Belo Horizonte). Benefits: Health Insurance: Medical coverage to support your health and well-being. Dental Insurance: Dental coverage for ongoing oral healthcare. Meal or Food Allowance: Flexible food or meal voucher to support everyday expenses. Employee Benefits Club: Access to an extensive network of exclusive discounts, services, and special offers. Remote Work: Fully remote working arrangement, providing flexibility and convenience. Professional Development: Opportunities to work with advanced AI technologies and contribute to innovative projects. Inclusive Workplace: Equal opportunities for professionals with disabilities.
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Listed on lever · posted 2026-11-10. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.