AI-Data Engineer - OpenAI & Azure Fabric

As an AI-Data Engineer at DaCodes, you will design and implement integrations with the OpenAI API, train customized models for specific business cases, and create and maintain Data Lakes in Azure Fabric. Your role will involve extracting and preparing data from relational and non-relational databases to leverage AI for analysis and classification, as well as ensuring the quality, security, and scalability of the solutions implemented.

To qualify for the AI-Data Engineer role at DaCodes, candidates must have proven experience with the OpenAI API, strong skills in processing large data volumes, and knowledge of database management, including SQL and NoSQL. Familiarity with Azure Fabric is essential, including experience in creating Data Lakes and designing data pipelines. Technical English proficiency is required, with a minimum intermediate level.

As an AI-Data Engineer at DaCodes, you will engage in groundbreaking projects with various clients, including disruptive startups and global brands. Your work will focus on developing AI solutions for data processing and classification, thereby influencing business decisions and contributing to the innovative technology landscape.

Yes! DaCodes offers remote and home office work options for the AI-Data Engineer position. Depending on project needs, some roles may require a hybrid or on-site presence, and all policies will be discussed during the hiring process.

DaCodes provides its AI-Data Engineers with a range of benefits, including legal benefits applicable in Mexico, medical insurance, birthday leave, access to courses and certifications, and opportunities to participate in IT meetups and virtual events. We also foster a multicultural work environment that encourages professional growth.

When discussing your experience with the OpenAI API, be specific about projects where you have created prompts, handled embeddings, or performed fine-tuning. Provide examples that demonstrate your capacity to leverage the API for analyzing and processing data effectively.

Outline your process for connecting to databases, both relational and non-relational, and how you prepare data for automation. Mention any tools or methodologies you use to ensure data quality and relevance before feeding it into AI models.

Discuss the importance of data integrity, scalability, and efficiency when designing data pipelines. Highlight any past experiences where you successfully implemented these principles in Azure Fabric or other environments.

Detail a specific project that posed significant challenges in data processing. Explain your role, the obstacles faced, and how you addressed them, emphasizing the techniques and technology you used to deliver effective solutions.

Talk about your understanding of data security practices, including encryption, access control, and compliance with regulations. Share specific experiences where you developed or adhered to security protocols in your work.

List the collaboration tools you commonly use, such as Microsoft Teams, Jira, or Git. Explain how these tools facilitate communication and project tracking within cross-functional teams, enhancing your projects' outcomes.

Provide details on specific AI models you have trained along with the context of their applications. Discuss the data used, customization processes, and how you evaluated the models' performance.

Share your understanding of Data Lakes as a centralized repository for large amounts of structured and unstructured data. Discuss your experience with creating and managing Data Lakes in Azure Fabric, including any tools you used.

Highlight your commitment to continuous learning, such as following industry news, participating in online courses, or attending webinars. Share any specific resources or communities you engage with to stay updated.

Reflect on your passion for technology, your interest in innovative projects, and how DaCodes' culture aligns with your personal and professional goals. Discuss what excites you about the prospect of contributing to high-impact solutions.