Senior Azure AI Engineer

Summary

Join DaCodes, a leading software and digital transformation firm, and contribute to the design, implementation, and optimization of cloud infrastructures. As an AI Engineer, you will leverage your expertise in Azure AI Studio, Azure OpenAI, and cognitive services to build custom models and intelligent applications. You will work with cutting-edge technologies like LLMs and MLOps pipelines, collaborating with multidisciplinary teams on innovative projects. DaCodes offers a remote work environment, flexible hours, and opportunities to work with global brands and disruptive startups. Enjoy benefits such as health insurance, life insurance, paid time off, professional development opportunities, and a multicultural work environment. DaCodes is a Great Place to Work certified company.

Requirements

• Experience in the design, development, and implementation of AI solutions using Azure AI Studio
• Specialization in creating custom models with Azure OpenAI
• Integration of cognitive services (Computer Vision, Language, Speech)
• Deployment of intelligent applications in the cloud
• Expertise in MLOps pipelines
• Development of conversational assistants with Azure Bot Service
• Data exploitation using Azure Machine Learning
• Advanced knowledge of foundational models (LLMs)
• Skills in DevOps and data engineering
• Proven ability to collaborate with multidisciplinary teams
• Ability to lead innovation projects
• Ability to optimize processes through intelligent automation
• Azure AI Studio (prompt flow, copilots, data labeling, evaluation, deployment)
• Azure Machine Learning, Azure OpenAI Service, Azure Cognitive Services
• LLM models (GPT, Codex, Whisper) and tuning with business data
• Python, PyTorch, TensorFlow, LangChain, REST APIs, R
• MLOps, CI/CD with Azure DevOps, GitHub Actions (optional)
• Integration with Power Platform, Logic Apps, and Azure Functions
• Security and data governance in cloud AI solutions

Responsibilities

• Design, develop, and implement AI solutions using Azure AI Studio
• Create custom models with Azure OpenAI
• Integrate cognitive services (Computer Vision, Language, Speech)
• Deploy intelligent applications in the cloud
• Develop conversational assistants with Azure Bot Service
• Utilize Azure Machine Learning for data exploitation
• Combine advanced knowledge of foundational models (LLMs) with DevOps and data engineering skills
• Create scalable, secure, and business-aligned solutions
• Collaborate with multidisciplinary teams
• Lead innovation projects
• Optimize processes through intelligent automation

Preferred Qualifications

• Microsoft Certified: Azure AI Engineer Associate (AI-102)
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure Data Scientist Associate

Benefits

• Remote work/Home office
• Flexible hours adjusted to the assigned work/project cell
• Monday to Friday work schedule
• Legal benefits (apply to Mexico)
• Day off on your birthday
• Major medical insurance (applies to Mexico)
• Life insurance (applies to Mexico)
• Multicultural work teams
• Access to courses and certifications
• Meetups with special guests from the IT area
• Virtual integration events and interest groups
• English classes
• Opportunities within our different business lines