**Job Summary**
**Responsibilities**
- Lead the design and development of AI and ML solutions using Generative AI and Azure ML Studio.
- Oversee the implementation of ML Ops practices to ensure smooth deployment and monitoring of machine learning models.
- Provide expertise in AI&ML; concepts to drive innovation and improve existing systems.
- Collaborate with cross-functional teams to integrate AI and ML solutions into various business processes.
- Develop and maintain scalable machine learning models to address complex business challenges.
- Ensure the use of best practices in AI and ML to deliver high-quality solutions.
- Conduct research and stay updated with the latest advancements in AI and ML technologies.
- Mentor and guide junior team members to enhance their skills and knowledge in AI and ML.
- Perform code reviews and ensure adherence to coding standards and best practices.
- Utilize Azure Machine Learning to build train and deploy machine learning models.




- Implement version control and collaboration using GIT to manage code and model changes.
- Analyze and interpret data to derive actionable insights and improve decision-making processes.
- Communicate effectively with stakeholders to understand their requirements and provide technical solutions.
**Qualifications**
- Have hands-on experience with Azure ML Studio and ML Ops practices.
- Demonstrate expertise in AI&ML; concepts and their practical implementation.
- Be proficient in Machine Learning and Artificial Intelligence techniques.
- Have experience with Azure Machine Learning for model development and deployment.
- Be skilled in using GIT for version control and collaboration.
- Hold a relevant certification in AI or ML such as Microsoft Certified: Azure AI Engineer Associate.

📌 Data Architect (Guadalajara)
🏢 Cognizant
📍 Guadalajara