EY - Cloud Data Engineer Senior EY GDS 

Mexico, Mexico City 

763195997

Job Title: AI Engineer
Responsibilities:
• Design, develop, and deploy machine learning models addressing our business needs.
• Utilize Cloud based AI services (Azure, GCP, AWS, Databricks) and Gen AI to develop intelligent AI solutions and GenAI Agents.
• Build AI applications suitable for both on-premises and cloud environments.
• Streamline efficient data pipelines for data ingestion, processing, and the deployment of production models.
• Collaborate with Data Scientists to effectively transform prototypes into scalable software solutions.
• Work with Data Analysts and Data Engineers to ensure optimal data use and efficient resource allocation.
• Stay on top of the latest AI technologies and implement them to continually improve our solutions.
Desired Experience:
• A Minimum of 3 years of experience as an AI or Machine Learning Engineer or similar role.
• Proven experience deploying machine learning models and managing data science pipelines.
• Hands-on experience with Cloud AI services and Gen AI (Azure, AWS, Databricks, GCP)
• A track record of developing, implementing, and maintaining AI solutions in a business context.
• Proven experience working within a multidisciplinary team of Data Scientists, Analysts, and Data Engineers.
Requirements:
• A bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong proficiency in Python, with an in-depth knowledge of libraries like Numpy, Scikit-learn, TensorFlow, or PyTorch.
• Demonstrable understanding of machine learning algorithms, principles, and their real-world application.
• Understanding of data structures, data modeling and software architecture.

Soft Skills:
• Excellent communication skills, both written and verbal.
• A consulting mindset with the capacity and enthusiasm to learn and implement new technologies.
• A resilient mind to overcome every challenge that might arise in different types of projects.
• Familiarity with agile/scrum methodology and software development life cycle principles.
• Ability to easily communicate complex AI concepts to non-tech business leaders.
• Candidate should keep informed and researching about the latest trends in AI/ML topics as this field is constantly evolving.