Databricks AI Engineer

Cognizant; Halifax; Remote; CAD 80,000 - 120,000; Full time

Job summary

A leading company is seeking a Databricks AI Engineer to leverage expertise in Generative AI and Azure technologies. The role involves designing and implementing advanced data solutions, focusing on AI and ML concepts. Ideal candidates will have a strong background in Azure Databricks and experience with machine learning models. Remote work options are available for Ontario and Nova Scotia.

Qualifications

• Experience in designing AI solutions using Azure technologies.
• Hands-on experience with Azure ML Studio and ML Ops.
• Proficiency in Docker and Kubernetes.

Responsibilities

• Design and maintain scalable data pipelines using Databricks.
• Implement data processing workflows for ETL.
• Collaborate with teams to understand data requirements.

Skills

Generative AI

Azure technologies

Data management

Machine Learning

Containerization

Tools

Azure Databricks

Azure Data Factory

Azure ML Studio

Docker

Kubernetes

Job description

Join to apply for the Databricks AI Engineer role at Cognizant

We are seeking a Databricks AI Engineer to leverage your expertise in Generative AI and Azure technologies to develop innovative solutions. Your focus will be on designing and implementing advanced data solutions with an emphasis on AI and ML concepts.

Responsibilities

1. Design, develop, and maintain scalable data pipelines and architectures using Databricks.
2. Implement and optimize data processing workflows, ensuring efficient data extraction, transformation, and loading (ETL).
3. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
4. Utilize Databricks AI capabilities, including Mosaic AI and Genie, to enhance data processing and analytics.
5. Develop and deploy machine learning models and AI applications using Databricks tools.

Minimum Requirements

• Strong background in Generative AI and Azure technologies, with proven experience in designing AI solutions.
• Expertise in Azure Databricks and Azure Data Factory for data management.
• Hands-on experience with Azure ML Studio and ML Ops for deploying machine learning models.
• Proficiency in Docker and Kubernetes for containerization and orchestration.
• Knowledge of Azure Machine Learning for advanced analytics.

Preferred Skills

• Microsoft Azure and Fabric knowledge
• Azure AI Engineer Associate certification
• Azure Solutions Architect Expert certification

We encourage applicants who believe they are a good fit and possess most of the skills listed above to apply. Legally authorized work in Canada is required, with remote work options available for Ontario and Nova Scotia.