Databricks AI Engineer

Cognizant; Halifax; Remote; CAD 80,000 - 110,000; Full time

Job summary

Une entreprise de premier plan recherche un Ingénieur AI sur Databricks pour innover avec des solutions de données avancées. Ce rôle implique la conception de pipelines de données scalables, l'utilisation de technologies Azure, et le déploiement de modèles d'apprentissage machine. Le candidat idéal possédera une forte expertise en AI et fera partie d'équipes collaboratives axées sur les données.

Qualifications

• Expérience avérée en conception de solutions d'IA.
• Expertise avec Databricks et Azure Data Factory.
• Expérience pratique avec Azure ML Studio et ML Ops.

Responsibilities

• Concevoir et maintenir des pipelines de données scalables avec Databricks.
• Implémenter et optimiser des workflows de traitement des données.
• Collaborer avec des équipes multifonctionnelles pour des insights exploitables.

Skills

Generative AI

Azure technologies

Docker

Kubernetes

Azure Machine Learning

Tools

Databricks

Azure Data Factory

Azure ML Studio

Job description

We are looking for a Databricks AI Engineer where you will apply your expertise in Generative AI and Azure technologies to drive innovative solutions. With a focus on AI and ML concepts you will play a crucial role in designing and implementing advanced data solutions.

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

In this role, you will

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

What you’ll need to succeed (required skills)

• Possess a strong background in Generative AI and Azure technologies with proven experience in designing AI solutions.
• Demonstrate expertise in Azure Databricks and Azure Data Factory for efficient data management.
• Have hands-on experience with Azure ML Studio and ML Ops for deploying machine learning models.
• Show proficiency in Docker and Kubernetes for containerization and orchestration.
• Exhibit strong knowledge of Azure Machine Learning for advanced analytics.

What will help you stand out (preferred skills)

• Microsoft Azure and Fabric knowledge
• Azure Solutions Architect Expert

At Cognizant, we're eager to meet people who believe in our mission and can make an impact in various ways. We encourage you to apply if you have most of the skills above and feel like you are strongly suited for this role. Consider what transferrable experience and skills make you a unique applicant and help us see how you’d be beneficial to this role.

Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.

Working arrangements

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Ontario and / or Nova Scotia, where our hubs are located. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

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