AI/ML Engineer

• Design build and maintain scalable ETLELT pipelines using Azure Data Factory Synapse Pipelines and Databricks
• Ingest transform and curate structured and unstructured data from diverse sources for AIML consumption
• Optimize data workflows for performance reliability and costefficiency
• Enable data access and preparation for Azure AI services including Azure Machine Learning Azure OpenAI and Cognitive Services
• Collaborate with data scientists and ML engineers to operationalize AI models using MLOps and GenAIOps practices
• Support RAG RetrievalAugmented Generation and other GenAI patterns through data engineering best practices
• Implement CICD pipelines for data workflows using Azure DevOps or GitHub Actions
• Automate infrastructure provisioning using Terraform Bicep or ARM templates
• Monitor and troubleshoot data pipelines and cloud resources using Azure Monitor and Log Analytics

• 8 10 years of experience in data engineering cloud platforms and big data technologies
• Strong proficiency in Azure services Data Factory Synapse Data Lake Azure SQL Cosmos DB
• Experience with Python Spark SQL and distributed data processing
• Familiarity with AIML workflows and tools such as Azure ML MLflow and OpenAI APIs
• Understanding of data governance security and compliance in cloud environments.

The base compensation range for this role in the posted location is: 85,000 - 95,000

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

• Life and disability insurance

• Employee assistance programs

• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.