Akkodis

Machine Learning Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a contract basis in Exton, PA, offering $70-$80/hr. Key skills include Azure AI Foundry, Copilot Studio, LLM development, and Microsoft Fabric. Experience with Azure SQL and CI/CD pipelines is required.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
640
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๐Ÿ—“๏ธ - Date
February 20, 2026
๐Ÿ•’ - Duration
Unknown
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๐Ÿ๏ธ - Location
On-site
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Yes
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๐Ÿ“ - Location detailed
Exton, PA
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๐Ÿง  - Skills detailed
#Azure #DevOps #Microsoft Power BI #Security #Scala #Data Ingestion #Databases #BI (Business Intelligence) #CRM (Customer Relationship Management) #Azure DevOps #Deployment #ML (Machine Learning) #Azure cloud #Data Pipeline #SQL (Structured Query Language) #AI (Artificial Intelligence) #Microservices #Azure SQL #SharePoint #Docker #Azure SQL Database #Cloud
Role description
The Machine Learning Engineer role is a Contract with a client located in Exton, PA 19341. Ideally looking for applicants to have a solid background in Azure AI Foundry, Copilot Studio, Azure OpenAI, LLM, RAG, Microsoft Fabric . would come as a big plus. Pay Range: $70-$80/hr., The pay may be negotiable based on experience, education, geographic location, and other factors. About the Role We are expanding our enterprise AI capabilities and are looking for a Machine Learning Engineer to design and deploy production-ready AI and LLM solutions across our Microsoft ecosystem. You will work with Azure AI Foundry, Azure OpenAI, Microsoft Fabric, Dynamics CRM, and Azure SQL to build scalable, secure, and governed AI applications that drive real business impact. What Youโ€™ll Do โ€ข Build and deploy LLM-based applications using Azure AI Foundry, Azure OpenAI, and Copilot Studio โ€ข Develop scalable RAG architectures, embeddings, semantic search, and evaluation frameworks โ€ข Integrate AI solutions across Azure APIs, Dynamics CRM, SharePoint, and enterprise platforms โ€ข Build and optimize data pipelines using Microsoft Fabric Data Pipelines โ€ข Engineer ingestion processes for Azure SQL Database โ€ข Contribute to secure and governed Azure cloud architecture โ€ข Implement CI/CD pipelines using Azure DevOps โ€ข Build containerized services with Docker for reliable deployment โ€ข Participate in technical design sessions and collaborate with business stakeholders What You Bring Core Skills โ€ข Hands-on experience with Azure AI Foundry, Copilot Studio, and Azure OpenAI โ€ข Strong background in LLM development (RAG, prompt engineering, evaluation) โ€ข Understanding of AI lifecycle management and responsible AI practices โ€ข Experience with Microsoft Fabric for data ingestion and pipelines โ€ข Strong Azure SQL engineering skills โ€ข Cloud architecture knowledge and CI/CD experience (Azure DevOps) โ€ข Experience integrating APIs and microservices Highly Preferred โ€ข Experience with vector databases & semantic search โ€ข Power BI integration knowledge โ€ข Familiarity with Microsoft Purview or governance frameworks Soft Skills โ€ข Strong communicator who can simplify complex AI concepts โ€ข Able to translate business needs into scalable AI architecture โ€ข Comfortable operating in an innovative, fast-evolving environment โ€ข Experience leading technical discussions and guiding solution design If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at govind.choudhary@akkodisgroup.com. Equal Opportunity Employer/Veterans/Disabled Benefits offerings include but are not limited to: โ€ข 401(k) with match โ€ข Medical insurance โ€ข Dental Insurance โ€ข Vision assistance โ€ข Paid Holidays Off To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: ยท The California Fair Chance Act ยท Los Angeles City Fair Chance Ordinance ยท Los Angeles County Fair Chance Ordinance for Employers ยท San Francisco Fair Chance Ordinance