

PGC Digital (America) Inc: CMMI Level 3 Company
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include strong Azure experience, MLOps, Python proficiency, and automation. 5+ years in AI or ML engineering is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Spark (Apache Spark) #Databricks #Data Processing #Cloud #Microsoft Azure #Azure Machine Learning #Automation #Azure Data Factory #Azure #Data Science #Kubernetes #AI (Artificial Intelligence) #ADF (Azure Data Factory) #Ansible #Security #Data Engineering #ML (Machine Learning) #Python #Docker
Role description
We are seeking an experienced AI Engineer to partner with product, data science, and platform teams to rapidly design, build, and productionize AI and machine learning solutions. This role is delivery focused and hands on, emphasizing cloud architecture, MLOps, automation, and operational excellence.
The ideal contractor brings strong Azure experience, a software engineering mindset, and practical experience operationalizing AI systems at scale. Experience with Microsoft Foundry is strongly preferred.
Required Technical Skills
• Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
• Hands on experience deploying and operating ML pipelines using Azure Machine Learning
• Proficiency in Python and modern software engineering practices
• Experience with automation and configuration management, including Ansible
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Working knowledge of security, identity, and access control in enterprise cloud environments
Preferred Skills
• Experience with Microsoft Foundry
• Experience implementing or operating agentic AI systems
• Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)
Experience Requirements
• 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
• Proven experience delivering production AI or ML solutions in a cloud environment
• Experience collaborating with cross functional teams across data science, engineering, and architecture
We are seeking an experienced AI Engineer to partner with product, data science, and platform teams to rapidly design, build, and productionize AI and machine learning solutions. This role is delivery focused and hands on, emphasizing cloud architecture, MLOps, automation, and operational excellence.
The ideal contractor brings strong Azure experience, a software engineering mindset, and practical experience operationalizing AI systems at scale. Experience with Microsoft Foundry is strongly preferred.
Required Technical Skills
• Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
• Hands on experience deploying and operating ML pipelines using Azure Machine Learning
• Proficiency in Python and modern software engineering practices
• Experience with automation and configuration management, including Ansible
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
• Working knowledge of security, identity, and access control in enterprise cloud environments
Preferred Skills
• Experience with Microsoft Foundry
• Experience implementing or operating agentic AI systems
• Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)
Experience Requirements
• 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
• Proven experience delivering production AI or ML solutions in a cloud environment
• Experience collaborating with cross functional teams across data science, engineering, and architecture






