Realign LLC

Senior AI Engineer (Contract & FTE Both)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Engineer in Houston, TX (Hybrid – 4 days onsite), offering a contract of more than 6 months. Required skills include Microsoft Azure, Python, ML pipelines, and MLOps. 5+ years of relevant experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
1054
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🗓️ - Date
April 28, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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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
#Data Processing #ML (Machine Learning) #Docker #Ansible #Azure #ADF (Azure Data Factory) #Data Engineering #Automation #Cloud #Azure Machine Learning #Kubernetes #Databricks #DevOps #Python #Data Science #Azure Data Factory #Microsoft Azure #Infrastructure as Code (IaC) #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Monitoring #Security #Spark (Apache Spark) #Scala
Role description
Houston, Texas 77001 Posted March 28th, 2026 Looking for more job opportunities? Click here! Job Type: Full Time Job Category: IT Job Title : Senior AI Engineer Location : Houston, TX (Hybrid – 4days ONSITE) Contract & FTE both Job Description As an AI Engineer, you will: - Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation - Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns - Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions - Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security - Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation - Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams - Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments Required Technical Skills - Strong experience with Microsoft Azure, including AI/ML services and cloud native architecture - 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 Ways of Working - Ability to work independently as a contractor while integrating effectively with existing teams - Strong communication skills, with the ability to explain complex technical concepts clearly - Results oriented mind-set with a focus on delivering business value quickly and reliably Required Skills DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER