

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
-
💰 - Day rate
1054
-
🗓️ - Date
April 28, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Houston, TX
-
🧠 - 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
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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
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






