Senior AI Engineer

Houston, TX, US • Posted 4 days ago • Updated 4 days ago
Contract Corp To Corp
Contract Independent
Contract W2
No Travel Required
On-site
Depends on Experience
Company Branding Image
Fitment

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Job Details

Skills

  • Machine Learning Operations (ML Ops)
  • Artificial Intelligence
  • Machine Learning (ML)
  • Agentic AI
  • Microsoft Foundry
  • Databricks
  • Spark
  • Azure Data Factory
  • Python
  • Azure Machine Learning

Summary

Key Responsibilities
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 mindset with a focus on delivering business value quickly and reliably
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL122112
  • Position Id: 8925290
  • Posted 4 days ago

Company Info

About Satwic Inc

Satwic Inc., is an Information Technology consulting services firm that helps clients make intelligent decisions with their data. Our services are optimized to provide compelling value to customers by leveraging our global delivery model, highly talented team of seasoned professionals and refined processes. We have an impeccable track record in delivering Business Intelligence, Data Integration and Data Management solutions.

The name 'Satwic' is derived from the Sanskrit word 'sattwa,' evoking efficiency and optimization in our approach to business processes and technology. As our name suggests, we believe in delivering customer satisfaction using optimal resources and industry best practices. We are based in Glendale (Southern California, USA) with an offshore development center in Bangalore, India.

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