Job ID: JOB_ID_3630
About the Role:
We are seeking a highly skilled Azure AI/ML Engineer with at least 13 years of experience to join our team. This role involves partnering with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that significantly improve decision-making, streamline workflows, and enhance automation across the organization. You will be responsible for designing and implementing cloud-native AI architectures using Microsoft Azure services and established AI design patterns. A key aspect of this role is collaborating with Data Scientists and other AI Engineers to transform prototypes into production-ready, scalable solutions. You will also build, deploy, and operate enterprise-scale machine learning pipelines, with a strong emphasis on reliability, performance, and security. Orchestrating and configuring infrastructure that enables low-latency, resilient AI workloads, leveraging infrastructure as code and automation, is crucial. Furthermore, you will contribute to reusable accelerators, templates, and patterns that enhance delivery speed and consistency across teams, and 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 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).
Special Requirements
Local Only & Onsite
Compensation & Location
Salary: $70 – $90 per year (Estimated)
Location: Houston, TX
Recruiter / Company – Contact Information
Email: .kumar@envisiontechsol.com
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