Ai/ML Engineer
Johnson Controls International plc7 months ago
Dallas, TX, USASenior
Base Salary
$85k - $107k/yr
Responsibilities
- Build and manage end-to-end ML and LLM pipelines on Azure ML using Azure DevOps for automation, testing, and releases.
- Operationalize generative AI and LLM solutions with an emphasis on security, scalability, and automation.
- Develop Terraform infrastructure as code for compute, storage, networking, and Azure ML environments.
- Design highly available serving environments for real-time LLM inference using Azure Kubernetes Service, Azure Functions, or App Services.
- Build RAG pipelines using vector databases and orchestrate them with LangChain or Semantic Kernel.
- Implement model versioning, monitoring, drift detection, logging, access controls, and audit trails.
- Create reusable deployment pipelines for data preprocessing, model training, evaluation, and inference services.
- Collaborate with data scientists, cloud engineers, and product teams on production AI features and solution architecture.
- Provide technical guidance on cost optimization, scalability, and high-availability ML deployments.
Requirements
- Bachelor's or master's degree in computer science, engineering, or a related field.
- At least 5 years of experience in ML engineering, MLOps, or platform engineering roles.
- Strong experience deploying machine learning models on Azure using Azure ML and Azure DevOps.
- Production experience managing infrastructure as code with Terraform.
- Proficiency in Python, PyTorch, Transformers, LangChain, and Terraform, with scripting experience in Bash or PowerShell.
- Experience with Docker and Kubernetes, particularly Azure Kubernetes Service.
- Familiarity with Azure ML, Azure DevOps Pipelines, model registries, ML artifacts, vector databases, caching strategies, and scalable inference architectures.
- Experience or exposure to LLMOps, prompt orchestration, open-weight model deployment, smart buildings, IoT, or edge AI is preferred.
- Understanding of governance, privacy, and compliance considerations for enterprise generative AI use cases is preferred.
- Azure or Terraform certifications are a plus.
Benefits
- Competitive benefits package.
- Hiring salary range is $85,000-$107,000.
- The employer provides equal employment opportunity and reasonable accommodation support.
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