Why This Role Stands Out
This AI/ML Engineer role at BroadAxis offers a fantastic opportunity to build and deploy cutting-edge AI solutions on Azure, driving real-world impact. If you're a mid-senior professional passionate about machine learning and eager to collaborate with a dynamic team, this position is perfect for you to advance your career. Apply now to contribute to innovative projects and grow your expertise!
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Plano, TX, United States
Posted
Yesterday
DockerSQLMLOpsMachine LearningScikit-learnAgileAzureDatabricksGenerative AIGitKubernetesPyTorchPythonTensorFlow
Job Description
Job Role: AI/ML Engineer with Azure
Location: Plano, TX// Onsite
Contract Type: C2H
About the role
We are looking for an AI/ML Engineer to build, deploy, and maintain machine learning and AI solutions on Microsoft Azure. You will work with data scientists, developers, and business teams to turn data into working, production-ready AI features.
Key responsibilities
- Design, train, test, and deploy machine learning models
- Build and manage ML pipelines on Azure (data preparation, training, deployment, monitoring)
- Develop AI solutions using Azure OpenAI and other Azure AI services
- Create APIs so applications can use the models
- Monitor model performance and retrain or improve models when needed
- Follow data security and privacy best practices
- Document work and share results with the team and stakeholders
Required skills (must-haves)
- 3-5 years of experience in AI/ML engineering or data science engineering
- Strong programming skills in Python
- Hands-on experience with Azure Machine Learning and other Azure AI services (Azure OpenAI, Azure AI Foundry, or Cognitive Services)
- Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch
- Experience deploying models to production (MLOps, CI/CD, Docker)
- Good knowledge of SQL and working with large datasets
- Experience with Git and Agile teams
- Bachelor s degree in Computer Science, Data Science, or a related field
Nice-to-have skills
- Generative AI experience (LLMs, prompt engineering, RAG)
- Azure Databricks, Azure Data Factory, or Azure Synapse
- Kubernetes and Azure DevOps
- Azure certifications (AI-102, DP-100, AZ-900/AZ-305)
- Experience in a regulated or government environment
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