Posted today
Unspecified
Mid Level Career (5+ yrs experience)
$80,000 - $125,000
No Traveling
IT - Software
Job Title: MLOps Engineer
Location: 100% Remote – Preferred within 50 miles of ATL, SF, MN, CHI, or DFW
Employment Type: 12-month contract with possible extensions
Salary: $40.00/hr – $60.00/hr (based on experience and role fit)
Citizenship Requirement: Green Card or U.S. Citizen
Shift: 9:00 AM – 5:00 PM EST
Day-to-Day Responsibilities:
• Ideate and develop ML applications for prediction, recommendation, text analytics, computer vision, bots, and document intelligence.
• Utilize ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Work with Azure ML Studio and Azure Kubernetes Service for model deployment.
• Deploy Azure cloud services using Terraform templates and apply strong DevOps principles for automated deployments.
• Develop using Python frameworks like Django, Flask, Django Rest, or FastAPI.
• Handle model inferencing, validation, and deployment to ensure quality and compliance.
• Build and maintain infrastructure for ingesting, normalizing, and combining datasets for actionable insights.
The ideal candidate will have:
• 6–8+ years of hands‑on MLOps experience
• Deep expertise with Azure Kubernetes Service (AKS), Azure ML Studio, and model inferencing
• Proven experience using Argo Workflows, a Kubernetes‑native orchestration tool for automating ML pipelines, running containerized workflows, and managing CI/CD or large‑scale batch jobs
• Strong proficiency with BentoML, an open‑source framework used to package and deploy machine‑learning models into production‑ready services, create portable model bundles, and deploy models as APIs or containerized applications
Hiring Process:
1. Initial phone screen with Insight Global Recruiter
2. Microsoft Teams video screening with Insight Global Account Manager
3. 1st round Microsoft Teams Video Interview with Client
4. Final round Microsoft Teams Panel Interview with U.S. Bank (2–4 days to schedule)
Location: 100% Remote – Preferred within 50 miles of ATL, SF, MN, CHI, or DFW
Employment Type: 12-month contract with possible extensions
Salary: $40.00/hr – $60.00/hr (based on experience and role fit)
Citizenship Requirement: Green Card or U.S. Citizen
Shift: 9:00 AM – 5:00 PM EST
Day-to-Day Responsibilities:
• Ideate and develop ML applications for prediction, recommendation, text analytics, computer vision, bots, and document intelligence.
• Utilize ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.
• Work with Azure ML Studio and Azure Kubernetes Service for model deployment.
• Deploy Azure cloud services using Terraform templates and apply strong DevOps principles for automated deployments.
• Develop using Python frameworks like Django, Flask, Django Rest, or FastAPI.
• Handle model inferencing, validation, and deployment to ensure quality and compliance.
• Build and maintain infrastructure for ingesting, normalizing, and combining datasets for actionable insights.
The ideal candidate will have:
• 6–8+ years of hands‑on MLOps experience
• Deep expertise with Azure Kubernetes Service (AKS), Azure ML Studio, and model inferencing
• Proven experience using Argo Workflows, a Kubernetes‑native orchestration tool for automating ML pipelines, running containerized workflows, and managing CI/CD or large‑scale batch jobs
• Strong proficiency with BentoML, an open‑source framework used to package and deploy machine‑learning models into production‑ready services, create portable model bundles, and deploy models as APIs or containerized applications
Hiring Process:
1. Initial phone screen with Insight Global Recruiter
2. Microsoft Teams video screening with Insight Global Account Manager
3. 1st round Microsoft Teams Video Interview with Client
4. Final round Microsoft Teams Panel Interview with U.S. Bank (2–4 days to schedule)
group id: 10112344
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