

Architect-Machine Learning
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Architect-Machine Learning based in Princeton, NJ, with a contract duration of over 6 months and a pay rate of $120,745.63 - $125,295.80 per year. Key skills include Azure Machine Learning, Python, and Kubernetes.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
569.5227272727
-
ποΈ - Date discovered
June 28, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Princeton, NJ 08540
-
π§ - Skills detailed
#Deployment #Docker #Azure #Azure DevOps #Compliance #Azure Machine Learning #Terraform #Data Science #Grafana #Python #Monitoring #Model Deployment #Kubernetes #DevOps #Security #DevSecOps #Scala #Prometheus #MLflow #ML (Machine Learning)
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Job Title:-ML ArchitectLocation:-Princeton, NJ/Onsite
Key Skills - Experience with Azure Machine Learning, Azure OpenAI, Azure DevOps, and AKS.
Β· Document architecture, workflows, and best practices for knowledge sharing and compliance.
Β· Provide technical oversight & Guidelines
Β· Architect and implement end-to-end MLOps and LLMOps pipelines using Azure Machine Learning and Azure OpenAI.
Β· Design scalable infrastructure for training, deploying, and monitoring ML and LLM models in production.
Β· Collaborate with data scientists and engineers to streamline model development, testing, and deployment workflows.
Β· Manage Azure Kubernetes Service (AKS) clusters and containerized ML workloads.
Β· Ensure model governance, versioning, and reproducibility using tools like MLflow and Azure DevOps.
Β· Promote DevSecOps practices, ensuring security and compliance are embedded in the ML lifecycle.
Β· Monitor and troubleshoot production ML systems, ensuring high availability and performance.
Β· Proficiency in Python, Docker, Kubernetes, and CI/CD pipelines.
Β· Experience with LLM fine-tuning, prompt engineering, and model deployment.
Β· Familiarity with MLflow, Terraform, and monitoring tools like Prometheus/Grafana.
Thanks & Regards
Muskan Harda
Team Lead
Helix Tech IT Services
Muskan.harda@helixtechinc.com
Job Type: Contract
Pay: $120,745.63 - $125,295.80 per year
Benefits:
Life insurance
Paid time off
Schedule:
8 hour shift
Work Location: On the road