ML/AI engineer

Shrive Technologies LLC
Princeton, NJ

  • Design, develop, and implement machine learning and deep learning models.
  • Preprocess and analyze large-scale structured and unstructured datasets.
  • Optimize models for performance, scalability, and efficiency.
  • Integrate models into production systems using APIs or cloud-based deployment.
  • Monitor, test, and retrain models as required based on feedback and performance.
  • Document model development, architecture, and performance metrics.
  • Design scalable infrastructure for training, deploying, and monitoring ML and LLM models in production.
  • Manage Azure Kubernetes Service (AKS) clusters and containerized ML workloads.
  • Ensure model governance, versioning, and reproducibility using tools like MLflow and Azure DevOps.
  • Experience with Azure Machine Learning, Azure OpenAI, Azure DevOps, and AKS.
  • Proficiency in Python, Docker, Kubernetes, and CI/CD pipelines.
  • Experience with LLM fine-tuning, prompt engineering, and model deployment.
  • Familiarity with MLflow, Terraform, and monitoring tools like Prometheus/Grafana.
  • Collaborate with data scientists and domain experts to understand project objectives and define modeling approaches.

Posted 2025-09-10

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