Apptad- ML/AI engineer

Princeton, NJ - USA

Monthly Salary: Not Disclosed

Posted on: 10-09-2025

Vacancies: 1 Vacancy

Job Summary

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.

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 an...