of traditional AI/ML concepts, alongside expertise in generative AI and related frameworks. Hands-on experience with AI/MLmodel.... Experience in developing CI/CD pipelines for AI/ML, including model versioning, monitoring, and performance tuning. Strong...
results arrive. Deploy and version models via Azure ML endpoints and model registry;monitor for drift on a rolling basis...Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict...
, Databricks, or Google Cloud. AI & Machine Learning Integration: Familiarity with multi-modal data, AI/MLmodel deployment...
end-to-end analytical and modeling work, including exploratory data analysis, feature preparation, model validation... infrastructure. Exposure to AI/ML, advanced data modeling (classification, forecasting, NLP), and MLOps practices. Familiarity...
Role PeopleSoft FSCM Techno functional Minimum years of exp 10 years + Location : Jersey City - NJ USA Work model... specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration...
alongside other AWS services. Amazon Bedrock hosts a number of foundation models - you will work directly with the model... Bedrock, interact with customers directly to understand their business problems, and work with model providers and solutions...
AI solutions. Develop AI/ML models using GCP services, Vertex AI, and Gemini. Build and manage data pipelines, model lifecycle...Role: Senior GCP AI/ML Architect Data Engineering & Generative AI Location: Louisville, KY (Remote). Duration: 6...
, API Gateway), Application integration skills, Vector databases, CI/CD for AI Apps. Understanding of ML life cycle..., Strong coding in Python, Good knowledge on Py libraries (Pandas, Numpy, Scikit-learn (ML), Tensorflow/PyTorch...
with product managers, architects, data engineers, data scientists, ML engineers, and business stakeholders to integrate... AI environments Microsoft Azure, AWS, or Google Cloud TensorFlow, PyTorch, Keras, or comparable AI/ML libraries AI application...
Python/data/ML workloads, not only web applications. Good to Have: Kubernetes, GitHub Actions/Azure DevOps/Jenkins..., repeatable delivery pipelines and containerized runtime environments for data pipelines, AI automation, model workflows...