... , deploying, and managing AI ML models within a Microsoft Azure-based ... Azure Machine Learning (AML) for model training, deployment, and lifecycle management. ... CD pipelines for AI ML models using Azure DevOps , applying MLOps ...
... with expertise in multimodal generative models to join our team. As ... in deep learning, large generative models, and development of complex AI ... record in deep learning, generative model, multimodal models, computer vision, or RL MS ...
... experience in building and deploying models in production environments, strong programming ... AI and Large Language Models (LLMs), familiarity with NoSQL and ... diverse clients and industries, from model development to production deployment, collaborative ...
... containers for executing models. Knowledge of tracking and model management as MLOps best practices ... and integration workflows. Model Lifecycle: Model monitoring, model drifting, data drifting, Automate model retraining and tunning Comfortable Experiment ...
... experience with causal inference, graphical models (e.g. Bayesian networks), econometric models or MMMs is a big ... -the-art automated marketing mix models, using Python as your go- ... and defend the roadmap for model automation. What you’ll get We ...
... be key, along with monitoring model performance. Strong communication skills are ... training, deploying, and managing AI models Experience in data preprocessing, data ... CI CD pipelines for ML models (Azure DevOps, MLOps practices) as ...
... be key, along with monitoring model performance. Strong communication skills are ... training, deploying, and managing AI models Experience in data preprocessing, data ... CI CD pipelines for ML models (Azure DevOps, MLOps practices) as ...
... developing and refining machine learning models that drive accurate forecasting, event ... goals. Develop natural language processing models, integrating open-source and commercial ... time series data, forecasting models, and event-driven analytics. Knowledge ...
... , etc. Experience building interfaces for model registry, model inference pipelines, etc. Experience with ... in a remote-friendly hybrid model. We are dedicated to achieving ... have transitioned to a hybrid model with a focus on nurturing ...
... and execution of risk models and support regulatory exercisesWhat youll ... of risk methodology and or model development capable of documenting any model development in a clear way ... deadlines interest in placing model development activities within the bigger ...