Containerization & GPU infrastructure (Docker, Kubernetes) AWS AI services (SageMaker, Lambda, ECS/EKS) MLOps practices (CI/CD...
Containerization & GPU infrastructure (Docker, Kubernetes) AWS AI services (SageMaker, Lambda, ECS/EKS) MLOps practices (CI/CD...
(Preferred Qualifications) Experience with MLOps, CI/CD for ML pipelines, and monitoring tools (MLflow, Weights & Biases...
into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting...
platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure...
MLOps infrastructure to support model training, monitoring, and deployment, leveraging Azure ML, Azure Document Intelligence...
Oversee MLOps infrastructure to ensure robust deployment and monitoring of ML models Stay updated on emerging trends... Language Models (LLMs) and generative AI Familiarity with real-time streaming data platforms Exposure to MLOps tools...
into real-time or high-availability production environments. Familiarity with MLOps practices and tools. Knowledge of data...
into production, ensuring robust MLOps practices including CI/CD pipelines, model monitoring, and drift detection. Conduct fine...
learning environment: you’ll pick up MLOps, orchestration, cloud, and applied AI — skills that are valuable everywhere. Every...
understanding of LLM evaluation Should have deployed min of 2 models in production (MLOps) Should have understanding of guardrails...
understanding of LLM evaluation Should have deployed min of 2 models in production (MLOps) Should have understanding of guardrails...
understanding of LLM evaluation Should have deployed min of 2 models in production (MLOps) Should have understanding of guardrails...
understanding of LLM evaluation Should have deployed min of 2 models in production (MLOps) Should have understanding of guardrails...
understanding of LLM evaluation Should have deployed min of 2 models in production (MLOps) Should have understanding of guardrails...
understanding of LLM evaluation Should have deployed min of 2 models in production (MLOps) Should have understanding of guardrails...
understanding of LLM evaluation Should have deployed min of 2 models in production (MLOps) Should have understanding of guardrails...
understanding of LLM evaluation Should have deployed min of 2 models in production (MLOps) Should have understanding of guardrails...
-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps...
/visualization tools (Power BI, Tableau, or similar). Understanding of modern practices like DataOps, MLOps or equivalent experience...