AI/ML Architect An experienced AI / ML Architect to lead the design, development, and deployment of advanced artificial intelligence, including machine learning and large language models. You will collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring best practices in model development, deployment, monitoring, security, and governance. Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring frameworks. Technologies: ML/DL Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost DevOps / MLOps: GitHub, GitHub Actions, CI/CD pipelines DevSecOps: RBAC, SSO / SCIM, OAuth, Snowflake's security model Data Visualization: Power BI, Angular Monitoring & Orchestration: Dagster, Airflow, Grafana, Prometheus Data Ingestion: Airbyte, Snowpipe Files & Streaming, Kafka, APIs Data Processing: Dataiku, Spark, Snowflake (streams / tasks / dynamic tables ), Python, SQL Compute: Snowflake Warehouses & Compute Pools, Azure VM's, Kubernetes, Docker Storage: Snowflake, SQL, Iceberg Tables, Parquet, ADLS Cloud Platforms: Azure
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