AI​/ML Architect strong snowflake

Position: AI/ML Architect with strong snowflake AI/ML ArchitectAn experienced AI / ML Architect to lead the design, development, and deployment of advanced artificial intelligence, including machine learning and large language models. The ideal candidate will have a strong background in data science, software engineering, and cloud technologies, with a proven track record of architecting scalable and robust AI/ML systems. 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.Ensure the perspectives of Dev Ops/MLOps, Dev Sec Ops , Fin Ops, and Governance are addressed.Leverage existing infrastructure wherever possible (Snowflake / Dataiku / Power BI / Azure).Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliverables.Evaluate and select appropriate AI/ML frameworks, tools, and platforms based on project needs.Ensure scalability, reliability, and security of AI/ML solutions in production environments.Oversee the integration of AI/ML models into existing products and services.Establish and enforce best practices for model versioning, reproducibility, and governance.Mentor and guide junior team members in AI/ML methodologies and architectural patterns.Stay current with industry trends, emerging technologies, and research in AI/ML.Technologies:ML/DL Frameworks: Tensor Flow, PyTorch, Keras, Scikit-learn, XGBoostDev Ops / MLOps: Git Hub, Git Hub Actions, CI/CD pipelinesDev Sec Ops : RBAC, SSO / SCIM, OAuth, Snowflake's security modelData Visualization: Power BI, AngularMonitoring & Orchestration: Dagster, Airflow, Grafana, PrometheusData Ingestion: Airbyte, Snowpipe Files & Streaming, Kafka, APIsData Processing: Dataiku, Spark, Snowflake (streams / tasks / dynamic tables), Python, SQLCompute: Snowflake Warehouses & Compute Pools, Azure VM's, Kubernetes, DockerStorage: Snowflake, SQL, Iceberg Tables, Parquet, ADLSCloud Platforms: Azure

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