AI ML Architect with strong snowflake Exp

Salisbury - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Role: AI / ML Architect with strong snowflake Exp
Salisbury MD (Remote)

Job Description:

An 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.

Responsibilities:

Design end-to-end AI/ML architectures including data pipelines model training deployment and monitoring frameworks.
Ensure the perspectives of DevOps/MLOps DevSecOps FinOps 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: 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

Role: AI / ML Architect with strong snowflake Exp Salisbury MD (Remote) Job Description: An 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 b...

Role: AI / ML Architect with strong snowflake Exp
Salisbury MD (Remote)

Job Description:

Design end-to-end AI/ML architectures including data pipelines model training deployment and monitoring frameworks.
Ensure the perspectives of DevOps/MLOps DevSecOps FinOps 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: 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