AI ML Architect with strong snowflake Exp
AI ML Architect with strong snowflake Exp
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Job Description
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
Employment Type
Full-time
