What are the responsibilities and job description for the AI / ML Architect with strong snowflake Exp-5 position at Realign LLC?
Job Type: Contract
Job Category:
Job Description
Role: AI / ML Architect with strong snowflake Exp
Location: Salisbury, MD (Day 1 Onsite)
Contract
Location: Salisbury, MD (Day 1 Onsite)
Contract
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:
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
Required Skills
