Jobs → Customer Support → AI/ML Architect

About the Role We are looking for an experienced AI/ML Architect to lead the design, development, and deployment of enterprise-scale AI/ML solutions, including Machine Learning, Deep Learning, and Large Language Models (LLMs). Key Responsibilities • Design end-to-end AI/ML architectures covering data pipelines, model training, deployment, and monitoring • Drive DevOps, MLOps, DevSecOps, FinOps, and AI governance practices • Leverage existing enterprise platforms including Snowflake, Dataiku, Power BI, and Azure • Evaluate and implement suitable AI/ML frameworks, tools, and technologies • Ensure scalability, security, reliability, and governance of production AI/ML solutions • Integrate AI/ML models into enterprise applications and services • Establish model versioning, reproducibility, and governance standards • Mentor engineering teams and drive AI/ML architecture best practices Requirements • Strong expertise in AI/ML architecture, cloud technologies, data engineering, MLOps, DevSecOps, and AI governance • Experience with ML/Deep Learning: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost • Proficiency in DevOps/MLOps/DevSecOps: GitHub, GitHub Actions, CI/CD Pipelines, RBAC, SSO/SCIM, OAuth, Snowflake Security Model • Data Engineering & Processing skills: Snowflake, Dataiku, Apache Spark, Python, SQL, Kafka, APIs, Airbyte, Snowpipe Files & Streaming, Snowflake Streams, Tasks, Dynamic Tables • Monitoring & Orchestration experience: Dagster, Airflow, Grafana, Prometheus • Cloud & Infrastructure knowledge: Microsoft Azure, Azure VMs, Kubernetes, Docker, Snowflake Warehouses & Compute Pools • Storage & Visualization skills: Snowflake, Iceberg Tables, Parquet, ADLS, Power BI, Angular