Job Description
📋 Description Role focuses on AI/ML with SI partners to accelerate technical wins and production deployments on Lead strategic account alignment, accelerate AI/ML customer journeys, and support POC/RFP processes Develop deployment frameworks, COEs, and market-ready AI/ML solutions with SI collaborators. Mentor junior cloud architects and ensure production readiness of AI/ML deployments. On day one: bring SI experience, knowledge of cloud platforms, and hands-on ML/MLOps capabilities. 🎯 Requirements Extensive experience with cloud data platforms (prefer Snowflake) and AI/ML platforms (Sagemaker Strong background in ML pipelines, serverless/container computing (AWS Lambda, Azure Functions Familiarity with MLOps and CI/CD (GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build). Experience in AI/ML use cases, big data/cloud integration (Matillion, Azure Data Factory, AWS Glue). Proficient in Python, SQL, Scala, Spark; deep CS fundamentals; cloud tooling (Azure, AWS, GCP). 10+ years in large-scale systems; minimum 5 years in pre-sales; BS/MS/PhD in CS or related. 🎁 Benefits Salary: $189,000 – $248,062 per year (USD). Remote work optional; comprehensive compensation package available on request. Confidentiality and security standards are required for handling sensitive data.
