Senior Machine Learning Architect
Core
Design and operationalize end-to-end AI/ML solutions to transform vast amounts of data into actionable insights for global business functions including Marketing, Finance, and Supply Chain.
Role type
Senior Machine Learning Architect (Individual Contributor)
Builds
Production-ready AI/ML models, reusable solution libraries, and automated deployment pipelines for enterprise analytics.
Domain
Consumer Packaged Goods (CPG) / Data Science & Analytics
Deliverable
production ML models
Required skills
Statistical modeling, Mixed-Integer Programming (MIP), supervised/unsupervised learning, Bayesian modeling, forecasting, large-scale data wrangling, Python, R, SQL, Spark, Microsoft Azure stack (Cosmos DB, Synapse, ML, Databricks), CI/CD automation, technical documentation, mentoring.
Preferred skills
Ph.D. in quantitative field, experience with hypothesis testing and dimensionality reduction.
Technologies
Python, R, SQL, Spark, Microsoft Azure (Cosmos DB, Azure Synapse, Azure ML, Databricks), GitHub, GitLab, Azure DevOps
Responsibilities
Translate business requirements into ML algorithms, develop and maintain E2E AI/ML solutions from ideation to monitoring, partner with MLOps to scale use-cases, build robust libraries of reusable code and templates, automate deployments using CI/CD, mentor junior data scientists, communicate complex analytical results to executive stakeholders.
Seniority
Senior, hands-on IC with mentorship responsibilities