Sr. Machine Learning Solutions Architect
Core
Lead architecture and implementation of production-grade machine learning and data solutions for global enterprise clients, enabling tangible business value from data.
Role type
Senior Machine Learning Solutions Architect
Builds
Production ML models, scalable data pipelines, and MLOps infrastructure for enterprise clients
Domain
Data & AI, Cloud Platforms (Snowflake, AWS, Azure, GCP), Big Data
Deliverable
production ML models
Required skills
Python, Scala, Java, SQL, Spark, Snowflake, Databricks, AWS, Azure, GCP, Linux, API development, MLOps, distributed data processing, system architecture
Preferred skills
TensorFlow, Keras, scikit-learn, H2O, MLflow, AWS SageMaker, Azure ML, personalization, forecasting, risk modeling, operations optimization
Technologies
Snowflake, AWS, Azure, GCP, Fivetran, dbt, Spark, Databricks, Redshift, Amazon EMR, Kafka, JMS, RDBMS, MySQL, Oracle, SAP, Flask, Django, Spring
Responsibilities
Design and create secure, scalable environments for data scientists; define deployment approaches and production infrastructure for ML models; translate business requirements into scalable technical and MLOps solutions; act as a trusted advisor to senior client stakeholders shaping roadmaps; mentor and coach team members; contribute to internal initiatives like IP development and reference architectures
Seniority
Senior, hands-on IC with leadership responsibilities
