Sr. Machine Learning Solutions Architect

📋 Description

• Own end-to-end ML and data solution architecture for enterprise clients.
• Translate business requirements into scalable ML and MLOps solutions.
• Ensure delivery on time, within scope, with measurable business value.
• Design secure, scalable environments for data scientists to train models.
• Define deployment approaches and production infra for ML models.
• Collaborate with clients to extract data and produce actionable insights.

🎯 Requirements

• 6+ years in ML/software/data eng building production ML/data solutions.
• Python/Scala/Java; APIs/web apps (Flask/Django/Spring).
• SQL and big data tech: Spark, Snowflake, Databricks, Redshift.
• Cloud/Linux know-how; AWS/Databricks; Kafka/JMS; data warehouses.
• Production ML deployment; SageMaker/Azure ML/MLflow; TensorFlow.
• Bachelor's degree or equivalent practical experience.

🎁 Benefits

• Remote-First work environment.
• Collaborative, high-performing global team.
• Competitive compensation and benefits.
• Generous PTO plus holidays and other perks.
• Accelerated learning and professional development.