Lead architecture, implementation, and lifecycle management of AI/ML applications for clients.
Own strategic AI/ML projects from vision to deployment and ongoing optimization.
Collaborate with clients, Sales, data scientists, ML engineers, data engineers, and platform/DevOps

🎯 Requirements

10+ years in ML/AI/data engineering roles building and deploying production solutions.
Strong Python and API/service design experience.
Robust data pipelines, SQL proficiency, and complex distributed queries.
Hands-on with Spark, Snowflake, Databricks, Redshift, AWS/GCP/Azure, or similar.
Experience with data sources like Kafka/JMS, RDBMS, data warehouses, SAP, Oracle.
Cloud architecture, Linux, and production ML system design for performance and reliability

🎁 Benefits

Remote-first work environment
Competitive compensation and comprehensive benefits
Learning and development stipend
Global, collaborative culture with opportunities for growth

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