Staff Machine Learning Engineer (India based, relocation provided)
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The role
Lead the technical direction to improve scalability, stability, and accuracy of ML systems.
Build, administer, and scale ML processing pipelines and productionize models at scale.
Work with Python3, PySpark, Bash/Python, Hadoop, SQL, and S3 to design robust data-centric solutions.
Understand ML model internals (Random Forest, CNN, Regression) and contribute to modeling decisions.
Design, test, and deploy libraries and frameworks, ensuring high standards of testing and code quality.
Collaborate with engineers and product owners to automate large-scale data management tasks and own end-to-end ML delivery.
Build, administer, and scale ML processing pipelines and productionize models at scale.
Work with Python3, PySpark, Bash/Python, Hadoop, SQL, and S3 to design robust data-centric solutions.
Understand ML model internals (Random Forest, CNN, Regression) and contribute to modeling decisions.
Design, test, and deploy libraries and frameworks, ensuring high standards of testing and code quality.
Collaborate with engineers and product owners to automate large-scale data management tasks and own end-to-end ML delivery.
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Remote workpartial
CityGurgaon, India