Description

This one and JP6978 are ML engineer reqs. All below skills are must have skills.
Ability to write robust code in one or more of Python, Go, and Java
Proficient in core technologies like Spark, Hadoop and Hive.
Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis.
Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch. (good to have)
Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow).
Degree with a strong technical focus (Computer Science, Engineering).
Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines.
Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of assigned components.
Actively participate in group technology reviews to critique work of self and others.

Key Skills
Education

Any Graduate

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