Description

JD :
Understanding of core data processing and ML algorithms - ingestion, transformation, optimization, nlp, vision, speech, recommendations, predictive models, graph algorithms, statistical ML and Deep Learning
Produce production quality code and architecture
Understanding of cloud native technologies – Kubernetes, Docker, etc.
Experience of databases, NOSQL databases
Understanding of real-time data streaming: Kafka and other messaging systems
Experience data processing: Spark, Flink, Druid, Nifi, etc.
Experience with scalable API development and data visualization
Deep Learning frameworks like Pytorch and Tensorflow
Hands-on experience setting up at least one end to end Deep Learning pipeline (for voice, vision, ML, etc.)

 

Key Skills
Education

Any Graduate

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