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• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 24th Aug 2022

Vender NOTE: Very important, our last candidate was rejectedbecause of this reason,

?        No data scientists

?        No Data Science background

Requirement:

Previous Data Engineer role we filled with same team:

Required Qualifications

* ML Operations Background

*8 years Hands-on experience with cloud based “big data”platforms including Hadoop (preferably Azure or GCP) and Spark

*Proficiency in “big data” technologies including Spark, Airflow, Kafka, Hbase, Pig, NoSQL databases, etc.

*5 years Experience and background on traditionalrelational data warehouse technologies like Oracle, Teradata, DB2

* 3 years experience in one of the following programming languages:Python, Pyspark, Scala or Java

*Good knowledge and experience with SQL, includingAnalytical SQL functions

*Proficient in distributed computing framework; Dask,Kubernetes and Docker

REQUIRED:

Experience working in DevOps/MLOps model, familiarity withindustry deployment best practices using CI/CD tools and infrastructure as acode (e.g., Docker, Kubernetes)

Expert knowledge of Python programming and machine learningframeworks (Scikit_learn, TensorFlow, XGBoost, Keras, PyTorch, tec.)

Experience in dealing with large scale datasets, buildingmachine learning pipelines through MLRun and Kubeflow scalable workfloworchestrations with high scalability, reliability and maintenance standards.

Good technical knowledge and expertise in supervised, unsupervisedmachine learning and deep neural network recommendation systems.

Excellent command of SQL - optimization, troubleshooting anddebugging complex analytical opportunities.

Extensive experience in at least one cloud platforms (e.g.,AWS, AZURE and GCP)

Strong interpersonal and communication skills, including theability to explains and discuss machine learning concepts with colleagues andcross functional teams.