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Roles & Responsibilities

  • Proven experience with data science and machine learning libraries in Python such as SciPy, NumPy, TensorFlow, and scikit-learn.
  • Strong background in cloud development environments, especially Azure, Data Factory, PySpark, Scala, and DataBricks Delta.
  • Experience in building data science models for user-facing applications, including recommendation systems.
  • Knowledge of big data tools like Hadoop, Spark, Kafka, and databases such as Postgres and Cassandra.

Requirements:

  • Develop and deploy data science and machine learning models for applications.
  • Work with cloud-based data processing and storage solutions, including Azure and DataBricks.
  • Implement data pipelines and workflows using tools like MLflow and AirFlow.
  • Collaborate on integrating models with front-end systems and ensure scalable deployment.

Job description

Minimum Experience (relevant): 8
Maximum Experience (relevant): 12
Notice periodImmediate to 15days


Must have skills:
 Strong experience working with data scienceML libraries in python (SciPy,
NumPy, TensorFlow, SciKitLearn, etc.)
 Strong experience working in cloud development environments (especially
Azure, ADF, PySpark, Scala, DataBricks Delta, R, SQL )
 Experience building data science models for use on front end, user facing
applications, such as recommendation models
 Experience with REST APIs, JSON, streaming datasets
 Experience working with user behavioral data,such as web analytics
(GoogleAdobe Analytics)
 Experience building ML models and pipelines using MLflow, AirFlow.
 Experience with big data tools: Hadoop, Spark, Kafka, etc.
 Experience with relational SQL and NoSQL databases, including Postgres
and Cassandra.
 Experience with streamprocessing systems: Storm, SparkStreaming, etc.
 Understanding of Graph data, neo4j is a plus
 Strong understanding of RDBMS data structure, Azure Tables, Blob, and
other data sources
 Experience with test driven development
 Experience in PowerBI or other tools
 Understanding of Jenkins, CICD processes using Git, for cloud configs and
standard code repositories such as ADF configs and Databricks
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