Role - Scala Developer

Required Technical Skill - Spark ,PySpark, Python, Hive, Scala, Unix shell scripting

Desired Experience Range - 5+years

Location of Requirement - Pan India

Must-Have

5+ Years of experience with Developing/Fine tuning and implementing programs/applications

Using Python/PySpark/Scala on Big Data/Hadoop Platform.

Roles and Responsibilities:

a) Work with a Leading Banks Risk Management team on specific projects/requirements pertaining to risk Models in

consumer and wholesale banking

b) Enhance Machine Learning Models using PySpark or Scala

c) Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all

the way to Production Environment

d) Participate Feature Engineering, Training Models, Scoring and retraining

e) Architect Data Pipeline and Automate Data Ingestion and Model Jobs

Skills and competencies:

Required:

Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in
Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.
Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
Experience in systems integration, web services, batch processing
Experience in migrating codes to PySpark/Scala is big Plus
The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

Developer