Bees at Work

Senior Python/AWS Developer

Bengaluru

Job Type

Full Time

About the Role

As a Senior Python/AWS Developer role you will be working with some of the best-in-class Coders, AI/ML Scientists and Business Analytics Consultants in an environment which will encourage you to contribute widely to functional and technological aspects without worrying about conventional job silos.

Requirements

  • Migration of existing AI/Model pipeline to AWS Cloud

  • Establish Scalable, Efficient, Automated Solutions for large scale Data Analysis, AI/ML Model Development, AI/ML Model Validation and AI/ML Model Implementation

  • Writing Efficient, Reusable, Testable, and Scalable Python Code

  • Perform Testing and ensure Bugs are thoroughly resolved

  • Optimize existing AI/ML Automation Pipeline

  • Provide mentorship to Junior Developers, facilitate their learning, and grow yourself in the process

  • Design and implement reporting and metrics that track and monitor the performance of our Projects

Skills

  • Strong Programming experience with object-oriented/object function scripting languages: Python/Scala, Spark.

  • Excellent with Core Python Fundamentals, Python Programming, and other relevant Python Frameworks (such as Django, Flask etc.)

  • Proficient with Amazon Web Services (AWS): S3, EC2, RDS, Redshift, SageMaker, API Gateway, Lambda, Dev Ops, Athena, Redshift, EMR etc

  • Expertise in SQL(PL/SQL) and Database

  • Strong Interpersonal and Communication Skills, both Verbal and Written

  • Solid Client Facing Communication Skills, Collaboration and Team-Orientation

  • Strong Problem Solving and Troubleshooting Skills

  • Good to have:

  • PySpark & R Programming understanding

  • Exposure to other Cloud based platforms like Azure Databricks, GCP

  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.

  • Education:

  • Bachelor’s degree in Engineering field or Equivalent

About Us

Scienaptic is on a mission to increase credit availability by transforming technology used in credit decisioning. Over 150 years of credit experience is embedded in Scienaptic's AI native credit decision platform. Our clients across banks, credit unions, fintech, and other lenders use the platform to constantly improve the quality of underwriting decisions. This enables them to say ‘yes’ to borrowers more often and faster.