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Python + GCP

Infosys Bengaluru East, Karnataka, India

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Job Description

"Unlock the power of data-driven decision making with Python and Google Cloud Platform at Infosys."

As a Python developer with expertise in Google Cloud Platform, you will play a pivotal role in designing, developing, and validating cutting-edge solutions for our clients.

You will work closely with cross-functional teams to understand client requirements, translate them into system requirements, and provide accurate project estimations to Technology Leads and Project Managers.

Why you should learn this:

The demand for skilled Python developers with Google Cloud expertise is on the rise, with a projected growth rate of 20% in the next two years.

Expected Salary: $100,000 - $150,000 per annum, depending on experience and location.

How it works:

  • Step 1: Learn the fundamentals of Python programming, including data structures, file input/output, and object-oriented programming.
  • Step 2: Explore Google Cloud Platform services, including Compute Engine, Cloud Storage, Cloud Networking, and Cloud Databases.

Core Concepts to Master

1

Machine Learning with Scikit-Learn

Develop machine learning models using Scikit-Learn, including supervised and unsupervised learning, regression, classification, and clustering.

2

Google Cloud AI Platform

Deploy and manage machine learning models on Google Cloud AI Platform, including model serving, model monitoring, and model deployment.

3

Cloud Storage and BigQuery

Design and implement data warehouses using BigQuery, and store and retrieve data using Cloud Storage.

4

Cloud Networking and Security

Configure and manage network security groups, firewalls, and VPNs using Cloud Networking and Cloud Security.

Interview Questions (Beginner)

  • What is the difference between a list and a tuple in Python?
  • How do you handle exceptions in Python?
  • What is the purpose of the `with` statement in Python?

Job Overview

CompanyInfosys
Employment TypeFull-time
LocationBengaluru East, Karnataka, India
Experience LevelFresher
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Advance Questions

  • • How do you optimize machine learning models for performance and accuracy?
  • • What are the key differences between Google Cloud AI Platform and Cloud Machine Learning Engine?
  • • How do you design and implement a data pipeline using Cloud Dataflow and Cloud Storage?