Machine Learning Engineer

Infosys logo

Infosys

View Salaries, Reviews, and more  

Job Summary


Salary
S$6,500 - S$13,000 / Monthly

Job Type
-

Seniority

Years of Experience
At least 5 years

Tech Stacks
Python Airflow PyTorch Pandas CI AWS

Job Description

This is an individual contributor role based in Singapore.


Responsibilities

  • Ensure machine learning models and data pipelines are deployed successfully
  • Develop and maintain backend services for data and machine learning
  • Optimise and manage databases
  • Deploy applications to AWS cloud, leveraging on the full spectrum of AWS cloud services
  • Automate model training, testing and deployment using CI/CD
  • Understand and implement metrics to verify effectiveness and soundness of the machine learning mod

Requirements

  • Degree holder
  • At least 5 years' experience in roles of similar capacity
  • Hands-on working knowledge in:

Python (Pandas, Pytorch)

AWS, CI/CD, Dockers

Databases


Preferred Requirements

  • Previous work experience in Investment Banking com
  • Hands-on knowledge in AWS Machine Learning, Dogster, Airflow

Interview Questions of Machine Learning Engineer at Infosys

Interview questions from Infosys that are similar to Machine Learning Engineer
View more interview questions from Infosys โ†’
banner icon
Prepare For Your Interview in 1 Week?
Equip yourself with possible questions that interviewers might ask you, based on your work experience and job description.
Get Started!

Achieve your dream job with our top-notch tools!

Resume Checker Illustration

Resume Checker

Our free resume checker analyzes the job description and identifies important keywords and skills missing from your resume in just a minute!

Check Now
Interview Preparation Illustration

AI InterviewPrep

Utilizing advanced AI, our tool generates tailored interview questions based on your industry, role, and experience. Practice and receive feedback on your answers in real time!

Check Now
Resume Builder Illustration

Resume Builder

Let us show you the differences between a bad, good, and great resume, and guide you in building a resume that helps you stand out to employers, ensuring you land your next position faster!

Check Now