# Machine Learning Engineer

**Company**: EarnIn
**Location**: Bengaluru, India
**Work arrangement**: onsite
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/earnin/jobs/7958844?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bff2c9b3-29a

## Description

As a Machine Learning Engineer at EarnIn, you will design, build, and launch efficient and reliable machine learning models to drive business impact. You will train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness. You will demonstrate an end-to-end understanding of applications and develop a deep understanding of the 'why' behind our models and systems. You will work closely with data platform teams to enable robust, scalable batch and real-time data pipelines. You will drive the team's high ML and engineering standards through learning and knowledge sharing. You will drive engineering best practices around code reviews, automated testing, and monitoring.

The ideal candidate will have a Bachelor's, MS degree, or PhD degree in Computer Science or a related technical field. They will have 0-1 year of experience in ML engineering. They will have strong programming skills in Python and data engineering skills. They will have in-depth knowledge of machine learning algorithms. They will have knowledge of or ability to quickly learn architectural patterns for large, high-scale software applications. They will have strong oral and written communication skills. Experience in NLP or CV is a plus.

## Skills

### Required
- Python
- machine learning algorithms
- data engineering skills
- architectural patterns for large, high-scale software applications

### Nice to have
- NLP
- CV

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/earnin/jobs/7958844?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)