What is the salary for this Machine Learning Engineer (Remote) role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with PeopleGrove.

Where is this Machine Learning Engineer (Remote) position located?

This is an on-site position at PeopleGrove located in Mumbai Metropolitan Region.

How do I apply for this Machine Learning Engineer (Remote) job at PeopleGrove?

Click the 'Apply' button on this page to be redirected to PeopleGrove's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

PeopleGrove is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at PeopleGrove.

Machine Learning Engineer (Remote)

PeopleGrove Mumbai Metropolitan Region Today

data

As Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions.

And as the team grows, you’ll take a lead role in establishing the processes and best practices for our ongoing research and development efforts. As an ML engineer you will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms and infrastructure. Day-to-day activities include:

Roles and Responsibility

Architecting and implementing end-to-end solutions for accelerating experimentation and model building

Creation of microservices and APIs for serving ML models and ML services

Designing and implementing potential products and proof-of-concepts

Deploying data solutions and pipelines to increase the efficiency of ML workflows

Working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products

Exploring and onboarding new platforms, technologies and algorithms

Managing project priorities, deadlines and deliverables

Requirements

Four+ years experience working in a Machine Learning, Deep Learning, and NLP Domain

Very good understanding of Natural Language Processing and Machine Learning with projects to back the same

Experience managing and deploying ML models in real world environments

Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields

Experience working with Python, Scala, Spark or other open-source software with data science libraries

Experience in advanced math and statistics

Able to understand various data structures and common methods in data transformation

Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).

Prior experience of working with GCP (not mandatory)

Benefits

Remote Option - You can work from any location of your choice

Reimbursement of Home Office Setup

Competitive Salary

Friendly atmosphere

Flexible paid vacation policy

At PeopleGrove, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. PeopleGrove is proud to be an equal opportunity workplace.

If you need assistance or an accommodation due to a disability, you may contact us at careers@peoplegrove.com or you may call us at 650-584-3400.