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Home›Jobs›PeopleGrove›Machine Learning Engineer (Remote)
PeopleGrove

About PeopleGrove

Connecting students and alumni through mentorship networks

🏢 Tech👥 51-200📅 Founded 2015📍 San Francisco, California, United States

Key Highlights

  • Over 300 institutions served globally, enhancing student success
  • Founded in 2015, headquartered in San Francisco, CA
  • Supports personalized mentorship and community building
  • Team size of 51-200 employees, promoting a close-knit culture

PeopleGrove, founded in 2015 and headquartered in San Francisco, California, specializes in building personalized mentor-focused communities for students and alumni. With over 300 institutions worldwide as clients, including universities and colleges, PeopleGrove leverages its platform to enhance st...

🎁 Benefits

Employees at PeopleGrove enjoy competitive salaries, equity options, flexible PTO, and a remote-friendly work policy that promotes work-life balance....

🌟 Culture

PeopleGrove fosters a culture centered around community and connection, emphasizing the importance of mentorship and collaboration in both personal an...

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PeopleGrove

Machine Learning Engineer (Remote)

PeopleGrove • Mumbai Metropolitan Region

Posted 4 years ago🏠 RemoteMid-LevelMachine learning engineer📍 Mumbai metropolitan region
Apply Now →

Job Description

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:

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