Machine Learning Engineer

October 28

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PeopleGrove

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Education • Enterprise • Productivity

PeopleGrove is a company dedicated to transforming higher education by enhancing campus initiatives that support student and alumni success. Offering a range of solutions for universities, PeopleGrove focuses on increasing enrollment, retention, and graduation rates by engaging students and alumni through experiential learning, career services, and industry partnerships. The platform facilitates project-based learning by connecting universities with corporations and aims to redefine major and career selection through PathwayU. With over 20 million users from more than 650 institutions, PeopleGrove has become a trusted partner for higher education, helping schools connect with their communities, enhance alumni engagement, and drive philanthropic outcomes.

51 - 200 employees

Founded 2015

📚 Education

🏢 Enterprise

⚡ Productivity

💰 Private Equity Round on 2022-05

📋 Description

• 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