Job Description

Shtudy's company mission is to allow ethnically diverse tech talent to confidently connect with companies that prioritize workplace inclusion and growth. We have many clients who are looking for machine learning engineers with experience in using cutting-edge ML techniques to drive efficient product optimization. This is your chance to collaborate and work with a highly talented and globally-diverse team to engineer innovative, revolutionary solutions.

How to Apply:

To be eligible to apply, create your profile here (it takes 2-5 minutes):

Job responsibilities

Reinforce our product by developing a strong back-end architecture with high-processing data pipelines or machine learning models
Develop efficient ML models using various programming languages, data structures, and algorithms with information retrieval and distributed computing concepts
Automate pipeline modeling and develop operational ranking models for classification
Test the effectiveness of ML models via thorough end-user research and experimentation
Generate solutions for data management issues through feature implementation

Minimum Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline
2+ years of machine learning and engineering experience
Comprehensive knowledge in engineering, data science, statistics, and applied ML techniques for model production, deployment, and testing
Hands-on experience in SQL and NoSQL
Proficiency in Python

Preferred Qualifications

MLOps experience in model monitoring, CI/CD, and DVC
Knowledge of ML techniques and algorithms such as supervised/unsupervised/reinforcement learning, classification, etc.
Knowledge of ML systems such as recommendation or ranking systems

How to Apply:

To be eligible to apply, create your profile here (it takes 2-5 minutes):

At Shtudy, we only connect you with companies that have been pre-vetted for workplace culture, diversity, and inclusion standards. We partner with employers who genuinely care about the welfare and happiness of their employees, and we will always remain free for our candidates.

How to Apply:

To be eligible to apply, create your profile here (it takes 2-5 minutes):

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Shtudy

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