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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