- خبرة
- أي
- مرتب
- USD 30 – USD 100 / hour
- الوظائف الشاغرة
- 1
- تم النشر
- لا مزيد من التفريغ
- Work mode
- العمل من المنزل
- Eligibility
- Candidates who can work remotely from Canada and are available for a contract role with a weekly commitment of 10 to 40 hours.
- Resume
- Required to apply
المسمى الوظيفي
Role Overview
We are looking for a Machine Learning Engineer for a contract assignment that can be done remotely from Canada. The position offers an hourly rate of $30 to $100 and requires a commitment of 10 to 40 hours per week.
What You’ll Do
- Build, train, and release machine learning models with TensorFlow and Scikit-Learn to address practical business challenges.
- Prepare datasets end to end by cleaning data, transforming it, and creating features that support strong model performance.
- Work closely with data scientists, data engineers, and business analysts to convert business needs into scalable ML solutions.
- Track model performance in production, assess results, and make improvements to keep systems accurate, efficient, and dependable.
- Record the model development workflow and explain technical findings clearly to both technical and non-technical stakeholders.
- Keep up with current machine learning research and techniques, and apply useful innovations to improve outcomes.
What We’re Looking For
- Advanced hands-on experience with TensorFlow and Scikit-Learn across the full model development and deployment lifecycle.
- Strong capability in data preprocessing, including missing value treatment, outlier handling, and feature selection.
- Proven ability to design and deliver machine learning systems that are suitable for production use.
- Good understanding of model choice, evaluation measures, and performance optimization methods.
- Ability to work autonomously in a remote setting and deliver results in a fast-moving, deadline-oriented environment.
Application Process
- Submit your application through the provided quick-apply process.
- Watch for follow-up communication by email.
- Proceed through resume review and the interview stage.