Machine Learning Engineer (Remote)
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Key skills for this role
Role Overview
The employer is hiring a Machine Learning Engineer for a client on a contract basis.
The role focuses on designing, developing, and deploying machine learning models for complex business challenges.
The engineer will collaborate with cross-functional teams to integrate AI solutions and optimize model performance.
Key Skills for This Role
Full Job Posting
Role Overview
The employer is hiring a Machine Learning Engineer for a client on a contract basis.
The role focuses on designing, developing, and deploying machine learning models for complex business challenges.
The engineer will collaborate with cross-functional teams to integrate AI solutions and optimize model performance.
Compensation
- The payout is $20-$90 per hour.
Workplace
- The role is remote and can be performed from anywhere.
Key Responsibilities
- Design and implement machine learning models using Python, TensorFlow, or PyTorch.
- Collaborate with data scientists and software engineers to deploy models into production.
- Optimize and fine-tune models for scalability, accuracy, and efficiency.
- Develop and maintain data preprocessing, feature engineering, and model training pipelines.
- Conduct experiments to evaluate model performance and improve models based on business needs.
Required Skills and Qualifications
- Proficiency in Python and experience with TensorFlow or PyTorch.
- Strong knowledge of data structures, algorithms, and statistical modeling.
- Experience with AWS, Google Cloud, or Azure for model deployment and scaling.
- Knowledge of SQL and databases for data extraction and preprocessing.
- Familiarity with Git and collaborative development workflows.
- Understanding of MLOps practices for monitoring, logging, and continuous integration.
- Experience with hyperparameter tuning and model optimization.
- Ability to work independently and manage multiple tasks in a fast-paced environment.
Opportunity
The role contributes to AI-driven solutions intended to improve operational efficiency and customer experiences.
The work involves solving high-impact problems with modern tools and methodologies.
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