Machine Learning Engineer | Remote
Indexed description
Position: Machine Learning Engineer
Type: Contract
Compensation: $30 - $100/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Develop, train, and deploy machine learning models using TensorFlow and Scikit-Learn to solve real-world business problems.
- Conduct comprehensive data preprocessing, including data cleaning, transformation, and feature engineering to ensure high-quality inputs for model development.
- Collaborate with data scientists, data engineers, and business analysts to understand requirements and translate them into scalable machine learning solutions.
- Continuously monitor, evaluate, and refine model performance to ensure accuracy, efficiency, and reliability in production environments.
- Document model development processes and communicate technical concepts and results with both technical and non-technical team members.
- Stay updated on the latest research and advancements in machine learning and apply innovative techniques to enhance project outcomes.
Requirements:
- Have expert-level proficiency in TensorFlow and Scikit-Learn for end-to-end model development and deployment.
- Possess a strong background in data preprocessing, including handling missing values, outlier detection, and feature selection.
- Have demonstrated experience in designing and implementing production-ready machine learning systems.
- Have a solid understanding of algorithm selection, model evaluation metrics, and performance tuning.
- Be able to work independently and remotely, delivering results in a fast-paced, deadline-driven environment.
Application Process:
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage
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