Machine Learning Engineer | Remote

Position: Machine Learning Engineer

Type: Contract

Compensation: $30 - $160/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