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 Tensor Flow 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 Tensor Flow 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 Linked InCheck email for next steps Participate in resume evaluation & interview stage

Skills: Tensorflow, Scikit-Learn, Data Preprocessing