Machine Learning Engineer | Remote

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