Machine Learning Engineer

Project Timeline • Duration: 1–2 months • Commitment: Part-time, ~20 hours/week (potential to extend to 40 hours/week) • Schedule: Fully remote Key Responsibilities • Evaluate machine learning outputs produced by AI systems for quality, accuracy, and alignment with business objectives • Calibrate AI decision-making processes in tasks such as model training, performance optimization, and pipeline evaluation • Design, build, and refine machine learning models and data processing pipelines • Collaborate with researchers and engineers to iterate on architectures, training strategies, and deployment methods Ideal Qualifications • 2+ years of experience in machine learning, ideally in deep learning, data science, or large-scale AI systems within established organizations • Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related technical field. Advanced degrees (e.g., MSc, PhD) are a plus • Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and model evaluation techniques • Solid understanding of large-scale data processing, training pipelines, and system optimization • Excellent analytical, critical thinking, written, and presentation skills, with the ability to distill complex machine learning workflows into clear, actionable insights Skills: machine learning,data processing,data science,processing,artificial intelligence