Machine Learning Enginee

I'm green bio-based is hiring a Machine Learning Engineer to develop and deploy models for material research, production optimization, and sustainability analytics. The role also involves preparing data, evaluating and improving models, collaborating across teams, documenting workflows, and integrating models into existing systems and tools.

Responsibilities:

• The Machine Learning Engineer will design, develop, and deploy machine learning models to support material research, production optimization, and sustainability analytics
• Daily tasks include data collection and preprocessing, implementing and training models, evaluating performance, and iterating on algorithms to improve accuracy and robustness
• The role involves collaborating with data scientists, engineers, and sustainability experts to translate business and environmental goals into technical solutions
• The Machine Learning Engineer will document workflows, maintain code quality, and support integration of models into existing systems and tools

Requirements:

• Strong foundation in Computer Science and Algorithms, with experience implementing efficient, scalable solutions
• Applied skills in Pattern Recognition and Statistics for analyzing complex datasets and extracting meaningful insights
• Hands-on experience with Neural Networks and modern machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Proficiency in programming languages commonly used in machine learning (such as Python or R) and version control tools (e.g., Git)
• Experience working with real-world, noisy datasets and applying data preprocessing, feature engineering, and model validation techniques
• Ability to communicate clearly with cross-functional teams
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience
• Interest or experience in sustainability, materials science, or green technologies