Description: Join our team as a Senior Machine Learning Engineer and accelerate the clean energy transition by developing production-ready ML systems that discover critical minerals for renewable energy infrastructure. You’ll combine advanced machine learning techniques with robust software engineering to build scalable solutions that directly impact global sustainability efforts. This role offers the opportunity to apply cutting-edge technology to one of the world’s most pressing environmental challenges.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Proven experience as a Software Engineer, with a focus on machine learning.
• Strong programming skills in Python and experience with common data science and ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Experience with the full machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment.
• Solid understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control systems, such as Git.

Please refer the Job description for details