Lead Machine Learning Engineer - Bank Tech

- Bachelors Degree in a relevant field - Minimum 6 years of experience designing and implementing data-driven solutions using distributed computing (Internship experience not included) - At least 4 years of programming experience with Python, Scala, or Java - At least 2 years of experience in building, scaling, and optimizing machine learning systems - Masters or Doctoral Degree in computer science, electrical engineering, mathematics, or a related field (preferred) - Over 3 years of experience in creating production-grade data pipelines for ML models (preferred) - More than 3 years of hands-on experience with recognized ML frameworks such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow (preferred) - At least 2 years of experience writing efficient, robust, and maintainable code (preferred) - Minimum 2 years of experience in data collection and preparation for ML models (preferred) - 2+ years of supervisory experience (preferred) - 1+ years leading teams in developing ML solutions utilizing industry best practices, patterns, and automation (preferred) - Experience deploying ML solutions in public cloud environments like AWS, Azure, or Google Cloud Platform (preferred) - Experience with designing, implementing, and scaling complex data pipelines for ML models while assessing their performance (preferred) - Contribution to the ML field through presentations, publications, blogs, open-source efforts, or patents (preferred)