Senior Machine Learning Engineer - Intelligent Systems

- Bachelors degree - Minimum of 4 years experience programming with Python, Scala, or Java (Internship experience not applicable) - At least 3 years in designing and developing data-intensive solutions using distributed computing - Minimum of 2 years of practical experience with recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) - At least 1 year of experience in productionizing, monitoring, and maintaining models - 1+ years of experience building, scaling, and optimizing ML systems (preferred) - 1+ years of experience in data gathering and preparation for ML models (preferred) - 2+ years experience in developing efficient, robust, and maintainable code (preferred) - Experience in developing and deploying ML solutions in a public cloud environment (AWS, Azure, or Google Cloud Platform) (preferred) - Masters or doctoral degree in computer science, electrical engineering, mathematics, or a related field (preferred) - 3+ years of experience with distributed file systems or multi-node database frameworks (preferred) - Contributions to open-source ML software (preferred) - Authored or co-authored a paper on a ML technique, model, or proof of concept (preferred) - 3+ years experience in building production-ready data pipelines that support ML models (preferred) - Experience in designing, implementing, and scaling complex data pipelines for ML models while evaluating their performance (preferred)