Principal Machine Learning Architect
Sift- Full Time
- Senior (5 to 8 years)
Candidates should possess a strong foundation in computer science, including knowledge of data structures, algorithms, and design patterns, along with experience in developing and maintaining production machine learning systems. Expertise in Python and cloud technology stacks like GCP or AWS is required, as well as an interest in architecting machine-learning platforms and a familiarity with tools such as Spark, Kubernetes, Airflow, and MLFlow.
As a Principal Machine Learning Engineer, you will design, develop, and deploy machine learning systems to solve practical problems and support data scientists and analysts’ model creation and analysis, partnering with business leaders and technical experts to improve feature extraction, model development, data pipelines, and model serving. You will also contribute to creating, refining, and executing new ideas, improving data science workflows, and potentially developing ways to train, interpret, and deploy neural network architectures for time series classification tasks.
Provides transparent credit solutions and education
Mission Lane LLC offers credit cards designed to help individuals build or rebuild their credit, particularly those with limited credit history or financial setbacks. Their products feature no hidden fees, no security deposits, and instant approval decisions, making them more accessible than traditional credit cards. The company stands out by providing free access to credit scores and educational resources, helping clients improve their creditworthiness. Mission Lane's goal is to promote responsible credit use by rewarding good financial behavior with higher credit limits over time.