TL;DR

Senior Staff Engineer (Machine Learning, AI): Converting client’s business use cases and technical requirements into technical design which meets the requirements with an accent on identifying different solutions and being able to narrow down the best option. Focus on developing and designing the overall solution for defined functional and non-functional requirements and defining technologies, patterns, and frameworks to materialize it.

Company

%hirify_global% is a Digital Product Engineering company that builds products, services, and experiences.

What you will do

Convert client’s business use cases and technical requirements into technical design.
Map decisions with requirements and translate the same to developers.
Identify different solutions to meet client’s requirements.
Define guidelines and benchmarks for NFR considerations during project implementation.
Write and review design documents explaining overall architecture, framework, and high-level design.
Resolve issues raised during code/review through systematic analysis.

Requirements

Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
Solid understanding of supervised/unsupervised learning, data preprocessing, and feature engineering.
Experience with model evaluation metrics (accuracy, precision, recall, F1-score).
Familiarity with banking AI use cases such as fraud detection, personalization, credit scoring, and churn prediction.
Hands-on experience with cloud ML platforms (Azure ML, AWS SageMaker, Google Vertex AI).
Knowledge of MLOps tools like MLflow and Kubeflow for CI/CD, model lifecycle management, and monitoring.
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.