Staff Engineer, Machine Learning (AI)

TL;DR

Staff Engineer, Machine Learning (AI): Converting client's business use cases and technical requirements into technical designs, with an accent on supervised/unsupervised learning, data preprocessing, and feature engineering. Focus on developing explainable AI models, fine-tuning, prompt engineering, and RAG-based architectures.

Company

hirify.global is a Digital Product Engineering company building products, services, and experiences.

What you will do

• Convert client's business use cases and technical requirements into technical designs.
• Map decisions with requirements and translate them to developers.
• Identify different solutions and narrow down the best option that meets 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.

Nice to have

• Preferred certifications: TensorFlow Developer, AWS ML Specialty, Google Professional ML Engineer.

Culture & Benefits

• Dynamic and non-hierarchical work culture.