AI/ML Scientist
Core
Building practical, scalable AI and ML solutions for a leading bank, covering credit risk, fraud detection, customer intelligence, automation, and GenAI-enabled services.
Role type
Senior IC AI/ML Scientist
Builds
Production ML models, deep learning/GenAI components, scalable data pipelines, MLOps workflows, and APIs/services for banking products
Domain
Banking / Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Python, NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Keras, supervised/unsupervised learning, deep learning, NLP, feature engineering, predictive modelling, GenAI, LLM techniques (transformers, embeddings, fine-tuning), scalable data pipelines, MLOps, model evaluation, explainability, bias, drift, Responsible AI
Preferred skills
MLflow, Kubeflow, Airflow, GPU systems optimization, Azure ML, Azure AI Services, Databricks, Spark, SQL, NoSQL databases
Technologies
PyTorch, TensorFlow, Keras, Azure ML, Azure AI Services, Databricks, Spark, MLflow, Kubeflow, Airflow
Responsibilities
Develop and validate ML models for credit scoring, fraud detection, and customer segmentation; build deep learning and GenAI components; construct scalable data and feature pipelines; implement MLOps workflows for reproducibility and governance; create APIs and services to embed ML capabilities into banking products; conduct A/B testing and performance benchmarking
Seniority
Mid-level, hands-on IC
