SENIOR SCIENTIST - SENIOR DATA SCIENTIST

Overview

3 to 5 years hands on experience building ML or deep learning models using PyTorch or TensorFlow. ? Strong .Net & Python programming skills; experience producing clean, well-documented, version-controlled code. ? Experience with distributed computing engines (e.g., Spark/PySpark, Dask, Ray) for large-scale data processing. ? Solid understanding of core ML concepts: supervised/unsupervised learning, neural network architectures, regularization, evaluation metrics, and model validation. ? Experience with model training workflows, hyperparameter tuning tools, and ML tooling (e.g., MLflow, TensorBoard). Preferred (nice-to-have) ? Experience with graph databases and graph ML (Neo4j, Amazon Neptune) or libraries like PyTorch Geometric. ? Background in cybersecurity use cases (threat detection, anomaly detection/fraud analytics).