What You’ll Do Collaborate with research teams to prepare datasets for training and evaluation. Implement and run model training workflows, including hyperparameter tuning. Perform rigorous evaluation of models against benchmark datasets. Build and maintain pipelines for data preprocessing, feature extraction, and dataset versioning. Contribute to model deployment and monitoring in production environments. Who You Are 2–5 years experience in machine learning engineering or applied data science. Strong programming skills in Python (PyTorch, TensorFlow, or equivalent). Experience with data wrangling and large dataset preparation. Ability to collaborate closely with ML researchers on experimental workflows. Comfortable with cloud environments (AWS/GCP/Azure) and containerization (Docker).