Hybrid ML Engineer II chez Nissan Digital Hub

Key Responsibilities:

• Build, deploy, and maintain ML models in production environments.

• Perform feature engineering, data preprocessing, and model evaluation.

• Integrate ML solutions into existing applications.

• Automate ML workflows and implement MLOps pipelines.

• Monitor and troubleshoot model performance and reliability.

Required Skills:

• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).

• Experience with cloud platforms (AWS, GCP, Azure) and CI/CD tools.

• Knowledge of deep learning, NLP, or computer vision techniques.

• Familiarity with Git, distributed systems (Spark/Hadoop), and big data handling.