Description

You will design, develop, and deploy AI/ML models to solve specific business use cases within a production environment.

Responsibilities

• Design and deploy end-to-end AI/ML models to address business requirements.
• Implement model explainability, monitoring, and governance using Lumenova AI or FiddlerAI.
• Integrate AI/ML solutions into production workflows by collaborating with data scientists and engineers.
• Optimize ML pipelines for scalability and performance within Azure or other cloud environments.
• Ensure all models adhere to compliance, ethical, and operational standards.

Required Skills

• 5+ years of experience in AI/ML engineering and model implementation.
• Proven expertise using Lumenova AI or FiddlerAI for explainable AI.
• Experience implementing end-to-end AI/ML use cases in production.
• Proficiency in leveraging Azure or other cloud platforms for ML/AI development.
• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Preferred Skills

• Experience with Python, TensorFlow, PyTorch, or MLflow.
• Knowledge of MLOps practices including CI/CD for ML and model retraining.
• Understanding of data engineering concepts such as ETL, data pipelines, and feature stores.

Key Skills

Education

Bachelor's or Master's degrees