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.