Artificial Intelligence Engineer - Quantexa Platform

What You'll Be Doing :

- ML Model Development : Design, develop, and implement advanced Machine Learning and Deep Learning models tailored for fraud detection, financial crime, or compliance-based analytics.

- Data Pipeline Construction : Build and maintain scalable and efficient data and ML pipelines on the Azure cloud platform.

- Feature Engineering : Lead complex feature engineering initiatives to enhance model performance and accuracy.

- MLOps Implementation : Drive MLOps best practices, including automation of model deployment, monitoring, and retraining processes.

- Quantexa Platform Expertise : Leverage your strong experience with the Quantexa platform to integrate, optimize, and deploy models effectively.

- Code Development : Write clean, efficient, and well-documented code primarily in Scala and Python, utilizing Apache Spark for large-scale data processing and SQL for data manipulation.

- CI/CD & Governance : Implement and manage CI/CD pipelines for ML models, ensuring robust model governance, versioning, and lineage.

- Performance & Scalability : Ensure the performance, scalability, and reliability of ML models and their underlying infrastructure.

What You Must Have :

- Strong experience with the Quantexa platform (Quantexa certification preferred).

- Expertise in Machine Learning, Deep Learning, MLOps, and feature engineering.

- Hands-on proficiency with Scala, Python, Apache Spark, and SQL.

- Demonstrated experience with Azure cloud services for building and deploying ML solutions.

- Exposure to fraud detection, financial crime, or compliance-based analytics.

- Experience with CI/CD pipelines, model governance, and handling large-scale data sets.

- Ability to work effectively in a fast-paced environment and deliver solutions rapidly.

- Immediate availability to join is highly preferred.