Senior Machine Learning Engineer
4 weeks ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Link Group. As a key member of our data science team, you will be responsible for designing, developing, and deploying machine learning models to enhance real-time fraud detection.
Key Responsibilities:- Collaborate with data scientists and analytics teams to optimize workflows and enhance model performance.
- Streamline and refactor data pipelines to improve efficiency and scalability.
- Automate deployment and management of machine learning models.
- Implement MLOps architecture and practices for real-time model deployment and monitoring.
- Introduce automation to reduce manual processes and increase efficiency in model training, deployment, and monitoring.
- Apache Airflow, sklearn, MLflow, TensorFlow, SQL, GCP, Python, pandas, NumPy, Docker, Kubernetes, OpenShift, CI/CD Pipelines, AWS S3, Spark, Kafka, Flink, ELK Stack, NLP, Data science, Data pipelines, NoSQL, Open source, ETL, Scala, Java, Agile
- Agile, Scrum
Project Overview:
The Transactional Fraud Detection project aims to enhance real-time fraud detection through supervised machine learning models. This project requires ML Engineering support to improve code efficiency, optimize data processing pipelines, and reduce bottlenecks. The ML Engineer will collaborate with data scientists and analytics teams to refine workflows, allowing the data science team to focus on model development. The project uses tools such as Spark3+, Airflow, MLFlow, Python (Scikit-learn, Pandas, NumPy), and containerization technologies.
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