Immediate need for a highly proficient Machine Learning Engineer for a 1-year renewable contract with placement across the GCC.
Responsibilities:
Develop, implement, and deliver ML models and components to tackle real-world business challenges, collaborating closely with Product and Data Science teams.
Inform ML infrastructure decisions based on a deep understanding of modeling techniques, including data and feature selection, model training, hyperparameter tuning, and validation.
Address complex problems by coding, testing, and validating ML models, and automating deployment processes.
Work as part of an Agile team to enhance software supporting advanced big data and ML applications.
Retrain, maintain, and monitor models in live environments.
Utilize or construct cloud-based architectures to deploy optimized ML models at scale.
Build efficient data pipelines to support ML models.
Implement continuous integration and deployment practices, ensuring successful model and code deployment through automation and monitoring.
Uphold code quality and governance standards to mitigate vulnerabilities and ensure adherence to Responsible and Explainable AI principles.
Proficiency in programming languages such as Python, Scala, or Java.
Qualifications:
Bachelor’s degree.
Minimum of 4 years programming experience with Python, Scala, or Java.
At least 3 years experience designing and building data-intensive solutions using distributed computing.
Minimum of 2 years hands-on experience with recognized ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
At least 1 year of experience in productionizing, monitoring, and maintaining models.
If you have the relevant experience required, please send your CV to [Confidential Information]
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