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Posted:2 weeks ago| Platform: Foundit logo

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mlflow kubeflow

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On-site

Job Type

Full Time

Job Description

HPE is seeking Data Engineer with strong experience in machine learning workflows to build and optimize scalable data systems. You'll work closely with data scientists and data engineers to power ML-driven solutions. Responsibilities: Collaborate closely with Machine Learning (ML) teams to deploy and monitor models in production, ensuring optimal performance and reliability. Design and implement experiments, and apply statistical analysis to validate model solutions and results. Lead efforts in ensuring high-quality data, proper governance practices, and excellent system performance in complex data architectures. Develop, maintain, and scale data pipelines, enabling machine learning and analytical models to function efficiently. Monitor and troubleshoot issues within data systems, resolving performance bottlenecks and implementing best practices. Required Skills: 56 years of data engineering experience, with a proven track record in building scalable data systems. Proficiency in SQL & NoSQL databases, Python, and distributed processing technologies such as Apache Spark. Strong understanding of data warehousing concepts, data modelling, and architecture principles. Expertise in cloud platforms (AWS, GCP, Azure) and managing cloud-based data systems would be an added advantage Hands-on experience building and maintaining machine learning pipelines and utilizing tools like MLflow, Kubeflow, or similar frameworks. Experience with search, recommendation engines, or NLP (Natural Language Processing) technologies. Solid foundation in statistics and experimental design, particularly in relation to machine learning systems. Strong problem-solving skills and ability to work independently and in a team-oriented environment.

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