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Senior Machine Learning Engineer
Job description
The Machine Learning Engineer will engage with the GenAI project for our client. This project includes the development and implementation of machine learning models and algorithms to improve customer experiences, streamline business operations, and increase revenue for our customer. As a Senior Machine Learning Engineer, your role will entail designing, implementing, and maintaining machine learning solutions aligned with project requirements.
You will work alongside cross-functional teams to comprehend business needs, gather data, and establish scalable machine learning pipelines.
Responsibilities
Design and implementation of machine learning models and algorithms Development of scalable machine learning pipelines utilizing Apache Spark and Databricks Implementation of MLOps practices to ensure efficient model deployment and monitoring Use of Microsoft Azure for cloud-based machine learning services Collaboration with data scientists and other stakeholders to comprehend business requirements Evaluation and optimization of machine learning models for performance and accuracy Requirements Experience in Machine Learning Engineering Proficiency in Apache Spark, Databricks, MLOps, Microsoft Azure, Python Excellent English communication skills (B2 level) Flexibility to work PST hours shift at least till 8 pm by Kyiv Nice to have Familiarity with Docker and Kubernetes Background in Lang.
Chain and Large Language Models Understanding of Natural Language Processing
Description copied from EPAM Systems's careers page. Read the full posting before you apply.
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