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Machine Learning Engineer
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Machine Learning Engineer
2 months ago
Primary Skills (Priority given to items 3 and 4):Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python.Comprehensive understanding and hands-on experience in designing, implementing, and optimizing end-to-end machine learning pipelines.Proven ability to efficiently handle, process, and analyze large datasets with PySpark.Experience with cloud platforms and services related to machine learning, data storage, and processing (e.g., AWS S3, AWS SageMaker, GCP BigQuery, Azure ML Studio, Databricks).
Preferred Skills:Experience with major cloud platforms such as AWS, Azure, and GCP.Proven experience with Amazon Sagemaker, Azure ML, and/or GCP Vertex AI Platform.Understanding of LLM prompt engineering.Knowledge of PySpark.Familiarity with deep learning frameworks.Strong problem-solving and communication skills.Proficiency in Python and Linux.1+yrs of exp in relevant skills.Responsibilities:Develop and maintain scalable machine learning models and pipelines.Perform statistical analysis and machine learning to extract insights from large datasets.Collaborate with cross-functional teams to integrate machine learning solutions into production environments.Utilize cloud services to enhance data storage, processing, and machine learning workflows.Continuously improve existing machine learning processes and implement best practices.Effectively communicate findings and insights to both technical and non-technical stakeholders.
