Remote Senior AWS Machine Learning Engineer

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Description:

  • Spinify is seeking a Senior AWS Machine Learning Engineer to help build and maintain an innovative platform that integrates coaching, learning, and AI through personalized experiences, predictive analytics, and real-time feedback.
  • The role involves developing scalable Machine Learning models using AWS SageMaker for personalized learning and performance coaching.
  • Responsibilities include managing real-time data pipelines with AWS Kinesis and Glue, implementing natural language querying with AWS Q, and utilizing Amazon Personalize for personalized learning paths.
  • The engineer will also work on emotional intelligence analysis using Amazon Rekognition and Comprehend, create real-time dashboards with Amazon QuickSight, and build serverless workflows with AWS Lambda and API Gateway.
  • Integration of generative AI models using AWS Bedrock, ensuring data privacy and security with AWS IAM, and compliance with GDPR and SOC2 are key aspects of the role.

Requirements:

  • 5+ years of experience with AWS Cloud Services, specifically SageMaker, Kinesis, Glue, Lambda, Personalize, and QuickSight.
  • Proficiency in machine learning, including model training, optimization, and deployment using AWS SageMaker.
  • Experience in building and managing real-time data pipelines with Kinesis, integrating large datasets with Glue, and expertise in Natural Language Processing (NLP) using Amazon Comprehend.
  • Familiarity with AWS Bedrock, Python, SQL, API development with API Gateway and Lambda, real-time data visualizations with QuickSight, and data security best practices with AWS IAM.
  • Strong analytical and problem-solving skills, with the ability to optimize performance and scale solutions.

Benefits:

  • Competitive salary with performance-based bonuses.
  • Remote work flexibility.
  • Opportunity to work with cutting-edge AI and cloud technologies.
  • A collaborative and innovative team environment.
  • Opportunities for professional development and growth in the AI and ML space.
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