Remote Senior AWS Machine Learning Engineer

Description:

• Spinify is seeking a Senior AWS Machine Learning Engineer to design, develop, and deploy AI-powered solutions for personalized learning experiences, predictive analytics, and real-time coaching feedback.
• The role involves building scalable Machine Learning models using AWS SageMaker, managing real-time data pipelines with AWS Kinesis and Glue, and implementing natural language querying with AWS Q.
• Responsibilities also include creating personalized learning paths with Amazon Personalize, analyzing emotional intelligence with Amazon Rekognition and Comprehend, and building real-time dashboards using Amazon QuickSight.
• The engineer will work on serverless workflows with AWS Lambda and API Gateway, integrate generative AI models with AWS Bedrock, and ensure data privacy and security compliance.

Requirements:

• 5+ years of experience with AWS Cloud Services, specifically SageMaker, Kinesis, Glue, Lambda, Personalize, and QuickSight.
• Strong background 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 and Transcribe.
• 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.