Senior AI/ML Developer With AWS Data Lake Expertise (Remote)

Job Description:
We are seeking a Senior AI/ML Developer well-versed in the AWS ecosystem, particularly with expertise in setting up and maintaining AWS Data Lakes. The ideal candidate will be familiar with the entire AWS Data Lake architecture, from data ingestion from multiple sources, storage and cataloging, to analytics, visualization, and integration with machine learning platforms.

Responsibilities:

• Set up, maintain, and optimize AWS Data Lakes, ensuring efficient data ingestion from IoT sensors, historical data records, and third-party supplemental data.
• Utilize services such as Amazon Kinesis Data Firehose, AWS Glue, and AWS SFTP for data ingestion and initial processing.
• Implement and manage data storage solutions in AWS, focusing on Landing Data, Raw Data, and Curated Data layers.
• Leverage AWS Glue Data Catalog, ensuring that data is properly cataloged and accessible for analytics and machine learning processes.
• Collaborate with the data analytics team, providing them with accessible data via tools like Amazon Athena and Amazon EMR.
• Work closely with the visualization team to integrate data with tools like Amazon QuickSight.Integrate machine learning models with AWS Data Lakes, leveraging platforms like Amazon SageMaker.
• Ensure data security and monitoring using AWS IAM, AWS KMS, AWS CloudTrail, and AWS CloudWatch.
• Stay updated with the latest AWS services and advancements in the field of data lake architecture and machine learning.

• At least 5 years of experience in AI/ML development.
• Profound knowledge of AWS Data Lake architecture and services.
• Experience with data ingestion tools like Amazon Kinesis Data Firehose and AWS Glue.
• Proficiency in working with AWS data storage, analytics, visualization, and machine learning services.Familiarity with AWS security and monitoring tools.
• Proficiency in programming languages such as Python, R, or Julia.
• Excellent problem-solving and collaboration skills.
• Ability to work independently and in a remote setting.
• To apply, please submit your resume and a cover letter detailing your experience, particularly highlighting projects where you’ve implemented or managed AWS Data Lakes.