Machine Learning Engineer - Associate MLA-C01

As an AWS Certified Machine Learning Engineer - Associate, I possess the validated ability to build, operationalize, deploy, and maintain end-to-end machine learning (ML) solutions and pipelines on the AWS Cloud. My expertise covers the entire ML lifecycle, from ingesting and preparing data for modeling, to training and refining models, and finally to deploying, monitoring, and securing these solutions in production.

In data preparation, I am skilled in ingesting data from various sources, including streaming data with Kinesis, and transforming it using tools like Amazon SageMaker Data Wrangler and AWS Glue. I perform crucial feature engineering, handle data quality validation, and use SageMaker Clarify to identify and mitigate pre-training bias. For model development, I can select appropriate algorithms, including SageMaker's built-in options and foundation models from SageMaker JumpStart, and I am proficient in training, fine-tuning, and evaluating models. My skills include hyperparameter optimization with SageMaker's automatic model tuning, managing model versions in the SageMaker Model Registry, and interpreting model performance and bias.

My capabilities extend to deploying and orchestrating ML workflows. I can select and provision the optimal compute infrastructure (CPU/GPU) and deployment endpoints (real-time, batch, serverless) based on performance and cost requirements. I am adept at automating the entire ML workflow by building robust CI/CD pipelines using SageMaker Pipelines and AWS developer tools like CodePipeline. This includes implementing deployment strategies such as A/B testing and ensuring solutions are scalable and maintainable through infrastructure as code (IaC).

Finally, I ensure the long-term health and security of ML solutions by implementing comprehensive monitoring and maintenance strategies. I use SageMaker Model Monitor to detect data and model drift, CloudWatch to monitor infrastructure performance, and cost management tools like AWS Cost Explorer to optimize expenses. I also apply security best practices by configuring IAM roles, VPCs, and encryption to protect ML systems and resources, ensuring they remain secure and compliant.