Senior Artificial Intelligence Engineer - Machine Learning (4-8 yrs)

Primary Purpose :

Developing and deploying innovative AI solutions using the AWS technology stack. You will be responsible for assisting with automation of the entire AI lifecycle, from data staging, model training and development to deployment, monitoring, and application integration

Responsibilities :

- Design, develop, and deploy machine learning models using AWS services such as Bedrock, Titan, Comprehend, SageMaker as well as Rekognition and Transcribe.

- Effectively integrate, automate, and optimize data pipelines for model training and inference using AWS Glue, S3, and Lambda.

- Implement effective AWS infrastructure for training, testing, and deploying machine learning models, including deep learning models such as large language models (LLMs) and integration of foundation models.

- Monitor and maintain deployed models in production, ensuring high performance and accuracy.

- Collaborate with data engineers, data scientists and software engineers to integrate AI models into existing applications and systems.

- Stay up-to-date on the latest advancements in AI and AWS technologies.

- Benchmark and optimize computational performance of AI modeling processes.

- Document and communicate technical findings and solutions effectively.

Qualifications :

- Master's degree in Computer Science, Data Science, or a related field.

Experience :

- 3 to 8 years of experience in machine learning engineering or a related field.

- Experience in deploying and scaling machine learning models in AWS production environments.

- Experience with AWS services such as SageMaker, Bedrock, Titan, Comprehend, SageMaker, Rekognition, or Transcribe

- Experience working with LLMs and foundation models such as provide through AWS Bedrock or Titan.

- Experience with AWS Lambda and Glue.

- Experience with MLOps and continuous integration/continuous delivery (CI/CD) pipelines.

- Understanding of machine learning concepts and algorithms.

- Strong problem-solving and analytical skills.

- Ability to work effectively in a team environment.

- Excellent communication and presentation skills.