Machine Learning Engineer Position

21 hours ago

Bengaluru, Karnataka, India The Metromax Group Full time

The Role

We are seeking a highly skilled Senior Artificial Intelligence Engineer to join our team at The Metromax Group. This role will involve designing, developing, and deploying machine learning models using AWS services such as Bedrock, Titan, Comprehend, SageMaker, Rekognition, and Transcribe.

About Our Company

The Metromax Group is a global company dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation. Our core values include integrity, agility, passion for excellence, collaborative partnerships, and intellectual curiosity.

Responsibilities

  • Design, develop, and deploy machine learning models using AWS services such as Bedrock, Titan, Comprehend, SageMaker, 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.

Qualifications

  • A Master's degree in Computer Science, Data Science, or a related field.
  • 4 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.

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