Senior Machine Learning Developer

3 weeks ago

Bangalore, India The Metromax Group Full time

About The Metromax Group

The Metromax Group is a global organization dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation through cutting-edge clinical research and innovation.

Our Mission

We believe in the power of truth and collaborative relationships to drive human health benefits. Our "Character Achieves Results" culture is driven by five key values that guide our actions: Integrity, Agility, Passion for Excellence, Collaborative Partnerships, and Intellectual Curiosity.

Job Summary

We are seeking a highly skilled Senior Machine Learning Developer to join our team. The ideal candidate will have a strong background in machine learning engineering and experience in deploying and scaling machine learning models in cloud-based environments.

Key Responsibilities

  • Design, develop, and deploy machine learning models using cloud-based services such as AWS Bedrock, Titan, Comprehend, and SageMaker.
  • Effectively integrate, automate, and optimize data pipelines for model training and inference using AWS Glue, S3, and Lambda.
  • Implement effective cloud infrastructure for training, testing, and deploying machine learning models, including deep learning models such as large language models (LLMs) and 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 cloud 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.
  • 4 to 8 years of experience in machine learning engineering or a related field.
  • Experience in deploying and scaling machine learning models in cloud-based production environments.
  • Experience with cloud services such as AWS SageMaker, Bedrock, Titan, Comprehend, and Rekognition.
  • 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.

Required Education

B.E/MTech/MCA degree in a computer-related field.

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