Leading AI Engineer for Advanced Technology Development

21 hours ago

Bengaluru, Karnataka, India ApicalGo Consultancy Full time

Company Overview:

We are ApicalGo Consultancy, a leading provider of innovative technology solutions. We strive to push the boundaries of what is possible through the application of Artificial Intelligence.

About the Role:

We are seeking an experienced Senior AI Engineer to join our team and help drive the development of cutting-edge AI solutions using the AWS technology stack. As an integral part of our engineering team, you will be responsible for designing, developing, and deploying machine learning models that meet our high standards of performance and accuracy.

Key Responsibilities:

  • Machine Learning Model Development: Design and develop machine learning models using AWS services such as Bedrock, Titan, Comprehend, SageMaker, Rekognition, and Transcribe.
  • Data Pipeline Optimization: Effectively integrate, automate, and optimize data pipelines for model training and inference using AWS Glue, S3, and Lambda.
  • Infrastructure Implementation: 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.
  • Model Monitoring: Monitor and maintain deployed models in production, ensuring high performance and accuracy.
  • Collaboration: Collaborate with data engineers, data scientists, and software engineers to integrate AI models into existing applications and systems.
  • Tech Advancement: Stay up-to-date on the latest advancements in AI and AWS technologies.
  • Performance Tuning: Benchmark and optimize computational performance of AI modeling processes.
  • Documentation: Document and communicate technical findings and solutions effectively.

Requirements:

  • A Master's degree in Computer Science, Data Science, or a related field.
  • At least 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, Rekognition, or Transcribe.
  • Experience working with LLMs and foundation models such as provided 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.

Estimated Salary Range: $140,000 - $200,000 per year.

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