AI Innovation Lead for Large Language Model Development

5 days ago


Ashburn, Virginia, United States Maxiom Technology Full time
Job Summary

We are seeking an experienced Machine Learning Engineer to join our team at Maxiom Technology. The successful candidate will be responsible for designing, developing, and deploying machine learning models using Amazon SageMaker.

Key Responsibilities:

  • Collaborate with cross-functional teams to design, develop, and deploy machine learning models.
  • Utilize expertise in prompt engineering to craft effective inputs for LLM models.
  • Fine-tune and optimize LLM models to enhance performance, efficiency, and accuracy.
  • Design and implement experiments to evaluate model performance, iteratively improving results.
  • Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques.
  • Identify and troubleshoot issues related to model performance, data quality, and integration.
  • Contribute to the entire machine learning lifecycle, from data preprocessing and training to deployment and monitoring.
  • Collaborate with software engineers to integrate machine learning solutions into our applications.
  • Document work, best practices, and findings to share knowledge across the team.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).
  • Proven experience in developing and deploying machine learning models using Amazon SageMaker.
  • Strong background in prompt engineering techniques for fine-tuning LLM models.
  • Proficiency in programming languages such as Python for model development and experimentation.
  • Solid understanding of natural language processing concepts and techniques.
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker.
  • Experience with data preprocessing, feature engineering, and data augmentation.
  • Problem-solving skills to diagnose and address model performance and data-related issues.
  • Excellent communication skills to collaborate effectively within multidisciplinary teams.

What We Offer:

  • A competitive salary of $120,000 - $180,000 per year, depending on experience.
  • The opportunity to work on cutting-edge projects that push the boundaries of AI technology.
  • A collaborative and inclusive work environment that values innovation and creativity.
  • Access to resources and support for continuous learning and professional growth.


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