AI Innovations Specialist with Expertise in Large Language Models

6 days ago


Ashburn, Virginia, United States Maxiom Technology Full time

Maxiom Technology is a pioneering technology company at the forefront of AI-driven solutions.

We specialize in developing intelligent applications that leverage the power of machine learning and natural language processing.

Our team consists of talented individuals who are dedicated to creating groundbreaking solutions that transform industries.

About the Role:

We are seeking an experienced Machine Learning Engineer with SageMaker Expertise to join our team.

The successful candidate will have a strong background in prompt engineering techniques for fine-tuning Large Language Models (LLMs).

Key Responsibilities:

  • Collaborate with cross-functional teams to design, develop, and deploy machine learning models using Amazon SageMaker.
  • Utilize expertise in prompt engineering to craft effective inputs for LLMs to achieve desired outputs.
  • Fine-tune and optimize LLMs 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 LLMs 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 LLMs.
  • 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.
  • Ability to adapt to evolving technologies and learn quickly in a fast-paced environment.

Bonus Skills:

  • Publications or contributions to the machine learning community.
  • Experience with cloud services (AWS, Azure, Google Cloud) and containerization technologies.
  • Knowledge of DevOps practices for model deployment and monitoring.

Why Choose Maxiom Technology?

We Offer:

  • A competitive salary range of $120,000 - $180,000 per annum.
  • 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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