Machine Learning Engineer with Expertise in SageMaker and LLM Model Tuning

3 weeks ago

Ashburn, Virginia, United States Maxiom Technology Full time
Job Title: Machine Learning Engineer with SageMaker Experience

We are seeking a highly skilled Machine Learning Engineer with expertise in Amazon SageMaker and Large Language Model (LLM) model tuning to join our team at Maxiom Technology. As a key member of our AI solutions development team, you will be responsible for designing, developing, and deploying machine learning models using SageMaker.

Key Responsibilities:

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

Why Maxiom Technology?

We offer a collaborative and inclusive work environment that values innovation and creativity. Our team consists of talented individuals who are dedicated to creating groundbreaking solutions that transform industries. We provide access to resources and support for continuous learning and professional growth, as well as a competitive compensation package and benefits.

If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you. Apply now by sending your resume and a cover letter.

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