Machine Learning Engineer Jobs

Maxiom Technology

Location:
United States, Ashburn

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

10.00 - 40.00 USD / Hour

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Job Description:

Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? Do you thrive in a dynamic and innovative environment, eager to push the boundaries of AI capabilities? If so, we invite you to join our team as we revolutionize the world of AI-driven applications.

Job Responsibility:

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

Nice to have:

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

What we offer:

Opportunity to work on cutting-edge projects that push the boundaries of AI technology
Collaborative and inclusive work environment that values innovation and creativity
Access to resources and support for continuous learning and professional growth
Competitive compensation package and benefits

Additional Information:

Job Posted:
December 10, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Machine Learning Engineer