Senior Machine Learning Engineer

Dulles Town Center, VA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Please find the job description below

Job Title: Senior Machine Learning Engineer 100% Remote

Location: Washington DC (Remote)

Experience Level: 10 Years

Technology Stack:

AWS SageMaker Studio Python PyTorch OCRTensorFlow TF-IDF OpenCV

Good to have: AutoGluon and Microsoft DiT (Document Image Transformer)

Key Responsibilities:

Maintain optimize and enhance existing document and image processing systems for code prediction.

Collaborate with cross-functional teams to gather business requirements and translate them into ML solutions.

Monitor system performance and proactively troubleshoot document/image model issues.

Design and conduct machine learning experiments specific to document and image analysis interpret results and fine-tune models for performance.

Apply advanced ML techniques to improve document image classification layout analysis and document structure understanding.

Integrate transformer-based models with OCR pipelines to improve text extraction from images.

Use AWS SageMaker Studio for training deploying and monitoring document/image processing models.

Implement AutoML techniques (e.g. AutoGluon AWS AutoML) to automate model selection and optimization in document/image use cases.

Apply TF-IDF and other text feature extraction methods to support NLP-driven document classification.

Stay current with the latest advancements in document and image processing within the ML/AI space and integrate applicable improvements.

Required Qualifications:

Bachelors or Masters degree in Computer Science Machine Learning or a related field.

10 years of experience in machine learning with a strong focus on document and image processing.

Proven experience building and optimizing ML systems in document processing OCR and image understanding.

Proficiency in Python and ML libraries like TensorFlow and PyTorch.

Hands-on experience with Microsoft DiT or similar transformer models tailored to document image understanding.

Deep understanding of self-supervised learning approaches applied to document and image pre-training.

Proficient in OpenCV for image preprocessing tasks such as resizing feature extraction and noise reduction.

Practical experience with AWS SageMaker ecosystem and AutoML tools such as SageMaker Autopilot.

Familiarity with AutoGluon for streamlining model optimization and pipeline automation in image/text use cases.

Experience applying NLP techniques like TF-IDF to text extracted from document images.

Strong grasp of cloud platforms (AWS Azure) and containerization tools like Docker.

Excellent analytical communication and cross-functional collaboration skills.

Hi Please find the job description below Job Title: Senior Machine Learning Engineer 100% Remote Location: Washington DC (Remote) Experience Level: 10 Years Technology Stack: AWS SageMaker Studio Python PyTorch OCRTensorFlow TF-IDF OpenCV Good to have: AutoGluon and Microsoft Di...