Senior Machine Learning Software Engineer

Job ID: 2511657

Location: REMOTE WORK, VA, US

Date Posted: 2025-11-18

Category: Software

Subcategory: SW Engineer

Schedule: Full-time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: Yes

Description

We are seeking a passionate and skilled Senior Machine Learning Software Engineer expert to join our high-performing development team. The ideal candidate will have strong background in machine learning techniques and data analytics. The candidate must have AWS cloud engineering experience to ensure integration of the AI/ML/NLP solutions in cloud native environments. You will be responsible for extracting insights from large datasets, documenting images, building predictive models, and developing algorithms to solve complex business problems. You will collaborate with product managers, architects, and cross-functional teams to understand requirements and deliver solutions aligning with client objectives and goals.

This role is 100% remote

KEY SKILLS: Data Analysis, Machine Learning, Programming (Python, R), Statistical Analysis, Problem solving, Leadership, Adaptability, JSON, XML

NICE TO HAVE SKILLS: JAVA, SQL, Oracle, Web services (REST Based), Spring, SpringBoot, Hibernate

JOB DUTIES:

Develop predictive models using machine learning algorithms such as regression, classification, clustering, and neural networks.

Develop end-to-end plans for AI/ML/NLP innovations that are compliant with cybersecurity policies.

Use sound software engineering principles and best practices to ensure that developed code is maintainable, efficient, reliable, understandable, secure, fault tolerant, and of high quality.

Identify and address performance bottlenecks, security vulnerabilities, and other technical challenges.

Use of Terraform, GitLab, and GitLab Runner to support CI/CD, automated testing, quality and security scans.

Provide operational and maintenance support including production deployment, smoke testing, monitoring, issue root cause analysis and resolution.

Participate as a member in Agile teams to review user stories, estimate and create sprint backlogs, participate in sprint reviews, demos and retrospectives.

Qualifications

REQUIRED EDUCATION AND EXPEREINCE:

Bachelor's or higher degree in Computer Science, Machine Learning, or a related field.

10+ years overall experience in Software/IT.

5+ years in Data Analysis and Machine Learning.

Proven experience in maintaining and enhancing machine learning systems, preferably in document processing.

Strong proficiency in Python and relevant machine learning libraries/frameworks like TensorFlow, PyTorch.

Proven expertise in working with AWS services like Bedrock, Lambda, ECS, SQS, and SNS

Proven expertise in working with Image Transformer models, particularly those designed for document image understanding like Microsoft's DiT.

Proven experience with creating Terraforms and working with GitLab Runner to deploy working sortware.

Demonstrated experience in implementing and working with self-supervised learning techniques, especially in the context of pre-training models on large-scale unlabeled text images. Familiarity with approaches like Microsoft's DiT for Document AI tasks.

Hands-on experience in applying Transformer models to various Document AI tasks, including document image classification, document layout analysis.

Proven ability to leverage self-supervised pre-trained models, like DiT, as backbone networks to achieve state-of-the-art results in downstream tasks.

Proficient in designing experiments, analyzing results, and fine-tuning models to achieve optimal performance on Document AI tasks. Ability to interpret and communicate experiment results effectively.

Familiarity with integrating Transformer models into OCR pipelines and collaborating with OCR technologies for enhanced text detection and extraction capabilities.

Solid understanding of image processing techniques with a focus on leveraging OpenCV for tasks such as resizing, feature extraction, and other pre-processing steps essential for document image analysis and understanding.

Hands on experience in Java, SprintBoot, Spring/JPA and Hibernate/MyBatis ORM frameworks, JBoss/Fuse Camel/AMQ is a plus.

Experience with developing solutions with AWS Services, i.e. ECS, Lamda, S3, SQS, SNS, ELB, ALB, Aurora RDS.

Excellent problem-solving skills and ability to work independently.

Strong communication skills and ability to collaborate with cross-functional teams.

Self-starter, who enjoys moving at a fast pace with little supervision.

AWS certifications are a plus

Must be able to obtain a Public Trust

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.