Job Title: Machine Learning Engineer

Company Name: Transflo

Job Url: https://www.linkedin.com/jobs/view/4376802659/?eBP=BUDGET_EXHAUSTED_JOB&trk=flagship3_search_srp_jobs&refId=V%2BAJtrR%2FWWsKbDR3%2F7P2rA%3D%3D&trackingId=fa36B9S6oanG1MDlcbOjJA%3D%3D

Job Description: 
Machine Learning Engineer 

Transflo • United States (Remote)



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Transflo


Machine Learning Engineer 

United States · 2 hours ago · Over 100 applicants

Promoted by hirer · Company review time is typically 1 week


Remote

Full-time
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About the job
Role Overview:

We are seeking an experienced Machine Learning Engineer specializing in AWS Bedrock, MLflow, and advanced prompt engineering methodologies to lead the development of state-of-the-art MultiModal Document Identification and Extraction solutions. In this role, you will design and fine-tune foundation models (FMs), implement Generative AI (GenAI) strategies, and leverage advanced prompt engineering techniques for accurate and efficient multimodal document processing.



Job Responsibilities:

· Design, develop, and deploy scalable machine learning models using AWS Bedrock and SageMaker.

· Implement and optimize multimodal machine learning pipelines for document identification and extraction.

· Develop and refine advanced prompt engineering strategies, including hierarchical prompting, context-aware prompts, and multi-turn dialogue techniques, to enhance the performance of foundation models.

· Manage the end-to-end ML lifecycle, including experiment tracking, model versioning, and deployment using MLflow.

· Ensure robust MLOps practices, including CI/CD pipelines, model monitoring, and automated retraining workflows.

· Optimize model inference performance and cost-effectiveness using AWS Elastic Inference and SageMaker optimization techniques.

· Integrate AWS Textract and Rekognition for enhanced OCR and image processing within ML workflows.

· Collaborate with cross-functional teams, including data scientists, cloud engineers, and business stakeholders, to align AI models with business objectives.

· Monitor, debug, and enhance machine learning workflows for improved reliability and efficiency.

· Stay updated on the latest advancements in AI, multimodal machine learning, and AWS technologies, and apply them to real-world problems.



Qualifications and Experience:

· Extensive experience with AWS Bedrock for deploying and fine-tuning foundation models (FMs) for multimodal applications.

· Proficiency in Amazon SageMaker for training complex ML models, hyperparameter tuning, and scalable deployment.

· Hands-on experience with MLflow in AWS for experiment tracking, model versioning, and end-to-end ML lifecycle management.

· Experience with AWS Lambda, API Gateway, and Step Functions for building serverless AI pipelines.

· Familiarity with AWS Textract and Amazon Rekognition for document extraction and image recognition tasks.

· Proficient in the utilization of Textual Models for Image Classification or other Open Source Image Classification tools.

· Proficiency in AWS Deep Learning AMIs for rapid ML environment setup.

· Experience with Amazon Elastic Inference for cost-effective inference acceleration

· Image-Text Alignment Prompts – Creating prompts that effectively link textual and visual data for accurate information extraction.

· Hierarchical Prompting – Designing prompts for complex document structures with nested elements.

· Context-Aware Prompting – Developing prompts that adapt to the semantic context of documents.

· Visual Layout-Aware Prompting – Crafting prompts that leverage document layout information for precise entity recognition.

· Few-shot and Zero-shot Prompting – Utilizing examples to improve multimodal model performance with minimal labeled data.

· Multi-turn Dialogue Prompting – Implementing iterative prompts for complex document extraction scenarios.

· Cross-Attention Prompts – Optimizing attention mechanisms for aligning visual and textual features.



Individual Qualities:

· Results oriented

· Independently reliable; performs tasks without close supervision

· Persistent Learner showing a desire to be on the edge of new AI methodologies as it may relate to current business opportunities.

· Organized; detail-oriented, methodical and consistently demonstrates ability to successfully and timely complete assignments.

· Follows-Up; consistently performs this in a positive, proactive manner

· Logical problem-solving skills

· Quality conscious; consistently demonstrates commitment to customers & quality

· Demonstrates timeliness & urgency

· Team work; individual contributor that works well with other team members and consistently promotes a strong team environment work ethic

· Goal setting; sets/achieves goals and consistently demonstrates a willingness/dedication to process improvement

· Responsible; takes responsibility for personal actions and consistently demonstrates a willingness to accept greater project responsibilities

· Professionally candid communications

· Focused on key success factors

· Professional attitude; consistently demonstrates ability to accept criticism and manage the conversation appropriately

· Street smart; can apply knowledge and life experiences in business

· Positive attitude

· Flexible & adaptable

· Resourceful