Blue Coding

Senior AI / ML Engineer

Blue Coding

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

About the role

  • Design, build, and deploy machine learning models in production environments
  • Develop classification systems to automatically categorize educational content by subject, grade level, and learning standards
  • Build and maintain computer vision pipelines (e.g., object detection, OCR, image segmentation) for worksheet and student-submission analysis
  • Design and implement RAG (Retrieval-Augmented Generation) systems using large content libraries
  • Engineer and optimize prompts for AI-generated educational content and assessment validation
  • Build AI-driven quality assurance systems to evaluate generated content against educational taxonomies
  • Develop agentic AI workflows that iteratively refine and improve generated outputs
  • Deploy and operate AI services on AWS, ensuring scalability, reliability, and cost efficiency
  • Collaborate directly with client stakeholders and cross-functional engineering teams
  • Define and, when required, contribute to data labeling or feedback strategies supporting model quality
  • Maintain clear documentation for models, pipelines, and AI system behavior
  • Participate in code reviews and promote AI engineering best practices

Requirements

  • 5+ years of professional experience building ML systems in production
  • Strong Python programming skills
  • Experience with at least one major ML framework (PyTorch, TensorFlow, or scikit-learn)
  • Proven experience deploying, monitoring, and iterating on AI models in real-world systems.
  • Strong modeling experience with AI/ML solutions.
  • Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic Claude) in production
  • Solid understanding of ML fundamentals: supervised and unsupervised learning, training, and evaluation metrics
  • Experience working with AWS for AI/ML workloads
  • Ability to work independently and take on initiatives end-to-end
  • Strong communication skills and experience collaborating directly with senior stakeholders
Benefits
  • Salary in USD
  • Flexible schedule (aligned with US time zones)
  • 100% remote work
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningPythonPyTorchTensorFlowscikit-learncomputer visionobject detectionOCRimage segmentationLLM APIs
Soft Skills
communicationcollaborationindependenceinitiative