
Senior AI / ML Engineer
Blue Coding
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
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