Full Stack AI/ML Engineer

My Custom AI

United States

On-site

USD 100,000 - 720,000

Full time

14 days+

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Job summary

A leading technology company is seeking a Machine Learning Engineer to develop and maintain full-stack web applications with integrated AI capabilities. The role involves designing AI-powered features, collaborating with cross-functional teams, and optimizing CI/CD pipelines for deployment. Ideal candidates will have a comprehensive understanding of full-stack development and AI integration.

Qualifications

  • Comprehensive experience in full-stack development.
  • Solid understanding of AI and machine learning.
  • Experience with cloud platforms and containerization.

Responsibilities

  • Develop and maintain full-stack web applications with AI capabilities.
  • Design and implement AI-powered features.
  • Collaborate with teams to implement innovative AI-driven features.

Skills

Full-stack development experience
AI service integration
Understanding of machine learning concepts
Developing scalable web applications
Cloud platforms experience
Problem-solving skills

Job description

  • Develop and maintain full-stack web applications with integrated AI capabilities, working across frontend, backend, and AI service layers.
  • Design and implement AI-powered features, including intelligent data processing and interactive AI components.
  • Create and integrate solutions to enhance AI model interactions.
  • Develop and maintain APIs that connect frontend applications with AI services and backend systems.
  • Collaborate with cross-functional teams to design, prototype, and implement innovative AI-driven product features.
  • Set up and optimize CI/CD pipelines for AI model deployment and application updates.

Required Skills:

  • Comprehensive full-stack development experience with proficiency in both frontend and backend technologies
  • Experience with AI service integration and calling AI APIs
  • Solid understanding of machine learning concepts and AI model architectures
  • Proficiency in developing scalable web applications
  • Experience with cloud platforms and containerization technologies
  • Excellent problem-solving skills and ability to work in collaborative team environments

Preferred Qualifications:

  • Experience with diffusion models and large language models (LLMs)
  • Background in experimenting with AI models in Jupyter notebooks
  • Knowledge of prompt engineering techniques
  • Familiarity with DevOps practices
  • Understanding of AI model fine-tuning and optimization
  • Experience with synthetic data generation
Seniority level
  • Seniority level
    Entry level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Technology, Information and Internet

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