Qureos

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Ai Engineer - Fully Remote - Salary Range ($3k-$5k)

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*** ONLY APPLY IF YOU'RE FROM LAHORE ***


We’re seeking a talented AI Engineer who can take ownership of features and help us build scalable AI-driven systems. In this role, you’ll collaborate with engineering and product teams, influence technical decisions, and contribute to shaping our AI capabilities across the organization.


What You’ll Work On

Core Responsibilities

  • Partner with engineers and product stakeholders to design and implement AI models, algorithms, and end-to-end solutions.
  • Build, evaluate, and optimize AI-powered systems for automation, analytics, and business process improvements.
  • Conduct research on emerging AI technologies, trends, and best practices to guide internal innovation.
  • Work with large and complex datasets to train, validate, and fine-tune machine learning models.
  • Help deploy AI models into production environments, ensuring scalability, performance, and maintainability.
  • Contribute to internal documentation, technical specifications, and knowledge-sharing initiatives.


What You’ll Bring

Required Qualifications

  • 3–5 years of experience in AI, machine learning, or related fields, or strong academic/portfolio experience with impactful ML/AI projects.
  • Solid foundation in algorithms, data structures, statistics, and mathematical fundamentals.
  • Proficiency in Python or similar programming languages commonly used in ML workflows.
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong analytical skills, a problem-solving mindset, and the ability to learn quickly.
  • Comfort working independently and adapting to new technologies and challenges.
  • A genuine passion for AI and its potential to transform products and businesses.
  • Preferred Skills
  • Experience with NLP, Computer Vision, or Reinforcement Learning.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and ML deployment practices.
  • Exposure to MLOps, model lifecycle management, and associated tooling.


What We Offer

  • Fully remote work environment.
  • Flexible hours, you choose your schedule.
  • Competitive compensation in USD.
  • A fast-paced setting with exceptional opportunities for learning and professional growth.

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