AI Researcher

2 weeks ago

Islamabad, Islamabad, Pakistan PackageX Full time

About PackageX

PackageX is a logistics infrastructure company that aims to revolutionize the movement of physical things. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.

We're a fast-growing startup with a distributed global team. Our vision is to build the most advanced logistics infrastructure company that becomes the defining backbone of the digital supply chain.

The ideal candidate is someone who stays up to date with the rapidly evolving ML ecosystem, has hands-on experience solving real-world problems, and can take ownership of end-to-end ML solutions — from research to deployment.

Key Responsibilities:

  1. Design, build, and deploy machine learning models, particularly in the areas of computer vision and NLP.
  2. Develop and fine-tune large language models (LLMs) for specialized use cases.
  3. Translate business and product challenges into ML solutions.
  4. Collaborate closely with product, design, and engineering teams to integrate ML models into real-world applications.
  5. Research and implement state-of-the-art techniques while staying ahead of emerging trends in ML and AI.
  6. Optimize ML models for deployment on mobile and edge devices (Android/iOS).
  7. Analyze and improve model performance through rigorous testing and evaluation.

Required Skills & Qualifications:

  1. 5+ years of hands-on experience in machine learning.
  2. Strong foundation in Computer Vision (e.g., image classification, object detection, OCR) and NLP (e.g., transformers, text generation, embeddings).
  3. Experience working with Large Language Models (OpenAI, Hugging Face, LLaMA, etc.).
  4. Solid understanding of ML frameworks such as TensorFlow, PyTorch, or JAX.
  5. Experience deploying ML models in production environments.
  6. Proven track record of solving real-world business or technical problems using machine learning.
  7. Familiarity with optimizing ML models for mobile and edge devices is a strong plus.
  8. Proficient in Python and ML tooling (e.g., NumPy, Pandas, scikit-learn, Hugging Face, OpenCV).

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