Senior AI Engineer

5 days ago

Islamabad, Islamabad, Pakistan beBeeEngineer Full time 1,200,000 - 1,500,000
AI Visionary

We are seeking an experienced AI Engineer with a strong background in Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to join our innovative team.

About the Role:

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.

Main Responsibilities:

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

Requirements:

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

Nice to have skills:

  • A strong plus if you have worked on deploying ML models on mobile platforms.
  • Experience working with machine learning models on mobile devices.
  • Exposure to MLOps pipelines and tools (e.g., MLflow, Weights & Biases).
  • Contributions to open-source projects or technical blogs.

What to expect from the application process?

All applications will be reviewed by the People team who will reach out to shortlisted candidates. You'll speak with the hiring manager and other functional heads across various interview rounds. The process may also involve an assessment or presentation relevant to the role. An offer will be made after three rounds of interviews.

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