Advanced Model Developer

21 hours ago


Islamabad, Islamabad, Pakistan beBeeDeepLearning Full time

We are seeking a Specialist to focus on designing and deploying advanced models for image, text, or signal data.

Key Responsibilities:

  • Design and optimize architectures.
  • Fine-tune LLMs or CNNs based on project needs.
  • Address overfitting, data imbalance, and model bias issues.
  • Evaluate models in production environments.
  • Share best practices with teams.

Requirements

Qualification and Experience:

  • Master's or PhD in AI, Deep Learning, or related field.
  • 3+ years of deep learning experience.
  • Strong grasp of DL frameworks (TensorFlow, PyTorch).
  • Experience in transfer learning, GANs, transformers.

Certification: Preferred. Work Mode: Office-based. Location: Rawalpindi. Salary: Market Competitive.

Job Description:

The ideal candidate will have a strong background in deep learning, excellent problem-solving skills, and the ability to work effectively in a team environment.

Responsibilities:

  • Design and develop advanced deep learning models for various applications.
  • Collaborate with cross-functional teams to integrate models into production environments.
  • Conduct thorough analysis of model performance and provide recommendations for improvement.
  • Develop and maintain high-quality documentation for all models and processes.

Requirements:

  • Master's or PhD degree in Computer Science, Engineering, or related field.
  • Minimum 3 years of experience in deep learning development.
  • Excellent knowledge of TensorFlow, PyTorch, and other popular DL frameworks.
  • Proven track record of developing and deploying successful deep learning models.

Preferred Qualifications:

  • Experience with transfer learning, GANs, and transformers.
  • Strong understanding of computer vision and natural language processing concepts.
  • Ability to work effectively in a fast-paced environment and adapt to changing priorities.

What We Offer:

  • A competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and dynamic work environment.

How to Apply:

If you are a motivated and experienced deep learning specialist looking for a new challenge, please submit your resume and cover letter.


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