Deep Learning Engineer

About the role

Translation Empire PK is looking for a Deep Learning Engineer to design, develop and deploy cutting‑edge deep learning models for image, text and signal data. You will work on challenging problems where traditional machine‑learning approaches fall short, collaborating closely with engineering teams to bring AI solutions into production.

Key responsibilities

• Design and optimise deep learning architectures tailored to project requirements.
• Fine‑tune large language models (LLMs) or convolutional neural networks (CNNs) for specific tasks.
• Address overfitting, data imbalance and model bias to improve performance.
• Evaluate and monitor deep learning models in production environments.
• Share best practices and knowledge with cross‑functional engineering teams.

Required profile

• Master’s or PhD in Artificial Intelligence, Deep Learning or a related field.
• At least 3 years of hands‑on deep learning experience.
• Strong knowledge of deep‑learning frameworks such as TensorFlow and PyTorch.
• Experience with transfer learning, generative adversarial networks (GANs) and transformer models.
• Preferred certifications in AI or machine‑learning.

Required skills

• TensorFlow
• PyTorch
• Large Language Models (LLMs)
• Convolutional Neural Networks (CNNs)
• Generative Adversarial Networks (GANs)
• Transformer architectures
• Transfer learning

What we offer

• Market‑competitive salary.
• Opportunity to work on state‑of‑the‑art AI projects.
• Collaborative and innovative engineering environment.