Senior Deep Learning Engineer(Generative LLM NLP)

A Senior Deep Learning Engineer specializing in Generative Learning Models (Generative/LLM/NLP) plays a critical role in developing and implementing cutting-edge deep learning algorithms. They are responsible for designing and training generative models using natural language processing techniques to create new content or mimic existing content. These engineers work closely with cross-functional teams to enhance existing models, automate processes, and leverage deep learning techniques to solve complex problems.

Responsibilities

• Design and develop deep learning algorithms for generative modeling.
• Train and fine-tune generative models using natural language processing techniques.
• Collaborate with researchers and software engineers to create innovative solutions.
• Enhance existing generative models by incorporating state-of-the-art techniques.
• Implement scalable and efficient deep learning architectures.
• Evaluate and benchmark different generative models.
• Optimize deep learning models for performance and efficiency.
• Debug and troubleshoot issues related to model training and deployment.
• Stay updated with the latest research in deep generative models and natural language processing.
• Mentor junior team members and provide technical guidance.

• Master's or Ph.D. in computer science, machine learning, or a related field.
• Solid understanding of deep learning techniques and architectures.
• Experience in developing generative models, particularly in natural language processing.
• Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong problem-solving and analytical skills.