Lead Developer - Generative AI

Lead The Development Of Generative AI Models

• Design and implement advanced generative models (e.g., GPT, GANs, VAEs) for various applications such as content generation, data augmentation, and more.
  

Project Management

• Oversee AI projects from conception to deployment, ensuring timely delivery and alignment with business objectives.
  

Collaborate With Cross-Functional Teams

• Work closely with product managers, designers, and other developers to integrate AI functionalities into products.
  

Research And Innovation

• Stay updated on the latest advancements in AI and machine learning, and incorporate relevant findings into ongoing projects.
  

Mentorship And Team Leadership

• Mentor junior developers and data scientists, fostering a collaborative and innovative team environment.
  

Deploy And Scale AI Solutions

• Optimize models for performance and scalability, and deploy them in production environments.
  

Ensure Ethical AI Practices

• Implement AI solutions responsibly, considering ethical implications and ensuring compliance with relevant :
  

Educational Background

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  

Experience

• Minimum of 5 years of experience in AI/ML development, with at least 2 years focused on generative models.
  

Technical Skills

• Proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
• Strong understanding of machine learning algorithms and deep learning architectures.
• Experience with NLP models (e.g., GPT, BERT) and/or generative models like GANs and VAEs.
  

Project Leadership

• Proven ability to lead complex projects and teams, delivering results on time and within scope.
  

Problem-Solving Skills

• Strong analytical skills with the ability to translate business requirements into technical solutions.
  

Communication Skills

• Excellent verbal and written communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
  

Ethical Awareness

• Understanding of the ethical considerations in AI development, including bias mitigation and data to Have :
• Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of data engineering and experience working with large datasets.
• Publications or contributions to the AI community