Вакансія Generative AI Developer

Skills

• Python
• Java
• C++
• TensorFlow
• PyTorch
• scikit-learn
• GCP
• NLP
• GAN
• VAE
• Generative AI

Опис вакансії

We are seeking a talented and experienced Generative AI Developer to join our innovative team. The ideal candidate will have deep expertise in generative AI models, frameworks, and techniques, with the ability to develop cutting-edge solutions. This role requires a proven ability to work in cloud computing environments, deploying and managing machine learning models effectively.

Key Responsibilities:

• Design and implement generative AI models using advanced techniques and methodologies.
• Collaborate with cross-functional teams to establish project objectives, gather requirements, and deliver innovative AI-driven solutions.
• Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization strategies.
• Stay current with developments in generative AI, deep learning, and related technologies, integrating the latest advancements into ongoing projects.
• Create and maintain comprehensive documentation of generative AI models, workflows, and results.
• Effectively communicate technical concepts and findings to both technical and non-technical audiences.
• Mentor team members, fostering collaboration and contributing to a positive work environment.

Qualifications:

• Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field.
• Experience in generative AI development.
• Proficiency in programming languages such as Python, Java, or C++.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proven experience working with cloud computing platforms, especially Google Cloud Platform (GCP).
• Strong communication and problem-solving abilities.
• Capability to work independently as well as collaboratively within a team.

Must-Have Skills:

• Programming Expertise: Python, Java, or C++
• Machine Learning Frameworks: TensorFlow, PyTorch, scikit-learn
• Cloud Platforms: Google Cloud Platform (GCP)
• Generative AI Techniques:
  • Natural Language Processing (NLP)
  • Generative Adversarial Networks (GANs)
  • Variational Autoencoders (VAEs)
  • Diffusion Models
• Data Visualization: Ability to present complex results effectively