[CDI] Generative AI Data Scientist

Job Description

We are seeking a highly skilled Generative AI Data Scientist to join our team. The ideal candidate will have a strong background in both machine learning and deep learning techniques, as well as experience in generative modeling. The candidate will be responsible for designing, implementing, and optiizing generative models for a variety of applications, including natural language processing, computer vision, and audio processing. The candidate will also be responsible for analyzing and interpreting large datasets and communicating findings to both technical and non-technical stakeholders.
Key Responsibilities:
Design, implement, and optimize generative models using machine learning and deep learning techniques.
Apply generative models to a variety of applications, including natural language processing, computer vision, and audio processing.
Analyze and interpret large datasets using statistical and machine learning technique.
Communicate findings to technical and non-technical stakeholders.
Collaborate with cross-functional teams to identify new opportunities for generative modeling.

Qualifications

Master's or PhD in Computer Science, Mathematics, Statistics, or related field.
0 to 2 years of experience in related field.
Strong background in machine learning and deep learning techniques.
Understanding of key concepts in the foundation models literature.
Experience in using/implementing/training/fine-tuning/optimizing foundation models or generative models.
Proficiency in programming languages such as Python or R.
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.
Preferred Qualifications:
Experience with natural language processing, computer vision, or audio processing generative models (including LLM, Diffusion models, GANs, VAEs..).
Experience with distributed computing frameworks such as Hadoop or Spark.
Experience with cloud computing platforms such as AWS or Azure.