Design, implement, and evaluate large-scale language models and generative AI systems for various domains and applications.
Research and apply the latest advances in natural language processing, deep learning, and generative AI.
Collaborate with other machine learning engineers, data scientists, and domain experts to understand the requirements and challenges of natural language processing and generation tasks.
Optimize the performance, scalability, and reliability of language, vision models, and generative AI systems.
Communicate the results and insights of machine learning experiments and projects to stakeholders and clients.
Requirements & Skills:
Master’s degree or PhD in computer science, machine learning, natural language processing, or related fields.
Strong experience in developing and deploying large-scale language models and generative AI systems using frameworks such as TensorFlow, PyTorch, Hugging Face, or OpenAI.
Proficient in Python and other programming languages for data analysis and machine learning.
Familiar with state-of-the-art natural language processing and generation techniques, such as transformers, GPT, BERT, T5, etc.
Excellent problem-solving, analytical, and communication skills.
Passionate about natural language processing, generative AI, and creating impactful solutions.
