Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks, to build transformative solutions.
Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions.
Build solutions that align with responsible AI practices.
Work with both open-source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions
Optimize existing generative AI models for improved performance, scalability, and efficiency.
Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Qualifications:
Experience working with recommendation engines, data pipelines, or distributed machine learning.
Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
6 years of experience in a technical leadership role leading project teams and setting technical direction.
3+ years of experience in research with sequential modelling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning.
Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
Strong knowledge of data structures, algorithms, and software engineering principles.
Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.
Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
