Skills:
- Experience working with recommendation engines, data pipelines, or distributed machine learning.
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Extensive 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.
Required Experience & Education:
- 8-11 Years of Experience
- Previous experience as Machine Learning Engineer / Prompt Engineer and strong programming skills.
- Experience working within the healthcare industry is desirable.
- Familiarity with healthcare-specific IT systems and industry regulations, such as Electronic Health Record systems and HIPAA, is an added advantage.
