Machine Learning Associate Advisor

• 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.

Required 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.

Desired Experience:

• Exposure to Gen AI and Cloud systems like AWS.