Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailNLP (Natural Language Processing)
Generative AI & Large Language Models (LLM)
Python Skills
Educational Qualifications: Graduate or Doctorate degree in information technology Neuroscience Business Informatics Biomedical Engineering Computer Science Artificial Intelligence or a related field. Specialization in Natural Language Processing is preferred.
Experience Requirements: 810 years of experience in developing Data Science AI and ML solutions with a specific focus on generative AI and LLMs in the MedTech/Healthcare/Life Sciences domain.
Prior experience in identifying new opportunities to optimize the business through analytics AI/ML and use case prioritization.
The individual should be a thought leader having a wellbalanced analytical business acumen domain and technical expertise.
Large Language Model Expertise: Experience in working with and finetuning Large Language Models (LLMs) including the design optimization of NLP systems frameworks and tools.
Application Development with LLMs: Experience in building scalable applications using LLMs utilizing frameworks such as LangChain LlamaIndex etc and productionizing machine learning and AI models.
Language Model Development: Utilize offtheshelf LLM services such as Azure OpenAI to integrate LLM capabilities into applications.
Cloud Computing Expertise: Proven architect kind of experience in cloud computing particularly with Azure Cloud Services.
Technical Proficiency: Strong skills in UNIX/Linux environments and commandline tools.
Programming and ML Skills: Proficiency in Python with a deep understanding of machine learning algorithms deep learning and generative models.
Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g. TensorFlow PyTorch) handson experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes and proficiency in testing of developed AI components.
Responsibilities also include data analysis/preprocessing for training and finetuning language models.
Full Time