Responsibilities:
- Collaborate with crossfunctional teams to design develop and implement AI models tailored to business needs.
- Internalize and integrate external AI programs and ensuring compatibility with our systems.
- Utilize Python/PyTorch/TensorFlow and other programming languages for developing and refining deep learning models.
- Research and implement large language models (LLMs) and contribute to their adaptation in Real World Data analysis.
- Implement and apply Bayesian modelling techniques in multimodal data analysis.
- Support troubleshooting optimization and potential updates of AI models to improve performance.
Requirements:
- PhD in Computational Science Computer Science Data Science or a related field (fresh graduates are welcome).
- Masters degree also acceptable with 5 years of experience but prefer PhD.
- Proficiency in Python programming with demonstrable experience in PyTorch or TensorFlow.
- Understanding of large language models and applied experience in deploying AI/ML solutions.
- Familiarity with Bayesian modelling and its application within AI frameworks is an advantage.
- Strong problemsolving abilities and analytical skills.
- Experience working at the intersection of AI and biology with a focus on applying AI methodologies to biological data and research.
- Experience in image analysis using deep learning techniques.
- Experience in cloud computing environments.
- Exposure to other programming languages or AI frameworks (e.g. BERT LLAMA).
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract