Feathersoft - Artificial Intelligence/Machine Learning Architect (10-17 yrs)

Job Description :

- Help architect, design and implement ThinkBio.Ai AI insight and data platforms; design agentic architecture for the AI platform

- Evaluate and analyze foundation models for protein structure, clinical data, genomic data and small molecule data; fine tune foundation models. Design loss functions relevant to biological applications

- Design scalable data models for multi-modal biological data

- Create a componentized architecture with component level structured APIs

- Design and implement knowledge graphs for biological data; apply deep learning based methods to create representations from knowledge graphs

- Work closely with other team members and partners to identify most critical data centered challenges and address them using cutting-edge computational, statistical and machine learning applications

Requirements :

- Ph.D. in Computer science, AI/ML, Mathematics/Statistics

- 10+ years experience and technical expertise in AI platforms, data platforms, deep learning models

- Solid understanding of computer science fundamentals data structures: trees, directed and undirected graphs, hash tables, heaps algorithms: search, sort, rank, graph based algorithms

- Solid understanding of statistical/mathematical concepts :

a. Probability theory

b. Correlation metrics

c. Bayesian probability

d. Statistical regression methods

- Good understanding of GPU architectures CUDA

- Proficiency in Python, C, C++

- Expertise in AI frameworks: PyTorch, TensorFlow

- Exposure to agentic frameworks like LangChain and LlamaIndex

- Firm grasp of modern statistical methods and machine learning techniques, and their applications to large-scale, data

- Ability to manage projects with minimal supervision, using creative and analytical thinking.

- Ability to drive highly collaborative work across the organization and outside the company

- Excellent oral and written communication skills

Preferred Skills :

- Experience and understanding of how bioinformatics and data science can best be applied to speed up drug discovery

- Basic understanding of biological concepts and a familiarity with drug development process

- Knowledge of bioinformatic tools and databases to analyze genomics and proteomics data.