Responsibilities

• Download, clean and organize datasets
  

• Implement deep learning models as per given specifications
  

• Read and present latest papers on deep learning architectures
  

• Setup deep learning foundation models for biological applications
  

• Implement data models as per given specifications
  

• Implement various visualization methods for large scale data
  

• 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

Required Qualifications and Skills:

• ph.D/Mtech in Computer science, AI/ML, Mathematics/Statistics
  

• 0 – 3 years of 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
  

• probability theory
  

• correlation metrics
  

• Bayesian probability
  

• Statistical regression methods
  

• Proficiency in Python, C, C++
  

• Expertise in AI frameworks: PyTorch, TensorFlow
  

• Expertise in packages like matplotlib, pandas, seaborn
  

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

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

• Excellent oral and written communication skills