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Generative AI Engineer


SecureGen


Location

Delhi | India


Job description

Company Description

SecureGen is focused on enabling secure computational platform as a service for management of regulatory-compliant data, analysis, and tools supporting drug development. We help accelerate innovation by offering a secure, flexible platform that empowers researchers to focus on what they do best: finding the next breakthrough drug.

Role Description

This is a full-time remote role for a Generative AI Engineer. The Generative AI Engineer will be responsible for developing the generative models used to generate chemical compounds and improve drug design. Day-to-day tasks include designing and implementing generative models, developing algorithms to optimize performance, analyzing and interpreting results, and collaborating with cross-functional teams to ensure the generated compounds meet regulatory requirements.

Qualifications
  • Strong background in machine learning or data science
  • Familiarity with generative modeling techniques and deep learning frameworks, such as Tensorflow or PyTorch
  • Experience with Python programming and data manipulation libraries, such as Pandas and Numpy
  • Knowledge of chemistry, chemical compound databases, and drug discovery preferred
  • Ability to work independently and remotely
  • Excellent problem-solving skills and ability to analyze and interpret complex data
  • Strong written and verbal communication skills, with the ability to collaborate with cross-functional teams
  • Ph.D. or Master's degree in Computer Science, Computational Chemistry, or related field preferred


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