Data Science Specialist

3 days ago

Bengaluru, Karnataka, India HYI Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Job Description:

We are looking for an experienced Data Science Specialist with a strong background in Cheminformatics and hands-on experience in designing and developing AI models. The ideal candidate will have a solid understanding of data science principles and domain-specific knowledge in cheminformatics, particularly in 
CADD and AIDD

Responsibilities:

  • Design and develop AI models with a strong understanding of non-functional requirements.

  • Implement robust and scalable AI solutions in the following areas:

  • Model Development: Develop and fine-tune generative AI models for various applications, ensuring efficiency and high-quality outputs.

  • Data Processing: Design and manage data pipelines for training and deploying AI models, including data collection, cleaning, and preprocessing.
  • Algorithm Optimization: Analyze and optimize AI algorithms for performance, including tasks like hyperparameter tuning, model compression, and implementing advanced optimization techniques.
  • Prompt Engineering: Design and optimize prompts for generative AI models to improve performance and output quality, experimenting with different prompt structures and techniques.

  • Security Measures: Implement security measures to protect sensitive data and AI models, including data encryption, access control, and ensuring compliance with data privacy regulations.

  • CADD and AI-driven Drug Discovery:

  • Utilize CADD techniques such as molecular docking, virtual screening, and quantitative structure-activity relationship (QSAR) modelling. Apply AI-driven approaches for target identification, hit identification, ADMET prediction, lead optimization, and drug repositioning

  • Maintain and improve existing AI models and pipelines.
  • Collaborate with cross-functional teams to define, design, and deploy new AI features using Azure DevOps for CI/CD pipeline.
  • Write unit tests and use debugging tools to ensure the robustness and reliability of AI models.
  • Work on bug fixing and improving AI model performance.

Qualifications:

  • 5-7 years of experience in data science and AI, with a minimum of 5 end-to-end AI projects delivered.

  • Hands-on experience with data science tools like Jupyter, Spyder, Visual Studio Code, and PyCharm.

  • Experience with Generative AI models and techniques such as GANs, VAEs, and transformers.

  • Experience with relational databases like Microsoft SQL Server and NoSQL databases.

  • Experience with version control tools like Git.

  • Strong problem-solving skills, algorithmic skills, and data structures.

  • Experience in Agile methodologies using Azure DevOps is a plus.

  • Proficiency in CADD techniques and AI-driven discovery methods

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