AI Research Scientist

7 hours ago

Tiruppur, Tamil Nadu, India beBeeDataAnalyst Full time ₹ 15,00,000 - ₹ 25,00,000
Data Analyst and Machine Learning Engineer

We are seeking a skilled Data Analyst and Machine Learning Engineer to develop and implement data-driven solutions.

As a key member of our interdisciplinary team, you will leverage your expertise in data analysis, machine learning, and software engineering to drive business growth and innovation.

  • Key Responsibilities:
  • • Develop and deploy advanced machine learning models to optimize chemical formulations.
  • • Collaborate with cross-functional teams to integrate data analytics and AI/ML methodologies into our products.
  • • Analyze large datasets from chemistry data and R&D experiments to uncover patterns, trends, and optimization opportunities.
  • • Develop and validate statistical and machine learning models to improve prediction accuracy and reliability.
  • • Improve the computational efficiency and scalability of existing models to handle diverse customer needs.
  • • Drive efficient use of computational and cloud resources, minimizing redundancy and controlling operational expenses.

Qualifications:

  • Education:
  • • Bachelor's or Master's in Computer Science, Data Science, Cheminformatics, or Computational Chemistry.
  • • Course Certificates in Data Science.
  • Experience:
  • • 6+ years of total experience, 3+ relevant drug discovery experience with demonstrated impactful contributions to small-molecule programs.
  • • 4+ years of experience in data modeling, computational analysis, or similar roles, preferably in manufacturing, R&D, or chemical industries.

Technical Skills:

  • Mandatory: Programming experience in Python (preferred), R, or similar languages.
  • Mandatory: Hands-on experience with AI/ML tools like TensorFlow, PyTorch, or sci-kit-learn.
  • Mandatory: Expertise in cheminformatics data analysis and large-scale data handling.
  • Desired: Familiarity with cloud platforms (AWS, Azure, or GCP) for large-scale computations.
  • Experience with databases (SQL/NoSQL) and data visualization tools.

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