Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
About the role
- Machine Learning Model Builder responsible for designing and implementing ML models at Kryptos Technologies. Collaborating with data science to solve business problems and innovate.
Responsibilities
- Develop, implement, and validate machine learning models.
- Analyze large and complex data sets to derive valuable insights.
- Collaborate with cross-functional teams to understand business needs and objectives.
- Continuously monitor, validate, and improve the performance of machine learning models.
Requirements
- 7-10 years of experience in data science and machine learning
- Proficiency in Python, R, or other programming languages used in machine learning
- Strong knowledge of machine learning algorithms and principles
- Experience with data modeling and evaluation
- A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field with a focus on Machine Learning; a Master's degree or Ph.D. is preferred.
- Familiarity with deep learning frameworks such as TensorFlow or Keras.
- Experience with natural language processing.
- Knowledge of cloud platforms like AWS, Google Cloud, or Azure.
- Proficiency in SQL and database management.
- Experience with big data platforms like Hadoop or Spark.
- Familiarity with data visualization tools such as Tableau or PowerBI.
- Understanding of reinforcement learning.
- Knowledge of neural networks.
- Experience with distributed computing.
- Familiarity with software development methodologies like Agile or Scrum.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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