Coders Connect is excited to partner with a pioneering company that is transforming international sustainability through AI and machine learning. We are seeking a Lead Data Scientist with expertise in large language models and unstructured data analysis to develop innovative solutions for global sustainability.
What You'll Be Doing:
* Lead and manage data science projects, from defining objectives to delivering actionable insights.
* Apply advanced machine learning, NLP, deep learning, and Generative AI techniques to uncover patterns in unstructured datasets.
* Collaborate with cross-functional teams, including research experts and domain specialists, to build and refine data classification models.
* Fine-tune transformer-based models, especially large language models (LLMs), to solve open-ended challenges.
* Design and implement scalable machine learning models to improve processes and decision-making.
* Handle labeled and unbalanced datasets, ensuring optimal extraction of valuable insights.
* Continuously explore and leverage the latest AI tools and technologies, while ensuring ethical AI use.
* Establish and manage GitHub repositories following best practices for collaborative development.
Requirements:
* Strong communication and leadership skills, with experience collaborating across diverse teams.
* Proven ability to deliver data science solutions using machine learning, NLP, data visualization, and statistical analysis.
* Expertise in Generative AI, LLMs, and model optimization, with experience deploying machine learning models at scale.
* Hands-on experience with Google BigQuery or similar relational databases.
* Knowledge of the ML project lifecycle and familiarity with MLOps best practices.
* Strong background in Python, R, and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
* Experience in analyzing large, complex datasets and building machine learning models.
* Familiarity with evidence synthesis, impact evaluations, or assessment programs.
* Understanding of the MLOps lifecycle and model deployment best practices.
* Experience in applied life sciences or collaborating with scientists is a plus.
Benefits:
* Be part of a dynamic, forward-thinking team pushing the boundaries of AI and machine learning.
* Opportunity to solve real-world problems using cutting-edge technologies.
* Competitive salary and benefits package with a collaborative, inclusive culture.