Strong proficiency in Python for data manipulation, analysis, and model development.
Hands-on experience in machine learning, statistical analysis, and AI methodologies.
Proficiency in relevant libraries and frameworks such as TensorFlow, Keras, PyTorch, scikit-learn, etc.
Solid understanding of data structures, algorithms, and database systems.
Familiarity with Java and its application in data processing (considered a strong asset).
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
4 years’ experience working on machine learning projects, with a proven track record of developing and deploying ML models.
Strong communication skills with the ability to explain complex concepts to diverse audiences.
Research, develop, train, and validate machine learning models and algorithms with a focus in NLP and LLM applications.
Work closely with the research team to help identify new applications and use-cases of existing technologies.
Stay up to date with the latest academic and industry research to identify and implement state of the art technologies.
Lead the development and implementation of advanced machine learning techniques to enhance the capabilities of our AI agents.
Collaborate with cross-functional teams to integrate machine learning solutions into our autonomous agent software, ensuring seamless functionality and performance.
Conduct thorough analysis and interpretation of complex data sets to extract meaningful insights and contribute to data-driven decision-making processes.