Responsibilities:

Analyze and interpret complex data to provide actionable insights.

Develop and implement machine learning models and algorithms.
Collaborate with cross-functional teams to understand business requirements and deliver data driven solutions.

Conduct experiments analyze results and iterate on models to improve performance.

Communicate findings and recommendations to stakeholders.

Stay current with advancements in data science and machine learning technologies.

Skills:

Proficiency in programming languages such as Python R and SQL.

Experience with machine learning frameworks and libraries such as TensorFlow PyTorch or scikit-learn.

Experience with LLMs and orchestration Frameworks such as LangChain LangGraph etc.

Esperience in ...