Data Analysis and Processing: Utilize Python, SQL, and Data Science tools like Pandas, NumPy, and Matplotlib to analyze and process large datasets.
Model Development: Assist in developing and implementing machine learning models to solve specific business problems.
Collaboration: Work closely with senior data scientists and AI experts to understand project requirements and deliver solutions.
Research and Innovation: Stay updated with the latest advancements in AI and machine learning and contribute innovative ideas to ongoing projects.
Documentation: Document processes, models, and results to ensure clarity and reproducibility of work.
Support: Provide support in integrating AI models into production environments and troubleshooting any issues that arise.
Good Communication: Effectively communicate with team members to ensure smooth project execution and report findings clearly.
LLM Integration with Python: Work on integrating Large Language Models (LLMs) using tools such as Lang chain and OpenAI API within Python-based applications.
Qualification & Experience
Python: Proficiency in Python programming for data analysis and machine learning.
SQL: Strong knowledge of SQL for database management and data extraction.
Data Science Tools: Experience with data science libraries such as Pandas, NumPy, and Matplotlib.
Analytical Skills: Ability to analyze and interpret complex datasets.
Communication Skills: Effective communication skills to collaborate with team members and present findings.