AI Consultant

Key Responsibilities:

Data Engineering & Processing:

• Develop and maintain data processing pipelines using Python.
• Handle large-scale data processing using tools such as Pandas, NumPy, and PySpark.

AI & GenAI Development:

• Build and deploy Generative AI applications using APIs and frameworks such as Semantic Kernel and LangChain.
• Assist in developing and maintaining language model evaluations and AI-based applications.

Data Analysis & Visualization:

• Perform data analysis and generate insights using statistical and machine learning techniques.
• Create visualizations using tools like Matplotlib and Seaborn.

Collaboration & Delivery:

• Work with cross-functional teams to understand business requirements and implement AI solutions.
• Write clean, well-documented, and testable code following best practices.
• Monitor application performance and continuously optimize solutions.