Hiring Python Programmer - Applied AI Engineer || Bangalore

Responsibilities:

• Understand AI model cards and seamlessly integrate them into our pipeline for generative AI experiments.
• Work with text data, perform data transformations, parse semi structured content, and generate synthetic training data to support AI model training.
• High working knowledge of advanced Python concepts such as higher-order functions, decorators, generators, and context managers in the development of robust and scalable code.
• Write programs for error analysis, visualise output for both language and visual content, and create informative plots to enhance understanding and decision-making.
• Build interactive demos using Streamlit and FastAPI frameworks to showcase the capabilities of generative AI solutions.
• Apply ML concepts for training data preparation, evaluate machine learning model performance, and implement techniques to enhance model efficiency.
• Utilise pre-trained models and build downstream applications, incorporating them into our generative AI solutions.
• Comfortably work with multiple generative AI backends and seamlessly integrate them into prototypes and demos.

Requirements:

• Bachelor's or higher degree in Computer Science, Artificial Intelligence, or a related field.
• Proven experience in Python programming with a focus on machine learning, NLP and
• Strong understanding of AI model cards and the ability to integrate them into a larger AI pipeline.
• Proficiency in handling text data, performing transformations, parsing semi structured content, and generating synthetic training data.
• Expertise in advanced Python concepts, including higher-order functions, decorators, generators, and context managers.
• Demonstrated ability to conduct error analysis, visualise output, and generate plots for language and visual content.
• Hands-on experience with building demos using Streamlit and FastAPI frameworks.
• Familiarity with essential ML concepts for training data preparation and evaluating model performance.
• Experience working with pre-trained models and building downstream applications.
• Ability to work collaboratively in a dynamic and fast-paced environment.
• Strong problem-solving skills and a passion for staying up-to-date with the latest advancements in AI and machine learning.