Gen AI

Job Description: As a member of the team, you will be responsible for developing and implementing Generative AI solutions using LLMs such as GPT and open-source models. Your role will involve working on prompt engineering to enhance model outputs and accuracy. Additionally, you will be tasked with building simple AI-powered applications like chatbots, assistants, and automation tools. Integration of AI models using APIs from platforms like OpenAI, Azure OpenAI, and Hugging Face will be a key part of your responsibilities. Preprocessing and managing text and unstructured data will also be within your scope, along with assisting in constructing end-to-end pipelines for GenAI applications. Monitoring and evaluating model performance metrics such as accuracy, latency, and cost will be essential tasks. Collaboration with data engineers and software developers on various AI use cases will also be part of your daily activities. It is vital for you to stay updated with the latest advancements in AI and LLM ecosystems. Key Responsibilities: - Develop and implement Generative AI solutions using LLMs (e.g., GPT, open-source models) - Work on prompt engineering to improve model outputs and accuracy - Build simple AI-powered applications (chatbots, assistants, automation tools) - Integrate AI models using APIs (OpenAI, Azure OpenAI, Hugging Face, etc.) - Preprocess and manage text and unstructured data - Assist in building end-to-end pipelines for GenAI applications - Evaluate and monitor model performance (accuracy, latency, cost) - Collaborate with data engineers and software developers on AI use cases - Stay up to date with latest advancements in AI and LLM ecosystems Qualifications: - Strong programming skills in Python - Basic understanding of Machine Learning and NLP concepts - Familiarity with Generative AI / LLMs (theoretical or project-based) - Knowledge of REST APIs and JSON - Understanding of data structures and problem-solving - Ability to write clean, modular, and scalable code Job Description: As a member of the team, you will be responsible for developing and implementing Generative AI solutions using LLMs such as GPT and open-source models. Your role will involve working on prompt engineering to enhance model outputs and accuracy. Additionally, you will be tasked with building simple AI-powered applications like chatbots, assistants, and automation tools. Integration of AI models using APIs from platforms like OpenAI, Azure OpenAI, and Hugging Face will be a key part of your responsibilities. Preprocessing and managing text and unstructured data will also be within your scope, along with assisting in constructing end-to-end pipelines for GenAI applications. Monitoring and evaluating model performance metrics such as accuracy, latency, and cost will be essential tasks. Collaboration with data engineers and software developers on various AI use cases will also be part of your daily activities. It is vital for you to stay updated with the latest advancements in AI and LLM ecosystems. Key Responsibilities: - Develop and implement Generative AI solutions using LLMs (e.g., GPT, open-source models) - Work on prompt engineering to improve model outputs and accuracy - Build simple AI-powered applications (chatbots, assistants, automation tools) - Integrate AI models using APIs (OpenAI, Azure OpenAI, Hugging Face, etc.) - Preprocess and manage text and unstructured data - Assist in building end-to-end pipelines for GenAI applications - Evaluate and monitor model performance (accuracy, latency, cost) - Collaborate with data engineers and software developers on AI use cases - Stay up to date with latest advancements in AI and LLM ecosystems Qualifications: - Strong programming skills in Python - Basic understanding of Machine Learning and NLP concepts - Familiarity with Generative AI / LLMs (theoretical or project-based) - Knowledge of REST APIs and JSON - Understanding of data structures and problem-solving - Ability to write clean, modular, and scalable code