Gen AI

Job description

Job Description: 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** Required Skills - 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 Responsibilities: 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** Required Skills - 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 Qualifications: 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** Required Skills - 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