Description

You will design, build, and deploy AI applications leveraging large language models and advanced machine learning.

Responsibilities

• Develop, fine-tune, and optimize generative AI models (LLMs, diffusion models, multimodal systems).
• Integrate generative AI into applications and workflows via APIs and scalable architectures.
• Build prototypes and proof-of-concept AI solutions to test new product ideas.
• Translate cross-functional requirements into functional, AI-powered features.
• Optimize model performance for accuracy, efficiency, and cost.

Required Skills

• 10+ years of professional experience.
• Strong programming skills in Python.
• Hands-on experience with LLMs (GPT, LLaMA, Claude, Mistral, etc.) or generative models.
• Knowledge of NLP, deep learning architectures (transformers, diffusion models, RNNs).
• Experience with APIs, cloud platforms (AWS, GCP, Azure), and MLOps.
• Familiarity with prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).
• Experience with vector databases.
• Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field.

Key Skills

Education

Any Graduate