Generative AI Engineer

Responsibilities

• Design, develop, and deploy cutting-edge Generative AI models including GANs, VAEs, Diffusion Models, and LLMs
• Optimize and fine-tune large-scale deep learning models for performance and scalability
• Work with transformer-based architectures such as GPT, BERT, T5, and LLaMA
• Develop pipelines for data preprocessing, model training, evaluation, and deployment
• Collaborate with Data Scientists, ML Engineers, and Product Managers to integrate AI capabilities
• Ensure models adhere to ethical AI principles including bias mitigation and fairness
• Maintain technical documentation and research papers

Requirements

• 5+ years of hands-on experience in machine learning, deep learning, or AI development
• Strong expertise in Python and frameworks like TensorFlow, PyTorch, or JAX
• Experience with NLP, computer vision, multimodal AI, and foundation models
• Proficiency in generative AI techniques including diffusion models, GANs, VAEs, and transformers
• Experience deploying models in cloud environments (AWS, GCP, Azure) using MLOps tools
• Knowledge of vector databases, prompt engineering, fine-tuning LLMs, and RAG
• Familiarity with Hugging Face, LangChain, OpenAI, or Stability AI

Preferred Qualifications

• Master’s or PhD in Computer Science, AI, Machine Learning, or Statistics
• Experience with real-time AI applications or personalization engines
• Contributions to open-source AI projects or top-tier AI conference publications
• Experience in reinforcement learning, multi-agent systems, or generative agents

About the Company

Nexthire offers the opportunity to work on cutting-edge AI projects with state-of-the-art models in a collaborative and dynamic work environment.