Job Title: Generative AI Engineer

Location: ITPL, Whitefield, Bangalore

Experience: 5+ Years

Job Description:

We are seeking an experienced Generative AI Engineer
to join our team and drive innovation in AI-driven solutions. The ideal candidate will have a robust background in machine learning, deep learning, and generative models, with a proven track record of building and deploying AI systems at scale.

Key Responsibilities:
Design, develop, and deploy cutting-edge Generative AI models (e.g., GANs, VAEs, Diffusion Models, LLMs) for various applications.
Optimize and fine-tune large-scale deep learning models to enhance performance, efficiency, and scalability.
Work with transformer-based architectures (GPT, BERT, T5, LLaMA, etc.) to create state-of-the-art AI solutions.
Develop pipelines for data preprocessing, model training, evaluation, and deployment.
Stay up-to-date with the latest research in generative AI and implement cutting-edge techniques.
Collaborate with cross-functional teams, including Data Scientists, ML Engineers, and Product Managers,



to integrate AI capabilities into products.
Ensure models adhere to ethical AI principles, including bias mitigation, explainability, and fairness.
Write and maintain technical documentation, research papers, and patents as needed.

Required Skills & Qualifications:
5+ years of hands-on experience in machine learning, deep learning, or AI development.
Robust expertise in Python
and deep learning frameworks such as TensorFlow, PyTorch, JAX.
Experience with NLP, computer vision, multimodal AI, and foundation models.
Proficiency in generative AI techniques, including diffusion models, GANs, VAEs, transformers, and reinforcement learning.
Experience deploying models in cloud environments (AWS, GCP, Azure) and using MLOps tools.
Knowledge of vector databases, prompt engineering, fine-tuning LLMs, and retrieval-augmented generation (RAG).
Familiarity with Hugging Face, LangChain, OpenAI, Sta

📌 Quation Solution Bengaluru
🏢 NextHire
📍 Bengaluru