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 strong 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.

- Strong 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, Stability AI, or similar frameworks.

- Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

- Master’s or PhD in Computer Science, AI, Machine Learning, Statistics, or related fields.

- Experience with real-time AI applications, personalization engines, or AI-driven content generation.

- Contributions to open-source AI projects or publications in top-tier AI conferences (NeurIPS, ICML, CVPR, ACL, etc.).

- Experience in reinforcement learning, multi-agent systems, or generative agents.

Why Join Us?

- Opportunity to work on cutting-edge AI projects with state-of-the-art models.

- Collaborative and dynamic work environment with AI experts and industry leaders.

- Competitive compensation, stock options, and benefits.

- Continuous learning opportunities and access to top AI conferences & workshops.

If you are passionate about pushing the boundaries of Generative AI and want to make a meaningful impact, apply now!

📌 Quation Solution - Generative AI Engineer (Bengaluru)
🏢 Recognized
📍 Bengaluru