Quation Solution

2 weeks ago

Bengaluru, India Nexthire Full time

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 innovative 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

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