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!