
Advanced Generative AI Expert
6 days ago
The role of a GenAI Specialist is pivotal in driving innovation by designing and implementing cutting-edge generative AI models that meet client needs.
This involves key responsibilities such as fine-tuning large language models, optimizing scalable machine learning pipelines, and integrating AI into applications for seamless performance.
- Fine-tune state-of-the-art models like Llama, GPT, Stable Diffusion, and Variational Autoencoders to drive business impact.
- Implement and optimize LLM fine-tuning, prompt engineering, and AI safety mechanisms to improve model efficiency and usability.
- Work closely with business and engineers to embed generative AI solutions into real-world applications, ensuring seamless user experiences.
- Build and refine scalable ML pipelines for efficient model deployment, inference, and real-time adaptation.
- Stay ahead of emerging technologies and model architectures to drive continuous innovation.
Qualifications:
A Master's degree in Data Science, Statistics, Engineering or a related field is required. Alternatively, applicants with a Bachelor's degree and relevant work experience can also be considered.
Key Skills Requirements:
- At least 4-5 years of experience in the Data Science domain with strong exposure to Generative AI.
- Experience using Machine and Deep Learning languages, preferably Python and R, to manipulate data and draw insights from large datasets.
- Hands-on experience with LLMs, multimodal AI, and diffusion models for applications in text, image, or speech generation.
- Strong proficiency in TensorFlow, PyTorch, Hugging Face Transformers, and OpenAI APIs.
- Familiarity with cloud platforms and model deployment strategies.
- Ability to work with large-scale datasets and retrieval-based AI systems.
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