
Data Science Specialist
14 hours ago
Job Overview
The role of a GenAI Expert is to spearhead innovation by designing and implementing cutting-edge generative AI models that cater to client needs.
Main Responsibilities:
- Develop Next-Generation Generative AI Models: Research, design, and fine-tune state-of-the-art models like Llama, GPT, Stable Diffusion, and VAEs to drive business impact.
- Enhance AI Capabilities: Implement and optimize LLM fine-tuning, prompt engineering, and AI safety mechanisms to improve model efficiency and usability.
- Integrate AI into Products/Services: Work closely with business and engineers to embed generative AI solutions into real-world applications, ensuring seamless user experiences.
- Optimize for Scale & Performance: Build and refine scalable ML pipelines for efficient model deployment, inference, and real-time adaptation.
- Stay Ahead of AI Trends: Keep pace with emerging technologies, model architectures, and industry breakthroughs to drive continuous innovation.
- Communicate complex AI concepts to technical and non-technical audiences, ensuring alignment with business strategies.
Required Skills and Qualifications:
- At least 4-5 years of experience in 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 data sets.
- 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 and custom fine tuning of LLMs and AIops toolkits.
- Familiarity with cloud platforms (AWS, GCP, Azure), model deployment strategies, and GPU optimization.
- Experience building data pipelines and data centric applications using distributed storage platforms in a production setting.
- Ability to work with large-scale datasets, vector embeddings, and retrieval-based AI systems.
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