Senior Generative AI Engineer
On-siteIslamabad, Islamabad, Pakistan
Job Summary
Design and implement generative AI models such as GPT, Stable Diffusion, and VAEs for various use cases, while fine-tuning and optimizing large language models using techniques like LoRA, PEFT, or RLHF. Develop scalable training and inference pipelines using modern ML infrastructure and collaborate with product and research teams to turn ideas into working AI-powered features. Analyze model outputs for quality, bias, and safety, and implement necessary safeguards while staying up to date with the latest research to apply state-of-the-art techniques. Lead and mentor junior engineers and contribute to architectural decisions. Master's or PhD in Computer Science, Computer Science, Machine Learning, AI, or related field, 4+ years of hands-on experience in machine learning, with at least 2 years in generative models.
Required Qualifications
- Master's or PhD in Computer Science, Machine Learning, AI, or related field
- 4+ years of hands-on experience in machine learning, with at least 2 years in generative models
- Deep understanding of transformer architectures, diffusion models, embeddings, and prompt engineering
- Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow
- Experience with model deployment, optimization (e.g., quantization, distillation), and cloud AI tools
- Familiarity with data curation, synthetic data generation, and ethical considerations in generative AI
- Excellent communication skills and ability to work cross-functionally
Desired Qualifications
- Experience with OpenAI, Hugging Face, or similar platforms
- Contributions to generative AI research or open-source projects
- Experience with multimodal models (text+image, text+audio, etc.)
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