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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
Key Responsibilities:
- Design Ced, develop, and deploy generative AI models (e.g., GPT, BERT, DALL•E, Stable Diffusion).
- Fine‑tune pre‑trained models on domain‑specific datasets.
- Collaborate with data scientists, ML engineers, and product teams to integrate models into applications.
- Conduct research and stay updated on the latest advancements in generative AI.
- Optimize model performance and inference speed for production environments.
- Implement responsible AI practices including bias mitigation, explainability, and safety.
- Build pipelines for data preprocessing, model training, evaluation, and deployment.
Required Skills & Qualifications:
- 46 years of experience in machine learning and deep learning.
- Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers.
- Experience with LLMs, GANs, VAEs, or diffusion models.