ParadigmIT Technology - Generative AI Engineer - GPT/LLama

Responsibilities :

- Design, train, fine-tune, and deploy generative AI models (e.g., GPT, BERT, LLaMA, Stable Diffusion, DALLE).

- Work with large-scale datasets and implement data preprocessing, augmentation, and pipeline automation.

- Collaborate with product managers, data scientists, and software engineers to integrate models into production.

- Optimize model performance and inference using techniques such as quantization, pruning, or distillation.

- Research and prototype novel approaches in generative AI to solve specific business or user problems.

- Stay up to date with the latest research and advancements in the generative AI field.

- Monitor deployed models and implement strategies to ensure reliability, fairness, and compliance.

- Contribute to building internal tools and platforms for model experimentation and deployment.

Qualifications :

Required :

- Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, or related field.

- 3+ years of experience in ML engineering or deep learning roles.

- 1+ years of experience in Gen AI is required.

- Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX).

- Proficiency in Python and familiarity with relevant ML libraries (Transformers, Hugging Face, LangChain, etc.).

- Experience with training or fine-tuning LLMs, VAEs, GANs, or diffusion models.

- Solid understanding of NLP, computer vision, or multimodal systems.

- Experience working with cloud platforms (AWS, GCP, or Azure) and MLops tools (e.g., MLflow, Weights &

Biases).