Generative AI Engineer

Key Skills

Strong foundation in Machine Learning, Deep Learning, and NLP

In-depth understanding of transformer architectures (BERT, GPT, LLaMA, Deepseek, Mistral)

Hands-on with fine-tuning, RAG, LoRA, quantization

Familiarity with vision-language models (CLIP, LLaVA, BLIP)

Understanding of GPU acceleration, distributed training, model parallelism

Proficient in Python, PyTorch, TensorFlow, Hugging Face, LangChain

Experience building end-to-end GenAI applications using APIs & frameworks

Exposure to Docker, Kubernetes, and vector databases (Pinecone, FAISS, Weaviate, Milvus)

Responsibilities

Model development, fine-tuning, and optimization

Build and deploy RAG pipelines & GenAI applications

Integrate and scale solutions using cloud & container technologies

Research, collaborate, and push the boundaries of AI innovation

Interested

Send your CV to [HIDDEN TEXT]