
Senior AI Model Developer
4 days ago
We are seeking an innovative AI developer with strong proficiency in Python and leading machine learning frameworks. The ideal candidate will be responsible for developing and deploying cutting-edge generative AI models, leveraging expertise in large language models (LLMs), natural language processing (NLP), and vector databases.
Main Responsibilities:
- Design, develop, and implement Generative AI models, including those utilizing LLMs (GPT, LLaMA, Claude, etc.) and image/video generation models.
- Apply expertise in Python and ML frameworks such as TensorFlow, PyTorch, and JAX for model development and optimization.
- Leverage knowledge of NLP (Natural Language Processing), transformers, embeddings, and prompt engineering to build sophisticated AI applications.
- Implement solutions using vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG) techniques.
- Deploy AI models on cloud platforms (AWS, GCP, Azure), ensuring scalability and reliability.
- Apply MLOps principles for continuous integration, continuous delivery, and monitoring of AI models.
- Develop and integrate APIs for model serving using frameworks like FastAPI, Flask, and orchestration tools like Kubernetes.
Skill Requirements:
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, JAX).
- Experience with LLMs (GPT, LLaMA, Claude, etc.) and image/video generation models.
- Knowledge of NLP, transformers, embeddings, and prompt engineering.
- Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
- Experience deploying AI models on cloud platforms (AWS, GCP, Azure).
- Understanding of MLOps, APIs, and model serving (FastAPI, Flask, Kubernetes).
Nice-to-Have Skills:
- Experience with LangChain, Hugging Face, OpenAI APIs.
- Background in image and video generation models (Stable Diffusion, DALL E, Midjourney).
- Contributions to open-source AI projects.
Qualification:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, or equivalent practical experience.
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