Scope:
- Build and fine-tune GenAI models for different use cases.
- Create APIs and integrations so AI features work smoothly in our systems.
- Work with data—cleaning, preparing, and organizing it to get the best results.
- Experiment with prompts and improve them for more accurate outputs.
- Keep track of how models perform, and make them faster, better, and more cost-effective.
- Team up with product, design, and tech colleagues to turn ideas into working AI features.
- Explore new GenAI tools and techniques and bring fresh ideas to the table.
Requirements:
- Solid programming skills in Python and experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face).
- Hands-on work with large language models (LLMs) and knowledge of NLP and generative AI.
- Experience deploying AI models on cloud platforms (AWS, GCP, or Azure).
- Familiarity with vector databases, embeddings, and retrieval (RAG).
- Curiosity, creativity, and problem-solving mindset.
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