Machine Learning Engineer
- Required hands-on experience with design and implementation of Client models and applications. More specifically:
- Machine Learning for computer vision (Client frameworks, neural net models development, training, tuning, serving).
- Google Cloud Vertex AI (AutoML, Pipelines, AI APIs, etc.).
- Python programming.
- MLOps (ideally on GCP).
- Ideal candidate will also have experience in one or more of the following:
- NLP, multi-modal models.
- Deployment of models on Android (TFLite Converter, or similar).
- Shell scripting.
- Data Engineering.
- Generative AI (Google PaLM, OpenAI GPT, LLaMA, or similar, LangChain, LlamaIndex, or similar, prompt engineering, RAG, vector databases, LLM model fine tuning).
- Strong ethics
- Strong technical aptitude
- Engineering mindset/developer background
- Strong sense of ownership and teamwork
- Curious, always learning to get better