What are the responsibilities and job description for the ML engineer position at Agnos health?
Description
- Design and develop machine learning models.
- Design and develop chatbot applications utilizing LLMs and RAG techniques.
- Develop and maintain pipelines for data preprocessing, model training, and evaluation.
- Integrate chatbots with external data sources and APIs to enhance response accuracy and relevance.
- Implement and test machine learning algorithms and systems.
- Train and retrain systems as necessary.
- Monitor and optimize chatbot performance, ensuring high accuracy and user satisfaction.
- Extend existing ML libraries and frameworks.
- Strong programming skills in Python, with experience in NLP libraries such as Hugging Face Transformers, NLTK, or SpaCy.
- Experience with LangChain for building, managing, and deploying LLM-based applications.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and RAG techniques.
- Experience with cloud platforms (e.g., AWS, Google Cloud) and deploying NLP models in production.
- Excellent problem-solving skills and ability to work independently.
- Strong communication skills and ability to collaborate with cross-functional teams.