Machine Learning Engineer

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. 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. Qualifications 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. #J-18808-Ljbffr