ML engineer

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.

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