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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