Senior Backend Engineer

Demonstrate a deep understanding of natural language processing (NLP) techniques. Hands-on experience building and deploying machine learning models for text analysis. Strong knowledge of conversational AI frameworks and technologies, such as Dialogflow or Rasa. Proficiency in designing scalable and reliable backend systems for conversational AI applications. Passion for staying updated on advancements in AI and ML, particularly in conversational agents. Excellent problem-solving skills and the ability to adapt to challenges in the conversation AI domain.

Integrate AI and ML algorithms with backend systems to enhance functionality. Develop APIs and microservices for communication between AI/ML models and other application components. Implement data preprocessing and feature engineering pipelines for AI/ML model training. Deploy and manage AI/ML models in production environments ensuring reliability and scalability. Utilize tools like TensorFlow, PyTorch, or scikit-learn for building and deploying machine learning models. Collaborate with data scientists and ML engineers to optimize AI/ML workflows.