Python Developer at Nathan Digital

As a Python Developer with expertise in Natural Language Processing (NLP), Generative APIs, and Chatbot development, you will work closely with our cross-functional teams to design, develop, and maintain advanced solutions that drive the next generation of conversational AI and customer interaction. You will be responsible for building robust, scalable, and efficient systems that make use of NLP techniques and generative models to create intelligent chatbots and interactive applications.

Key Responsibilities:

NLP Development:

• Develop and implement NLP algorithms and models to process and understand natural language text.
• Enhance existing NLP pipelines and develop new ones for various applications.

Generative API Integration:

• Integrate generative APIs (e.g., GPT-4, BERT) into our applications and services.
• Fine-tune models for specific tasks and domains.

Chatbot Development:

• Design, develop, and maintain chatbots that provide human-like conversational experiences.
• Implement and improve dialog management systems for chatbots.

API Development:

• Create and maintain RESTful APIs to expose NLP and chatbot functionalities.
• Collaborate with frontend developers to ensure seamless integration.

Data Processing and Analysis:

• Work with large datasets to train and evaluate NLP models.
• Perform data analysis to gain insights and improve system performance.

Collaboration:

• Collaborate with cross-functional teams, including data scientists, UX/UI designers, and product managers, to understand project requirements and deliver solutions that meet business goals.

Research and Innovation:

• Stay updated with the latest advancements in NLP, generative models, and AI technologies.
• Contribute to research and development efforts to innovate and improve our products.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Proven experience (3+ years) in Python development with a strong focus on NLP and chatbot development.
• Solid understanding of NLP techniques, libraries (e.g., NLTK, spaCy, Transformers), and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with generative models and APIs (e.g., GPT, BERT).
• Proficiency in developing RESTful APIs and integrating them into applications.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Familiarity with cloud platforms (e.g., AWS, Azure) is a plus.
• Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.