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NLP Engineer
2 weeks ago
Position: NLP Engineer
Location: Bangalore / Remote
Employment Type: Full Time
Experience Level: 3 to 6 Yrs
Company Overview:
We are hiring for a B2B SaaS product company which is at the forefront of leveraging advanced AI technologies to drive innovative solutions. We are seeking a talented NLP Engineer with experience in building chatbots using large language models (LLMs) to join our dynamic team.
Job Summary:
As an NLP Engineer specializing in chatbot development, you will be responsible for designing, developing, and implementing advanced chatbot solutions using state-of-the-art language models. You will collaborate with cross-functional teams to create seamless conversational experiences that enhance user interaction and engagement.
Key Responsibilities:
- Design and develop chatbot solutions using large language models (LLMs) such as GPT-4, GPT-3, BERT, etc.
- Collaborate with product managers, designers, and other engineers to define chatbot requirements and use cases.
- Implement natural language understanding (NLU) and natural language generation (NLG) components.
- Fine-tune and optimize pre-trained language models to improve chatbot performance and accuracy .
- Develop and maintain APIs and backend services to support chatbot functionalities.
- Conduct regular testing and validation of chatbot systems to ensure robustness and reliability.
- Monitor and analyze chatbot interactions to identify areas for improvement and implement enhancements.
- Stay updated with the latest advancements in NLP and machine learning Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in natural language processing (NLP) and machine learning.
- Proven experience in developing chatbots using large language models (LLMs) .
- Strong programming skills in Python and familiarity with NLP libraries such as Hugging Face Transformers, SpaCy, NLTK, etc.
- Experience with machine learning frameworks such as TensorFlow, PyTorch , or similar.
- Knowledge of conversational AI platforms and tools (e.g., Rasa, Dialogflow, Microsoft Bot Framework).
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and teamwork skills.
Preferred Qualifications:
- Experience with cloud platforms such as AWS, Google Cloud, or Azure .
- Familiarity with deployment and scaling of ML models in production environments.
- Knowledge of linguistics and language modeling techniques.
- Prior experience in user experience (UX) design for conversational interfaces.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge AI technologies.
- Remote work opportunity.
- Collaborative and inclusive work environment.
- Professional development and growth opportunities.
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