Seeking a skilled NLP Engineer to develop and deploy natural language processing models for various applications. Responsibilities include analyzing complex data sets, training machine learning algorithms, and improving language understanding systems. Collaborate with cross-functional teams to create innovative solutions in the field of NLP.

Skills

• Chatbot
• C Plus Plus
• Python
• API
• Java

Requirements

• Job Role NLP Engineer
• Job Type Full Time
• Workplace Type Remote
• Industry Human Resources Services

Secondary locations

About

Not provided

Responsibilities

• Research and Development: Design, implement, and evaluate NLP models and algorithms to solve specific tasks or improve existing systems.
• Data Preprocessing: Clean, preprocess, and format raw text data to make it suitable for NLP tasks, including tokenization, stemming, and lemmatization.
• Model Training: Train, fine-tune, and optimize machine learning and deep learning models for various NLP tasks using appropriate datasets and techniques.
• Evaluation and Optimization: Evaluate model performance using relevant metrics, conduct experiments to improve performance, and optimize algorithms for scalability and efficiency.
• Integration: Integrate NLP components and systems into larger software applications or platforms, ensuring seamless functionality and interoperability.
• Documentation: Document research findings, methodologies, algorithms, and codebase to facilitate knowledge sharing and collaboration within the team.
• Stay Updated: Stay abreast of the latest advancements and trends in NLP research, techniques, and tools, and incorporate relevant developments into your work.
• Collaboration: Collaborate with cross-functional teams including data scientists, software engineers, product managers, and domain experts to understand requirements and deliver effective NLP solutions.
• Support and Maintenance: Provide support, troubleshoot issues, and maintain NLP systems in production environments, ensuring reliability and performance.
• Ethical Considerations: Consider ethical implications and biases in NLP models and applications, and work towards developing fair and unbiased solutions.

Other Requirements

• Data Processing and Analysis: Ability to work with large volumes of text data, preprocess it, and perform exploratory data analysis.
• Linguistic Knowledge: Basic understanding of linguistics, syntax, semantics, and pragmatics to effectively model and process human language.
• Statistical Analysis: Proficiency in statistical methods and techniques often used in NLP, such as probability theory, information retrieval, and statistical modeling.
• Software Development Practices: Experience with software development practices like version control (e.g., Git), testing, debugging, and deployment.
• Problem-Solving Skills: Strong analytical and problem-solving skills to address complex NLP challenges and optimize algorithms for performance.
• Communication Skills: Effective communication skills to collaborate with cross-functional teams, explain technical concepts to non-technical stakeholders, and document work.

Good to have

Not provided

About the Company