Python Developer(NLP/LLP)

Job Description:We are seeking a skilled Python Developer with hands-on experience in Natural Language Processing (NLP) and Language Learning Processing (LLP) to join our dynamic team. The ideal candidate will have a strong background in Python development and a proven track record of implementing NLP and LLP solutions in real-world applications. You will be responsible for designing, developing, and maintaining NLP/LLP systems that enhance our products and services.Key Responsibilities:Design, develop, and maintain Python-based applications with a focus on NLP/LLP.Implement and optimize NLP algorithms and models for various applications such as text classification, sentiment analysis, entity recognition, and machine translation.Collaborate with data scientists, engineers, and product managers to understand requirements and deliver high-quality solutions.Integrate NLP/LLP models into existing systems and ensure seamless operation.Conduct data preprocessing, feature extraction, and model evaluation.Stay updated with the latest advancements in NLP/LLP and incorporate relevant technologies and methodologies.Debug and resolve technical issues related to NLP/LLP systems.Document code, processes, and research findings effectively.Qualifications:Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.Proven experience as a Python Developer with a focus on NLP/LLP.Strong understanding of NLP techniques and libraries such as NLTK, SpaCy, GPT, BERT, etc.Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.Proficient in data preprocessing, text mining, and feature extraction techniques.Familiarity with RESTful APIs and web services.Experience with version control systems such as Git.Strong problem-solving skills and attention to detail.Excellent communication and teamwork abilities.Preferred Qualifications:Experience with cloud platforms such as AWS, GCP, or Azure.Knowledge of big data processing frameworks like Hadoop or Spark.Familiarity with DevOps practices and tools such as Docker and Kubernetes.Experience in deploying and scaling NLP models in production environments.Contributions to open-source NLP projects or publications in relevant journals.

Key Skills

• Git
• Azure
• Data Science
• GCP