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NLP Solutions Developer

2 months ago

Singapore MyCareersFuture Full time
About the Role

We are seeking a highly skilled NLP Solutions Developer to join our team at MyCareersFuture. As an NLP Solutions Developer, you will be responsible for designing, developing, and deploying NLP solutions using cutting-edge techniques and technologies in cloud or on-premises environments.

Key Responsibilities
  • Work closely with subject matter experts to incorporate NLP components into existing systems and applications.
  • Conduct independent research to refine and enhance product evaluation suites, ensuring accurate measurement of model and product performance.
  • Engage in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training.
  • Assess and compare different NLP techniques and tools to pinpoint the most effective approach for specific tasks.
  • Execute thorough testing and validation procedures on NLP models to guarantee their resilience and dependability.
  • Optionally, possess experience in designing resilient frameworks and devising solutions for intricate challenges.
  • Demonstrate an analytical mindset with adept problem-solving skills.
  • Keep abreast of the latest advancements in NLP techniques and methodologies, actively experimenting with novel models and approaches to maintain our competitive advantage.
  • Exhibit a strong drive to deliver optimal solutions within tight timelines.
  • Comprehensive documentation of technical specifications, architectural designs, and best practices.
Requirements
  • Master or bachelor degree in computer science, AI / Machine Learning or related field.
  • 2-5 years of hands-on experience in Gen AI solution development specific in NLP applications, e.g., Agentic AI, RAG, NER, JER, prompt engineering, etc.
  • Strong understanding of NLP fundamentals, algorithms, and techniques.
  • Proficiency in Python and relevant NLP libraries (e.g., NLTK, spaCy, Gensim, LangGraph, LlamaIndex, etc...).
  • Proficiency in relevant GenAI frameworks (e.g., LangChain, LlamaIndex, Llama-factory, etc...).
  • Experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face).
  • Excellent problem-solving, communication, and teamwork skills.
  • Experience with specific NLP tasks such as text classification, named entity recognition, sentiment analysis, or question answering.
  • Knowledge of natural language understanding (NLU) and natural language generation (NLG).
  • Experience with productionizing NLP models and addressing real-world challenges.
About MyCareersFuture

We are committed to fostering a collaborative and inclusive work environment where innovation and creativity thrive. If you are passionate about NLP and have the skills to make a significant impact, we encourage you to apply.