Company Description
NoLimit is a technology company specializing in online media monitoring and analytic tools, aimed at improving customer relationships and understanding. The company offers various online media solutions, including the NoLimit Dashboard, NoLimit Care, and an Online Loyalty Program. For more information, visit their website at http://nolimit.id/ or contact them at [Confidential Information]. Stay updated with their latest news on social media channels.
Job Descriptions:
- Develop and optimize NLP pipelines for sentiment analysis, topic extraction, and text summarization, etc.
- Fine-tune and implement IndoBERT, Hugging Face Transformers, and LLMs for production use cases.
- Build automation systems to replace repetitive manual data processing and reporting tasks.
- Implement clustering, embedding-based search, and semantic retrieval to enhance data insights.
- Build and maintain chatbots and conversational AI integrated with APIs.
- Work with Elasticsearch and vector databases for search and retrieval solutions.
- Occasionally work on computer vision projects (image classification, object detection, OCR, etc.).
- Perform data preprocessing, feature engineering, and ML modeling.
- Deploy ML/NLP/CV models using Flask, FastAPI, Streamlit, and containerized environments.
- Collaborate with engineering, product, and business teams to translate data insights into actionable strategies.
Qualifications
Technical Skills:
- Programming: Python (Text Preprocessing, Machine Learning, AI, NLP, Computer Vision), Plus point: Java or Scala experience
- NLP & AI: IndoBERT, Hugging Face Transformers, topic extraction, summarization, sentiment analysis, ABSA, embeddings (Sentence-BERT, OpenAI), clustering, entity recognition & Langchain.
- Machine Learning: Classification, regression, clustering; PyTorch, TensorFlow, model fine-tuning.
- Search & Retrieval: Elasticsearch, vector search, semantic search, RAG.
- Conversational AI: Chatbot development (LLM-based), Generative AI.
- Data Engineering: Data cleaning, preprocessing, SQL (MySQL/PostgreSQL), big data tools (Spark/Hadoop).
- Web & API Development: Flask, FastAPI, Streamlit; REST/GraphQL API integration.
- DevOps & Tools: SSH, Linux CLI, Git, ML/NLP model deployment to production.
Soft Skills:
- Analytical & critical thinking
- Clear communication of complex technical ideas
- Team collaboration & attention to detail
Preferred Qualifications:
- Internship or projects in ML, NLP, chatbot, summarization, or LLM-based applications.
- GitHub portfolio showcasing NLP/ML/AI work (e.g., sentiment engine, topic extraction, summarization, Elasticsearch search systems).