Brightvision · 6 days ago
NLP Engineer
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking a skilled NLP Engineer to develop and deploy advanced Natural Language Processing solutions, leveraging cutting-edge technologies to transform business processes through technology.
AdvertisingB2BMarketing
Responsibilities
Develop and deploy advanced Natural Language Processing (NLP) solutions using Python, NLTK, and spaCy for text preprocessing, tokenization, and feature extraction
Leverage Transformers and Hugging Face libraries to build, train, and fine-tune BERT/GPT-based models for tasks like Text Classification, Named Entity Recognition (NER), Sentiment Analysis, and Information Extraction
Design and execute Model Training & Fine-Tuning pipelines, optimizing hyperparameters and evaluating performance on large-scale datasets
Create scalable RESTful APIs to serve NLP models, enabling seamless integration with web applications and microservices
Deploy models on Cloud Platforms (AWS, Azure, GCP) using containerization with Docker and orchestration via Kubernetes for high availability
Manage Linux-based environments, automating deployments through CI/CD pipelines and Git for version control and collaboration
Collaborate in Agile methodologies, participating in sprints to deliver production-ready NLP features iteratively
Implement end-to-end NLP workflows, from data ingestion to inference, ensuring robustness, scalability, and low-latency predictions
Optimize model inference for real-time applications, incorporating techniques like quantization and distillation
Conduct research and experimentation with state-of-the-art NLP models to drive innovation in language understanding and generation
Qualification
Required
Develop and deploy advanced Natural Language Processing (NLP) solutions using Python, NLTK, and spaCy for text preprocessing, tokenization, and feature extraction
Leverage Transformers and Hugging Face libraries to build, train, and fine-tune BERT/GPT-based models for tasks like Text Classification, Named Entity Recognition (NER), Sentiment Analysis, and Information Extraction
Design and execute Model Training & Fine-Tuning pipelines, optimizing hyperparameters and evaluating performance on large-scale datasets
Create scalable RESTful APIs to serve NLP models, enabling seamless integration with web applications and microservices
Deploy models on Cloud Platforms (AWS, Azure, GCP) using containerization with Docker and orchestration via Kubernetes for high availability
Manage Linux-based environments, automating deployments through CI/CD pipelines and Git for version control and collaboration
Collaborate in Agile methodologies, participating in sprints to deliver production-ready NLP features iteratively
Implement end-to-end NLP workflows, from data ingestion to inference, ensuring robustness, scalability, and low-latency predictions
Optimize model inference for real-time applications, incorporating techniques like quantization and distillation
Conduct research and experimentation with state-of-the-art NLP models to drive innovation in language understanding and generation
Company
Brightvision
Brightvision is a lead generation agency for B2B tech companies.
Funding
Current Stage
Growth StageCompany data provided by crunchbase