About the Role
The role involves designing, developing, and deploying NLP models to extract meaningful patterns from unstructured text. The candidate will work closely with cross-functional teams to integrate AI-driven solutions into production systems.
Responsibilities
- Design and implement NLP models for text classification, entity recognition, and semantic analysis
- Collaborate with engineering teams to integrate models into scalable platforms
- Evaluate model performance using statistical and qualitative methods
- Stay current with advancements in NLP and machine learning research
- Translate business requirements into technical solutions
- Optimize models for speed and accuracy in production environments
- Work with large, diverse datasets including structured and unstructured text
- Develop pipelines for data preprocessing and feature engineering
- Support deployment of models using containerized environments
- Conduct error analysis to improve model robustness
- Document methodologies and share findings with stakeholders
- Mentor junior team members in NLP best practices
- Participate in code reviews and technical design discussions
- Ensure models comply with data privacy and ethical AI guidelines
- Use Python and relevant NLP libraries for model development
- Apply transformer-based architectures such as BERT and RoBERTa
- Leverage cloud platforms for distributed computing tasks
- Collaborate on product feature development based on NLP insights
- Present technical results to non-technical audiences
- Contribute to research initiatives and potential publications
Nice to Have
- Experience with large language models and prompt engineering
- Contributions to open-source NLP projects
- Research publications in NLP or machine learning venues
- Hands-on experience with distributed computing frameworks
- Knowledge of semantic web technologies or knowledge graphs
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexibility for remote work
Team
Part of a collaborative data science team focused on advanced analytics and machine learning
About the Team
The data science team operates at the intersection of research and product development, focusing on delivering intelligent systems that solve real-world problems through data-driven methods.
Technology Stack
The team uses Python, PyTorch, Hugging Face Transformers, Docker, Kubernetes, and cloud-based ML platforms to build and deploy NLP solutions.
Available for qualified candidates
