Data Scientist/AI Engineer @ Square One Resources
Summary
Design, build, and deploy end-to-end AI/ML and NLP systems, including transformer models and customer-facing AI agents, using Python, AWS, and MLOps practices.
- Delivering AI-powered, customer-facing solutions.
- Design, develop, and deploy end-to-end machine learning and NLP systems.
- Creating impactful AI products by working closely with both technical and business stakeholders.
- Strong Python programming skills, including production-grade development.
- Hands-on experience building and deploying end-to-end ML systems.
- Practical experience with Machine Learning projects in commercial environments.
- Experience developing AI agents or intelligent customer-facing applications.
- Strong knowledge of NLP and transformer-based architectures (e.g. HuggingFace).
- Experience working with customer feedback analysis and CX prediction models.
- Good knowledge of AWS services, especially Amazon SageMaker, Amazon MWAA, and Amazon Athena.
- Experience with scikit-learn and other ML frameworks.
- Experience with Docker and ML deployment workflows.
- Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
- Delivering AI-powered, customer-facing solutions.
- Design, develop, and deploy end-to-end machine learning and NLP systems.
- Creating impactful AI products by working closely with both technical and business stakeholders.