Data Scientist/AI Engineer

Brak informacji o wynagrodzeniu

SeniorFull-time

#377156·Dodano dziś·0

Źródło: nofluffjobs.com

Tech Stack / Keywords

Machine learningAIUse casesNLPMLOpsPythonHugging FaceAWSMWAAAthenascikit-learnDocker

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 ability to collaborate with technical and non-technical stakeholders.

Deliver AI-powered, customer-facing solutions.
Design, develop, and deploy end-to-end machine learning and NLP systems.
Create impactful AI products by collaborating with technical and business stakeholders.
Design, build, and deploy end-to-end Machine Learning solutions from experimentation to production.
Develop AI agents for customer-facing use cases.
Experiment with various ML techniques to identify effective approaches for business problems.
Design and implement NLP solutions, including transformer-based models.
Analyze customer feedback data and build Customer Experience (CX) prediction models.
Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
Support production deployment and maintenance of ML models using modern MLOps practices.

SQUARE ONE RESOURCES

133 aktywne oferty