AI Senior Software Engineer (all genders)
Core
Design, develop, and deploy advanced machine learning and deep learning models for high-impact, real-world applications within a Digital Workplace platform.
Role type
Senior IC machine learning engineer (MLOps & model lifecycle)
Builds
Production ML models and AI solutions integrated into the core product ecosystem
Domain
Digital Workplace / Enterprise Software / AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, deep learning architectures, statistical modeling, data analysis, prompt engineering, quantitative output evaluation, data labeling strategies, CI/CD, Docker, infrastructure automation
Preferred skills
None stated
Technologies
Docker, CI/CD pipelines
Responsibilities
Research, develop, and deploy advanced machine learning and deep learning models; Own the end-to-end ML lifecycle from data exploration to production deployment; Implement robust MLOps practices including containerization and infrastructure automation; Focus on prompt engineering and data labeling strategies to assure high quality model outputs; Partner with Product Managers, Software Engineers, and QA teams to integrate AI solutions
Seniority
Senior, hands-on IC