Overview:
My client, a growing no-code SaaS company, is seeking an AI Engineer to build intelligent features that enhance automation, analytics, and user workflows within its platform.
Responsibilities
- Develop and deploy ML models powering automation, recommendations, and predictive insights.
- Build data pipelines for ingestion, transformation, and feature engineering.
- Integrate AI components into the platform’s UI and backend services.
- Own full model lifecycle: training, evaluation, deployment, and monitoring.
- Collaborate with product, engineering, and UX to define AI use cases and measure impact.
Requirements
- 5+ years in ML, AI engineering, or data science.
- Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Experience deploying ML models into production (APIs, microservices).
- Familiarity with MLOps best practices.
- Experience working with structured data and building data pipelines.
Nice to Have
- No-code / low-code platform experience.
- Cloud ML experience (AWS/GCP/Azure).
- Knowledge of data privacy and compliance.
