Artificial Intelligence Engineer

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.