AI Engineer

THE ROLE

We’re looking for a hands-on AI Engineer who excels at turning messy, raw operational data into actionable predictive models. Ideally someone who thrives on Exploratory Data Analysis (EDA), smart feature engineering, and building simple, effective end-to-end prediction models that deliver real business value. You’ll work closely with operational data that is often unclean, incomplete, or unstructured — and turn it into reliable forecasts, risk predictions, anomaly detection, or optimization models.

Key Responsibilities:

• Perform deep exploratory data analysis on raw operational datasets
• Identify patterns, clean data, and create high-impact features
• Build, validate, and deploy end-to-end predictive models (classification, regression, time-series, etc.)
• Own the full modeling lifecycle: from raw data ingestion to production model
• Collaborate with other software engineers to integrate models into our core Java/Angular platform
• Continuously monitor and improve model performance in production

Must-Have Skills:

Core Engineering

• Java, Spring Boot, REST APIs, Microservices
• Angular, TypeScript, HTML, CSS
• SQL (PostgreSQL / MySQL)
• Docker, Jenkins, Git, CI/CD

AI / Data Engineering

• Python for data analysis & ML
• Machine Learning, Predictive Analytics, Computer Vision
• ETL & streaming pipelines (Kafka, Redis, event-driven systems)

Nice to Have

• Manufacturing, logistics, or industrial systems experience
• Time-series forecasting, anomaly detection, optimization
• Hybrid mobile dev (Cordova / Android)
• Industrial protocols: MQTT, TCP/IP, PLC, OPC