AI Module Development Engineer – IoT & Digital Platforms

Job Purpose:

To design, build, and integrate AI modules into IoT/IIoT and digital platforms by managing the full machine learning lifecycle — from model training to deployment — ensuring scalable and business-aligned solutions.

Key Responsibilities:

• AI Module Development & Integration – Design and build AI modules that integrate seamlessly into IoT/IIoT and digital platforms.
• Machine Learning Model Lifecycle – Develop, train, validate, and maintain ML models for predictive maintenance, anomaly detection, optimization, and risk scoring.
• System & Platform Integration – Work with APIs, data pipelines, and dashboards to integrate AI solutions into enterprise and industrial systems.
• Model Training– Prepare data, select algorithms, and train models with high accuracy and scalability.
• Production Deployment – Deploy, monitor, and optimize ML models in production environments (cloud and edge).
• Collaborate with cross-functional product and engineering teams to ensure AI solutions meet business requirements.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
• Strong expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Proven hands-on experience in ML model training and production deployment.
• Solid understanding of IoT/IIoT platforms (AWS IoT, Azure IoT, or custom).
• Experience in data engineering & API integration.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization(Docker, Kubernetes).

Key Competencies:

• End-to-end ownership of ML model lifecycle.
• Strong analytical and problem-solving skills.
• Ability to bridge technical solutions with business impact.