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.
