Job Description

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.
Keyword:

Skills Required