Job Description

Experience: 2 - 8 yrs. | Opening: 1


Education:Any Graduation

Nationality: Any Nationality

Industry Type:Industrial Products / Heavy Machinery

Functional Area:Software Development / Application Development (IT Software) Sep 16,2025

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: AI Software Developer,AI,AI Platform Engineer,IoT,AI Solutions Architect,Machine Learning,AI Engineer,Deep Learning,AI Module Developer,AI Systems Engineer,IoT AI Specialist,Machine Learning Engineer,Embedded AI Engineer,TensorFlow,PyTorch