Industrial Artificial Intelligence Architect

Employment: Full Time

We are seeking an innovative Industrial AI Architect with a strong focus on AI/ML to drive our industrial and manufacturing analytics department to new heights. The successful candidate will be instrumental in shaping the company's digital future by designing and implementing AI/ML solutions.


Client Details

Our client is a large-scale organisation in the industrial and manufacturing sector, with a strong presence in Jubail. Renowned for its commitment to cutting-edge technology and innovation, the company prides itself on fostering a culture of continuous learning and development.


Description

* Define and implement the AI/ML strategy for the analytics department.
* Lead the design and development of robust AI/ML solutions.
* Collaborate with cross-functional teams to integrate AI/ML solutions into existing systems.
* Conduct regular reviews of system design and architecture, recommending improvements where necessary.
* Maintain up-to-date knowledge of emerging technologies and trends in AI/ML.
* Ensure adherence to industry best practices and compliance with company policies.


Job Offer

* A culture of innovation and continuous learning.
* The opportunity to work on cutting-edge technology in the industrial and manufacturing sector.
* The chance to make a significant impact on the company's digital future.

We encourage all eligible candidates who are eager to drive innovation in AI/ML within the industrial and manufacturing industry to apply. This is an opportunity to work in an exciting environment in Al Jubail, with a company that values growth and innovation.

Requirements:

A successful Architect should have:

* Proficiency in python programming and its AI/ML libraries (TensorFlow, PyTorch, Keras, or Scikit-learn), Web development framework ( FastAPI & Flask).
* Experience with AI/ML frameworks and others (TensorFlow, PyTorch, Keras, FastAPI, Flask).
* Strong understanding of data architecture, data warehousing, and big data technologies (Hadoop, Spark).
* Familiarity with cloud platforms (Azure, Google Cloud) and deploying AI solutions in cloud environments.
* Familiary with DevOps CI/CD environments
* Knowledge of software architecture and design patterns.
* Develop high-quality software solutions based on business requirements
* Deep Learning: Experience building, training, and fine-tuning neural networks for tasks like image recognition, natural language processing, or speech recognition.
* Machine Learning Algorithms: Familiarity with decision trees, random forests, clustering methods, and reinforcement learning.