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Home Saudi Arabia Industrial Artificial Intelligence Architect
Industrial Artificial Intelligence Architect
Job details
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.
- Proficiency in Python programming and its AI/ML libraries (TensorFlow, PyTorch, Keras, or Scikit-learn), Web development frameworks (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.
- Familiarity 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.
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Hiring company
Michael Page
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