We are a team of IT (Information Technologies) professionals from Seagate. We are responsible for creating and implementing data-driven solutions to support business decisions and operations. The use of AI and ML allows for real-time data analysis and decision making, predictive maintenance, and the optimization of production processes. We collaborate with the business teams to harness the full potential of Industry 4.0 - Real-time control, IoT, Big Data and Analytics, Automation and Artificial Intelligence to support “Smart Factory” initiative, to make better decision and maximize operational excellence.
About the role - you will:
- Develop machine learning algorithms to automate factory processes
- Undertaking data collection, preprocessing of structured and unstructured data and analysis
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Design, develop, and implement AI agents to automate complex tasks and enhance factory intelligence
- Presenting information using data visualization techniques
About you:
- Familiar and well versed in Computer Science, Information Systems, Software Development, or a related discipline
- Flexible and adaptive in learning new technologies and languages
- Passionate about big data, statistics, data management, data processing, data testing, data governance or analysis
- Ability to communicate and work cross-functionality
Your experience includes:
- Knowledge in machine learning algorithms such as multi-class classifications, decision trees and deep learning, GenAI
- Experience in image processing, OpenCV, TensorFlow would be advantageous
- Experience with Generative AI frameworks and tools (such as Llama, LLMs, RAG)
- SQL, Web technologies, Java, .NET, Hadoop, Python or R/Shiny
- Experience developing, fine-tuning, and deploying large language models and GenAI solutions using open-source tools and prompt engineering techniques
- Background in data science, applied mathematics, or otherwise research-based field
- Experience with microservices architecture, Docker, and Kubernetes is desirable
