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Kent | AI Systems Engineer
Kent plc
posted 23d ago
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Job Description
Our vision for Diversity, Inclusion and Belonging: Key Responsibilities- 4+ years of relevant experience in AI/ML solution development, data analytics, Generative AI, and AI solutions design preferably within the energy or engineering industries. Experience in the energy sector is a plus. Proven experience with Microsoft Azure services, including Azure Machine Learning, Cognitive Services, Azure Data Factory, and Databricks. Hands-on experience in developing and deploying AI/ML models at scale, with a focus on real-world applications in the energy sector. Core Competencies: Strong technical expertise in Python or R and AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in data engineering and management, including ETL processes and database integration using Azure tools. Experience with MLOps practices, including CI/CD pipelines for AI/ML solutions. Knowledge of energy sector challenges and AI use cases such as predictive analytics, asset management, and carbon footprint reduction. Ability to work independently and collaboratively in a global, multicultural environment. Analytical and problem-solving skills, with a proactive approach to innovation and continuous learning. Strong verbal and written communication skills in English, with the ability to articulate technical concepts to non-technical stakeholders. Collaborative mindset with experience working in cross-functional teams and global networks. Cultural sensitivity and ability to work in a global, multicultural environment.
- Key member of the Centre of Excellence (CoE) responsible for scoping, designing, and creating AI-driven solutions, aligned with Kent s vision of establishing an AI Factory.
- Collaborate with an AI partner company to develop AI solutions using Microsoft Azure services like Azure Machine Learning, Cognitive Services, and Databricks.
- Work with global stakeholders identified through the AI Network to prioritise and execute AI initiatives that address operational challenges.
- Lead AI solutions design, ensuring the architecture is scalable, secure, and optimised for performance.
- Leverage Generative AI (Gen AI) and data analytics to develop innovative solutions that enhance business operations and decision-making.
- Design and implement scalable AI systems and integrate them seamlessly into Kent s existing operational workflows.
- Build and operationalise AI/ML pipelines using MLOps principles for model deployment, monitoring, and iteration.
- Develop AI solutions tailored to the energy industry, including predictive maintenance, process optimisation, and digital twins.
- Manage and enhance data pipelines in Azure, ensuring data quality, security, and integrity for AI/ML model development.
- Collaborate with cross-functional teams, including engineers and business analysts, to ensure alignment between AI solutions and business needs.
- Stay updated on advancements in AI technologies, particularly in the energy industry, and contribute to thought leadership through workshops and knowledge-sharing initiatives.
- Support the long-term vision of building Kent s AI Factory by developing reusable frameworks, templates, and processes for AI solution delivery.
Employment Type: Full Time, Permanent
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