Knowledge of software development process and technical skills: Lead AI /ML Engineer must know the technical aspects of projects to identify risks, propose immediate solutions and provide guidance for Digital transformation solutions.
Define the AI/ML strategy and roadmap for oil & gas solutions, aligning with Yokogawa’s digital transformation objectives.
Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.
The objective is to understand your customer’s business objectives to align with Yokogawa capabilities and solutions. In this role you will lead other Yokogawa key contributors in an overall strategy to implement solutions that will contribute to customer business objectives in a way that is meaningful and measurable in the areas of AI/ML solutions.
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.
Make strategy, implement initiatives & measures to help position AI/ML solutions to achieve long term sustainability and profitability on establishing site services orders, management of warranty & post-delivery support for YUAE business.
Report to Department Manager-Advanced Solutions Department on job progress, issues and resolutions and manpower-mapping for effective delivery of solution.
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.
Qualification and Experience
A bachelor’s degree in data science / AI or Software engineering with specialization in data science and having strong process knowledge. Master’s degree is preferable.
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