
Machine Learning Engineer
4 days ago
We are looking for an expert in Artificial Intelligence/Machine Learning to fill a critical role. The ideal candidate will have advanced knowledge of AI, artificial intelligence, deep learning, NLP, and optimization techniques.
The role involves designing, implementing, and optimizing AI-powered solutions to enhance digital platform performance, efficiency, and reliability.
The candidate will work on integrating AI models into production environments, automating workflows, and leveraging generative AI to drive innovation across business applications.
- AI/ML Model Development & Automation: Develop AI/ML models that assist engineers by automating tasks such as control logic generation, graphics template suggestions, report/documentation automation, and workflow optimization.
- Data-Driven Insights & Predictive Tooling: Analyze system engineering data (configuration files, tag databases, and control schemes) to identify patterns, build predictive tools, and enable data-driven decision-making.
- Generative AI & NLP Applications: Integrate large language models (LLMs) and natural language processing (NLP) techniques to translate natural language descriptions into configuration elements and intelligent engineering support tools.
- Productivity & Operator Assistance: Create AI-powered operator-assistive tools such as SOP recommendations, automated report generation, intelligent dashboards, and alarm prioritization to enhance plant performance.
- Predictive Maintenance & Anomaly Detection: Design AI-based modules for predictive maintenance, control loop performance monitoring, anomaly detection, and root-cause analysis using historian and time-series process data.
- MLOps & Lifecycle Management: Implement and maintain AI model pipelines for training, validation, deployment, monitoring, and continuous improvement in the engineering environment.
- Collaboration & Co-Creation: Work closely with control engineers, software developers, and UX designers to deliver user-friendly AI-enabled features; collaborate with plant engineers and operators to validate models and ensure seamless integration with DCS HMI.
- Compliance & Security: Ensure all AI solutions align with standards, cybersecurity guidelines, and operational safety procedures.
- Clear Communication: Proficiently explain technical concepts to non-technical colleagues and support a culture of innovation, collaboration, and Agile delivery.
Key Responsibilities:
Design and implement AI-powered solutions to enhance digital platform performance, efficiency, and reliability.
Integrate AI models into production environments, automate workflows, and leverage generative AI to drive innovation.
Develop AI/ML models that assist engineers by automating tasks and enhance plant performance through AI-powered operator-assistive tools.
Implement and maintain AI model pipelines for training, validation, deployment, monitoring, and continuous improvement.
Work closely with cross-functional teams to deliver user-friendly AI-enabled features and ensure seamless integration with DCS HMI.
Ensure all AI solutions align with standards, cybersecurity guidelines, and operational safety procedures.
Proficiently explain technical concepts to non-technical colleagues and support a culture of innovation, collaboration, and Agile delivery.
Requirements:
The ideal candidate will have:
Advanced knowledge of AI, artificial intelligence, deep learning, NLP, and optimization techniques.
Proficiency in AI/ML model development and automation.
Experience with data-driven insights and predictive tooling.
Ability to integrate large language models (LLMs) and natural language processing (NLP) techniques.
Strong communication and collaboration skills.
Knowledge of MLOps and lifecycle management.
Benefits:
Competitive salary and benefits package.
Opportunity to work on cutting-edge AI projects.
Collaborative and dynamic work environment.
Professional growth and development opportunities.
What We Offer:
A chance to be part of a forward-thinking organization.
Opportunity to work with a talented team of experts.
Access to state-of-the-art technology and tools.
Flexible work arrangements and remote work options.
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