Managing/coordinating service provider performance including tracking work order completion and validating invoices as needed. Provide facility specific assistance to the project management team as needed or requested.
Ensure all site management and operations practices comply with company and client standards.
Communicate/Escalate with appropriate parties (facility manager, client, OEM vendors, etc.) as needed.
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Designing, developing, and deploying machine learning models and AI solutions to solve business challenges in operations, maintenance, forecasting, and process optimization.
Architecting end-to-end ML workflows, including data preparation, feature engineering, model development, validation, and production deployment.
Conducting exploratory data analysis, feasibility assessments, and proof-of-concept (POC) initiatives to evaluate business value and technical viability.
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Handle typical and small to medium sized projects comprising Mechanical Building Services,
Sewerage Lifting Pumping Station, Water Pumping Station, Drainage Pumping System, and all infrastructure related pump station as assigned by HOD/GM of Division with minimal guidance by superior
Lead a team of engineers and other staff in undertaking multi-disciplinary small to medium sizedprojects with minimal guidance by superior
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Lead and conduct in-depth technical due diligence on potential M&A targets, strategic partners, or new venture opportunities, assessing their R&D capabilities, technology stack, intellectual property (IP) portfolio, and product/process maturity.
Evaluate the technical feasibility, scalability, and integration challenges of external technologies or solutions. Identify technical risks and potential synergies between the company's existing R&D efforts and external opportunities.
Proactively monitor emerging technologies, scientific breakthroughs, and industry trends relevant to the company's strategic interests and R&D roadmap. Identify potential technology partners, startups, or research institutions for collaboration, investment, or acquisition.
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Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; Master's degree in Machine Learning, Data Science, Artificial Intelligence, or a related field is an advantage.
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.
You will work with Product/Design/Analytics teams to understand problems, requirements, provide feedback, options, trade offs, and timelines.
You will collaborate with Android/IOS/Backend/QA/ML Engineers to brainstorm and implement technical solutions that are scalable and addressing the actual problems.
You will write code that is reusable, scalable and testable. Make sure features are delivered on time and with high quality.
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Candidates should possess skills in Data Center Operations and Data Center Infrastructure, including monitoring, maintenance, and asset management.
Candidates should possess skills in Troubleshooting and Technical Support, with the ability to diagnose and resolve hardware and infrastructure issues.
Candidates should possess skills in Cabling, including structured cabling, cable management, and rack organization.
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Support serviceable Schneider equipment including but not limited to: electrical switchgear, protection relays, PLCs, HMIs, Gateway, Servers, Communication, Networking in ENMCS & IMCS environment.
Properly document, label, and return all defective parts utilized in the repair of equipment to the designated disposal/repair location.
Develop innovative solutions to more complex technical problems that arise during start-up.
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Architect, administer, and optimize cloud infrastructure across various cloud platforms AWS, Microsoft Azure, and Google Cloud Platform.
You will design, deploy, and maintain API integrations, webhooks, and workflow automations that reduce manual effort and improve operational efficiency.
You will drive infrastructure-as-code adoption using tools such as Terraform and Ansible etc.
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