OS Knowledge & Technical Skills: Strong fundamental knowledge in Linux/Unix Systems administration (Ubuntu, CentOS, Red Hat, Solaris, AIX) and basic Windows networking, essential for storage mounting and agent installation (e.g., S3fs, backup agents).
Customer & Task Management: Excellent oral and written English communication skills. Strong ability to manage multiple tasks, focusing on customer requirements and service-level continuity.
Key Responsibilities for DCS Storage Engineer:
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Constrained optimization problem formulations the following: convex optimization, dynamic programming, NLP, MILP and MINLP.
Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs and conduct hardware-in-the-loop (HIL) simulations using OPAL-RT.
Applications of stochastic programming/approximate dynamic programming approach.
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Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Want tidy, reliable project records and a team that actually uses them? Working with us at CHINA CONSTRUCTION PEARL RIVER (M) SDN. BHD., you join a construction team delivering building and infrastructure projects across Malaysia with a focus on clarity, safety, and on-time delivery.
As our Document Controller, you are the backbone that keeps designs, contracts, and site paperwork organised so teams can move faster and avoid rework. You manage document flow, control revisions, and make sure the right version is always on site.
Build and operate the harder engineering layers of a solution when projects demand it: orchestrated pipelines, worker-based and event-driven architectures, stream processing, and scaling for data volume and concurrency.
Own solution quality: data validation, model evaluation, reproducibility, performance, and operational reliability (monitoring, alerting, failure recovery).
Lead and mentor a team of junior data scientists and analysts; review their work, unblock them technically, and grow their skills.
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