דרושים Data Science Consultant ב-Dell ב-Singapore, Singapore

Our Regulatory Engineering team thrives on the challenge of operating in a complex global environment. We ensure product compliance to global regulatory, market and customer requirements in all our target regions. We work across segments and functions to integrate policy relating to emissions, safety and the environment into products and solutions. As we align regulatory standards with our strategic plans, we work closely with regulatory bodies, as well as with industry and customer groups.

What you’ll achieve

An opening based in Singapore Design Centre (SDC) forof GlobalRegulations/Standardsand Environmental Affairs is available.

You will:

• Facilitate all scrum events and promote continuous improvement by creating an environment where scrum can thrive. Maintain all necessary measurements that assess the team's health

• Apply a strong understanding of the Agile methodology, principles, tools, and applications that support Agile ways of working . Capture and champion resolution of impediments while facilitating communications across teams

• Coach team members in the Agile framework. Assist product owner with product backlog management, refinement, and ingestion of new requests

• Monitorthe scrum processesand meetings with a focus on team efficiency

• Introduce changes that will ensure quality and timeliness

Take the first step towards your dream career.

Essential Requirements

• Requires 15+ years of related experience in a professional role with a Bachelor’s degree.

• Serves as an expert in the field and principal advisor. Provides, guides and uses professional concepts in developing resolution to critical issues. Applies extensive knowledge of theories, practices and design matters

• Leads the application of existing principles and guides development of new ideas. Works on issues that impact program success or addresses future concepts and products. Solutions are devised based on limited information and requires judgment. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives

• Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes.

• Exceptional organizational and communications skills.

Desirable Requirements

• Education in Engineering, Computer Science, Chemical or other related subjects.

• Knowledge on product compliance, in Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be a plus.

As a Technical Support Engineer, you will work with highly skilled technical advisors to develop and deliver solutions that enable customers to maximize returns on IT investments, drive efficiencies and reduce costs.
•Resolve customer-reported issues while working closely with other multi-functional teams
•Provide feedback to Engineering for improving product quality and reliability
•Determine priority levels while negotiating and setting expectations with customers
•Document relevant information and ensure that the customer is communicated with in a timely manner and treated with the highest degree of respect
•Drive operational excellence through quality closures and proper escalation of issues•2 to 5 years of related experience and proficient in spoken and written
•First-rate customer focus, phone etiquette and work ethic
•Ability to work under pressure with calmness and composure
•Strong problem-solving and trouble-shooting skills using operational and diagnostic procedures
•Ability to take on shift work, holidays, weekends and on-call responsibilities
•Bachelor’s degree

Application closing date:31 December 2025

Professional Services Senior Consultant -

As a Professional Services Consultant, you will provide technical and consultative guidance for solutions opportunities on a range of complex engagements and deliver technical architectural design, strategies and solutions for engagements.

You will:

• You will plan and craft detailed design documents and perform hands-on implementation of VMware/ Microsoft / Redhat related solutions.

• Designing, deploying, and managing the delivery, performance and lifecycle of enterprise infrastructure systems, platforms, processes, and services. Assist in solution proposal and pre-sales technical support for sales opportunities by identifying the requirements and design Infrastructure/Hybrid Cloud solutions

• Implement, support and hands-on experience with VMware’s products including but not limited to VMware vSphere, SRM, vSAN, NSX, Tanzu, and Aria etc. Maintain an existing high-level technical knowledge of VMware and Microsoft product portfolio .

• Implement, support and hands-on experience in core infrastructure technologies such as HyperV, Active Directory, DNS, DHCP, Exchange, System Center Suite etc

• Experience in Azure IaaS/PaaS and Microsoft 365 services like Exchange Online, Intune, Teams. Experience with Linux Red Hat, Kubernetes, Python, Shell Scripting and Powershell is highly advantageous

• 6–10 years of related experience

• Experience with installation, customization and integration of highly complex architecture and technologies

• Experience with executing projects with approved methodology, planning and SOW requirements

• Excellent interpersonal, written, and verbal skills to be able to influence and interact with confidence and credibility at all levels within the Dell Technologies companies, customers, partners, and vendors.

• Ability to work independently and work collaboratively in a team environment.

Desirable Requirements:

• Bachelor’s degree or Diploma holder in relevant field

• VCP or VCAP in areas like NSX, vSAN, Tanzu. Good presentation skills

• Microsoft Certified Professional. Skills in Redhat Openshift, NVIDIA, RunAI, ClearML

on our.

, on theteam, you’ll gain applied data science experience,leveraging established university and industry contacts, working on a team of data scientists and engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, and working with a team of data scientists, and ML, data, and embedded SW engineers to research, develop, and deploy AI-enabled solutions for millions of end users.

You Will:

• Collaborate with engineering and operations teams to integrate and deploy AI applications on client devices with backend cloud integration
• Work across a diverse set of telemetry collection and deployment environments inclusive of client endpoint OSes, real-time operating systems, and embedded firmware ecosystems
• Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
• Translate business questions into compelling use cases and provide insights using data and statistical methodsas well as t

Requirements

• Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 8 years, MS + 5 years, Ph.D. + 2 years minimum
• Solid experience developing for Microsoft (MS) Windows OSto include client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph and experience with embedded device development in at least one RTOS
• Progressive knowledge of AI / ML algorithms, particularly in the Generative AI domain, as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments with advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
• Solid communicator with the ability to explain difficult analytical methods to technical and business stakeholders
• Experience working in software development or other cross-functional teams, with strong mentorship, and coaching skills

Desirable skills

• Experience working with cloud-based applications in Azure as well as leading small teams
• Familiarity with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT)as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software

Application closing date:31 December 2024

with our

on theteam, you’ll gain experience as a lead Data Scientist with a strong AI/ML focus, leveraging established university and industry contacts, leading a team of engineers for applied Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for driving technical CTO AI initiatives, and working with a team of data scientists, AI, data, and embedded SW engineers to research, develop, and deploy AI-enabled solutions for millions of end users.

Responsibilities

• Guide and work with teams of HW & SW engineers, data scientists, and data engineers to deliver the complete life cycle of complex AI/ML solutions on client devices. Architect AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
• Collaborate with engineering and operations teams to architect and develop data pipelines spanning the client ecosystem, both on and off device as well as collaborate across organizations, with engineering and operations teams to integrate and deploy ML solutions across client devices with cloud integration
• Participate with PC business units to synthesize business questions and translate them into architecture. Keep up with latest trends in Generative AI across the industry.
• Deliver experiences using data, advocate and execute strategies to adopt data and data science in all business and architectural resolutions
• Provide AI-enabled concepts by working with marketing and engineering teams to define, plan, and develop a product roadmap

Requirements

• Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitativecomponent; Bachelors+ 12 years, MS + 8 years, Ph.D. + 5 years minimum
• Advanced experience with development in the Microsoft (MS) Windows OS including with client SDKs including MS DirectML, WinML, and MS Graph as well as with embedded device development in RTOS environments
• Progressive knowledge of AI / ML algorithms, particularly in the Generative AI domain, as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments with advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
• Excellent communication skills and the ability to explain difficult analytical methods to technical and business stakeholders
• Evidence of leadership skills in software development, data science organizations, or other cross-functional teams, with

Desirable skills

• Experience working with cloud-based applications in Azure as well as guiding teams across multiple programs and interacting across organizations
• Experience working with Open Neural Network Exchange (ONNX) models, the ONNX run time (ORT), and Execution Provider (EP) development as well as advanced use of hardware vendor toolchains such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software

Application closing date:31 March 2025

Senior Analyst, Data Scientist

As a Data Scientist, you will be responsible for developing data-driven solutions, building scalable models, and collaborating with cross-functional teams to solve real-world problems.

You will:

• Research and implement AI/ML solutions to solve business problems.

• Build and maintain relationships with stakeholders to drive data-driven decisions.

• Ensure compliance with data governance best practices.

• Contribute to innovation, collaboration, and Agile methodologies.

Essential Requirements

• 2-3 years in data science, machine learning, or a related field.

• Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

• Strong experience with SQL for querying, data extraction, and manipulation.

• Solid understanding of supervised and unsupervised learning algorithms and model evaluation techniques.

• Familiarity with version control (Git), modular programming, and performance optimization.

• Strong analytical thinking with the ability to apply AI/ML solutions to business challenges.

• Ability to work with cross-functional teams and articulate technical concepts clearly.

Desirable Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.

• Ability to implement and deploy ML models in production environments.