IBM Cognitive Systems Technical Specialist (CTS) - UAE in DUBAI, United Arab Emirates

We live in an era of remarkable change and opportunity. Data and technology are transforming industries, society, and even the workplace by creating professions that didn't exist before the emergence of cognitive computing, cloud, and analytics, social, mobile and security. As the largest technology and consulting employer in the world, IBM is a leader in this global transformation and we encourage you to consider being part of this new team.The Cognitive Systems Technical Sales Specialist is a presales job role and the candidate will be responsible for the following:

  • Leading pre sales discovery workshops with clients to identify and shape Cognitive infrastructure opportunity

  • Leading infrastructure solution design to support Cognitive, High Performance Data Analytics and HPC solutions

  • Developing and proving the Systems infrastructure value proposition through using hands on technical accelerators and methods with clients

  • Leveraging the local ecosystem of ISV’s and services providers to increase our value and capabilityTeaming with and leveraging the Cognitive solutions units, offerings teams, R&D and global infrastructureIf you are excited about Big Data & Analytics, High Performance Computing, Artificial Intelligence, with a proven technical consultative background, we want to talk to you.Required Skills & Experience

  • Proven Industry experience in using machine learning and other techniques to drive the core AI engine forward

  • The ideal candidate must have experience of building high performance infrastructure solutions that encompasses cluster of NVlink GPU & servers, scalable filesystems, storage and high performance networks such as InfiniBand

  • Be able to demonstrate skills in any of open frame works such as TensorFlow, Caffe, NVCaffe, Torch, etc.

  • The candidate should be able to articulate well with clients the value proposition and be the bridge from data scientist to CIO/CTO.

  • Require excellent communication, technical writing, and public presentation skills; ability to interact and communicate effectively and courteously with clients, partners and peers

  • 2+ years experience of using several of the following technologies and products:

  • Architecting high performance clusters using PCM, xCAT or similar

  • Articulating and architecting big data solutions around Hadoop, Spark and related tools

  • Good knowledge of GPFS (Spectrum Scale), HDFS and ESS products. Candidate should be able build solutions using these technologies.

  • Well versed in Linux (preferably Ubuntu)

  • Minimum Qualifications

  • Bachelor's degree in computer science or a computational science or computational engineering discipline, or equivalent combination of training and experience.

  • Travel

  • 50%

  • At least 2 years experience in in scripting (perl, python), experience in system management and installation.

  • At least 2 years experience in knowledge and hands on experience in Linux clustering and at least one of following topics:

  • At least 2 years experience in pre-sale of Big Data architecture & HPC solutions

  • At least 2 years experience in bridging from data scientist to CIO

  • At least 2 years experience in design thinking and or agile methods.

  • At least 2 years experience in either Hardware Processor architectures and Systems, GPUs, Ethernet networking (Switching, Routing, VLAN), Infiniband, Flash and disk systems, ESS or Software: Linux OS and Scripting, Spectrum Scale (GPFS), Platform cluster manager (or XCAT), Platform LSF, MPI Programming Environment, OpenMP or HADOOP configuration and performance optimization

HW Sales

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.