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Cognitive Systems Technical Specialist

IBM

Sydney, New South Wales, Australia

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Job Posted: 25/09/2017

Job Category:

IT and Telecommunications / Sales & Business Development

Job description:
Cognitive Systems Technical Sales Specialist
 
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, 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.
 
IBM is currently hiring a Cognitive Systems Technical Sales Specialist. Technical Sales Specialists partner with IBM and Business Partner sales teams to deliver industry centric business solutions to clients. As a client-facing technical sales professional, you will be guided by IBM's purpose – to be essential to its clients. We are seeking individuals interested in making an impact in selling IBM's Cognitive Systems portfolio including software, servers and storage, as well as Lab Services.
 
In this role, you will have the exciting opportunity to help shape next generation Cognitive System deployments for clients, with a specific focus on Big Data, Machine Learning, Artificial Intelligence and Deep Learning. You will develop specific, long-lasting relationships with technical leaders from your assigned customer set, in particular data analysts, data engineers and data scientists, advise them on infrastructure solutions for their compute and storage requirements.
 
You will lead all technical aspects of Cognitive System engagements for your clients from opportunity identification, and proof of concept to implementation, working hand in hand with our sales teams and global R&D resources. You are passionate about technology, and your success as a Technical Sales Specialist is based on deep technical expertise, good insights into open source solutions, a good understanding of business processes, and the ability to identify and create business opportunities across multiple industries. Excellent communication and presentation skills allow you to convey compelling value propositions, and work effectively across internal and external organizations.
 
If you are excited about Big Data, Machine Learning, Artificial Intelligence and Deep Learning Solutions, and ideally with a proven technical pre-sales or consultative background, we want to talk to you.

Primary job responsibilities

  • Leading presales client engagements from opportunity identification, to solution design and proof of concepts, owning the technical client relationship
  • Co-create new ways of doing business with clients, using Cognitive solutions. Working hand in hand with our sales teams leveraging your in-depth technical background to help customers understand how to improve their businesses using the right set of Big Data, Machine Learning, Artificial Intelligence, Deep Learning solutions.
  • Build, design, and present solutions to customers, partners and evangelize our platform at industry events. Be an internal champion for Deep Learning or Data Science among the IBM technical community

Required skills

 
  • Passion for Data Science is a must have, someone who keeps up to date on latest trends and techniques; willing to share knowledge with the team
  • Advanced knowledge of Linux systems, and a deep knowledge of the open source ecosystem
  • Knowledge of frameworks like Caffe, Torch, CNTK, TensorFlow, Theana,…
  • Programming capabilities, preferably in Python and Java; proficient in statistical programming in languages such as Python and R; and working knowledge in RDBMS such as PostgresQL or MySQL
  • Experience in areas such as Natural Language Processing, Speech Recognition Image Classification, Predictive modelling, or Data Mining is highly advantageous
  • Exposure to GPU technology and CUDA programming
  • Really-Nice-to-Haves: Applied experience working with Hadoop, Apache Spark, Apache Cassandra, mongoDB, and/or Experience with OpenMP, MPI and other parallel programming languages