As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
As an Incubation Engineer, you will be expected to:- Understand customer’s technical requirements & be the voice of the customer user personas
- Build Proof-of-Concept pods & demonstration test beds
- Suggest solution architectures based on IBM’s larger portfolio
- Document solutions and produce white-papers
- Prepare customer facing technical presentations & conduct product adoption workshops with end-user personas
- Drive grouping and prioritisation of customer requirements
- Work with the sales teams and customers to ensure products continually meet market requirements while maintaining business objectives
- Gather and analyse all available research and data sources to continually refine and improve all aspects of the product
General expectations
- Experience with Telco and Edge environments including networks and infrastructure management
- Be hands on in various cloud and enterprise networking scenarios, such as building networks, deploying controllers and demonstrating solutions
- Be comfortable in automating scenarios using one or more scripting languages. Be comfortable in Infra Automation packages such as Terraform or Ansible
- Be comfortable in understanding various routing protocol and security configurations
- Coordinate with Product Management, Sales and Marketing teams to develop technical solution documents such as design documents, white papers and presentations
- Monitor competitor capabilities, and produce comparative research reports
- Be comfortable in learning and trying out new solutions
Required Technical and Professional Expertise
- Overall 8+ years of experience with 5+ years on engineering / prototype development / solution architecture.
- Atleast 5+ years of relevant experience in framing solutions for Telco’s & Enterprises for SDN/NFV requirements
- Strong telecommunications knowledge with Proficient understanding of Virtualization, NFV/SDN, Network Slicing, Open stack, Kubernetes & Public Cloud Networking environments, etc.
- Hands-on Experience with ML & AI model integrations. Strong understanding of Knowledge Graphs & the application of KGs in AI use-cases
- Ability to manage all associated activities throughout Product life cycle in collaboration with other functional groups (Sales, marketing, Finance, Engineering, Services, Partners etc)
- Experience in generating Product collaterals – whitepapers, technical product marketing, development of pricing models, Market research and competitive analysis
Preferred Technical and Professional Expertise
- Exposure to product managing SaaS platforms, management of a product portfolio