Joining the IBM Technology Expert Labs teams means you'll have a career delivering world-class services for our clients. As the ultimate expert in IBM products you'll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best—running and growing their business.
Excellent onboarding and industry-leading learning culture will set you up for a positive impact while advancing your career. Our culture is collaborative and experiential. As part of a team you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us.
As a Delivery Consultant you will work closely with IBM clients and partners to design deliver and optimize IBM Technology solutions that align with your clients' goals. In this role you will apply your technical expertise to ensure world-class delivery while leveraging your consultative skills such as problem-solving issue- / hypothesis-based methodologies communication and service orientation skills. As a member of IBM Technology Expert Labs a team that is client focused courageous pragmatic and technical you'll collaborate with clients to optimize and trailblaze new solutions that address real business challenges.
If you are passionate about success with both your career and solving clients' business challenges this role is for you. To help achieve this win-win outcome a 'day-in-the-life' of this opportunity may include but not be limited to…
- Solving Client Challenges Effectively: Understanding clients' main challenges and developing solutions that helps them reach true business value by working thru the phases of design development integration implementation migration and product support with a sense of urgency .
- Agile Planning and Execution : Creating and executing agile plans where you are responsible for installing and provisioning assets testing migrating to production and day-two operations.
- Technical Solution Workshops: Conducting and participating in technical solution workshops.
- Building Effective Relationships: Developing successful relationships at all levels —from engineers to CxOs—with experience of navigating challenging debate to reach healthy resolutions.
- Self-Motivated Problem Solver: Demonstrating a natural bias towards self-motivation curiosity initiative in addition to navigating data and people to find answers and present solutions.
- Collaboration and Communication : Strong collaboration and communication skills as you work across the client partner and IBM team.
*Please refer that this position is 1 year Fixed Term Hires.
- Expertise in Data and AI Technology: Experience with building creditability for Data and AI methodology and practices for data management data fabric data governance trustworthy AI and business analytics or equivalent enterprise solutions.
·       The ideal candidate will have a data science background and experience including but not limited to identify use cases building and validating models deployment models via APIs monitoring and retaining models and creating Machine Learning pipelines and train modules.
·       Background in several areas including:
- Computer Science
- Programming
- Probability and Statistics
- Big Data and Machine Learning
- Expertise in Data and IT Technologies: Deep expertise requires an expert technical level in data and IT software technologies including several technology areas including IBM Cloud Pak for Data Red Hat OpenShift IBM Db2 COGNOS IBM Watson Studio and related AI frameworks or equivalent enterprise solutions.
- Experience in programming in at least two of the following Python R Scala or Java. preference for Python Expert
- Experience in Machine Learning pipeline - data ingestion feature engineering modeling including ensemble methods predicting explaining deploying and diagnosing over fitting
- Experience in model selection and sampling
- Experience in deep learning and neural nets