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WAIOps Elite

Company: IBM Corporation
Location: Austin
Posted on: May 3, 2021

Job Description:


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

AI and Automation (AIOps) is a game-changer for IT Operations.

Companies that embrace data for insights and automation of IT Operations will lead and those who do not will fall behind.

We are building an elite team of data science practitioners and DevSecOps / SRE experts to help IBM's clients simplify and automate IT Operations driven by data and AI. This elite team will include data engineers, machine learning engineers, operations engineers, and data journalists.

The team will engage directly in solving real-world IT Operation problems and be responsible for delivering the First-Of-its-Kind AIOps solution for IBM clients around the globe. The elite team will work with client teams to engineer AIOps in their environment, refining AI models; ultimately helping clients to gain deeper, AI-driven insights from their data and enabling them to prevent and fix IT issues at scale. This will enable client IT teams to focus on strategic projects, with AI as the enabler for this new Digital Operations Management

As a member of the team, you should be deeply familiar with the challenges that IT leaders face and be equipped to make recommendations for where and how to apply AI in the IT context. You should have in-depth knowledge of systems, solutions, and hybrid cloud environments that is used in IT Operations to identify the right set of data to train AI models. An understanding of SRE's role and responsibilities and operation metrics would be a plus. You are proficient and knowledgeable with container orchestration platforms such as IBM Kubernetes Services and Red Hat OpenShift. Understanding of and hands-on experience with pods, containers, deployments, services, and other essential components of the Kubernetes platform is a must-have. Experience using monitoring tools such as Grafana and Sysdig and log aggregator tools such as LogDNA and Humio is also desired. You should also have excellent debugging skills to help identify and fix, for instance, deployment issues of containerized applications. You enjoy implementing utility scripts in BASH and Python to automate repeatable tasks that are commonly associated with ETL processes. You should be familiar with the process of cleaning, formatting, and organizing large data collections in order to create quality data sets that can be used for model training, You are also familiar with Docker technology principles and the required steps for containerizing applications. In this team, you will jump-start the process of using AI to transform client IT systems and guide them through their adoption of AI for IT Operations.

Key Responsibilities:

  • Help clients appreciate the power value of AIOps to transform their IT Operations and progress them from a lead to a win for IBM
  • Work with each client to identify high-value use cases for AI in IT with highest business impact.
  • Break that use case(s) down into discrete MVPs (minimal viable product).
  • Collect, prepare, and augment large data sets to train models.
  • Work with new datasets, client systems, and tools.
  • Build and validate new models.
  • Deploy, monitor and retrain models.
  • Scope Application definition
  • Automate repeated IT tasks, driven through insights from the AI Models.
  • Work with the client team to measure the impact of AIOps against defined metrics.
  • Communicate effectively with line-of-business end-users to discover pain points and use cases, lead project definitions, and convey the business value of the project.
  • Guide and mentor clients to become self-sufficient AIOps SMEs.
  • Work with IBM Internal teams to document and provide feedback to productize repeatable use cases.

While working across all these industries, you will also get to travel the World as these engagements will require that the team spend several weeks at client sites working on IT Ops problems with a diverse team.

As a member of the team you will have a T-shaped skill set, having a broad knowledge base, but also in-depth expertise in key areas.


Required Technical and Professional Expertise

  • At least 4 years experience - Data Engineering/ Data Modeling/ Machine Learning.
  • At least 4 years experience - IT Operations, System and Application management and monitoring.
  • At least 4 years experience - Computer Science, Programming skills, including containerization.

Preferred Technical and Professional Expertise

  • 2+ years experience as an IT Sys admin or SRE
  • 4+ years experience -Machine Learning pipeline - data ingestion, predicting, explaining, deploying and diagnosing over fitting
  • 5+ years experience - Business and Leadership
  • Some Management experience is preferred

Keywords: IBM Corporation, Austin , WAIOps Elite, Other , Austin, Texas

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