Position: Cognitive Data Scientist
Hybrid Cloud Management System AIOps
IBM Cloud Brokerage Services (ICBS) business unit is seeking an experienced Cognitive Data Scientist with machine learning model development, train and deployment experience. The ICBS team develops applications for hybrid cloud management across the lifecycle of plan, order, deploy, operate and govern customer workloads.
As a Cognitive Data Scientist, you will be responsible for development, training, and deployment of machine learning models for the Hybrid Cloud Management System - AIOps application. You will closely work with the ICBS Product Management, Architecture, and Delivery teams to understand product requirements and roadmap from both a business, technical, and delivery perspective. You will collaborate with the teams to commit to delivering stories/tasks/defects within a sprint cycle. You will participate in the current agile development process based on the Spotify model. You will mentor and lead junior development resources to ensure increase in the productive output.
The successful candidate will be ambitious and self-directed with a passion for Agile-based Cloud-native development in a Spotify model. You will have prior machine learning model and data analytics development experience with a thorough understand of DevOps and its supporting services and tools. You will also have proven analytical capabilities, and web application development experience, and the tenacity to develop ideas independently and thrive in a fast-paced start-up environment. You are very delivery-focused, balanced with being a big-picture evangelist. You are able to communicate clearly and compellingly with the stakeholders of the product.
Responsible for following the defined agile development processes including attending the required meetings with contribution towards the successful completion of the sprints..
Collaborates with product management and customer delivery teams to ensure product requirements are clear on what customers expect and what the delivery teams should set as the right expectations with the customers.
Communicate rigorously within the squad on goals, ongoing progress, milestones, and any issues.
Support and follow the overall product architects, delivery architects, to drive and establish the architecture decisions and designs for the product.
Leverage the DevOps team to ensure product can be automatically built, deployed, and tested using a CI/CD pipelines across all of the release cycles from dev to production.
Mentor and develop required skills of other junior product developers.
Experience as a Cognitive Data Scientist for large-scale enterprise cognitive applications.
Experience applying machine learning and predictive analytic techniques to large, complex data sets specializing in even data processing
Experience with Machine Learning frameworks
Expert in coding hands on in Python and R
Experience with Big Data architectures including Spark/Hadoop, HDFS, analytical processing
Proven ability to develop resilient code (best practice error handling) that performs and scales for large enterprise needs
Deep expertise in developing REST-based API's (json/yaml), Micro-services with RDBMS and NoSQL
Bachelor's degree in Computer Science or equivalent with specialization Machine Learning
Understanding of Public and Private Cloud Provider services, usage and delivery paradigms
Working knowledge of cloud technologies and architectures, including Virtualization, APIs, Micro-services and Containers.
5+ years experience delivering enterprise-class cognitive applications
2+ years experience developing in Python and modern web-based languages
Excellent verbal and written communication abilities: must effectively communicate with technical and non-technical teams
High attention to detail and proven track record in taking ownership, driving results and moving with speed to implement ideas in a fast-paced online environment
Willingness to roll up your sleeves and do whatever is necessary
Ability to process and manage multiple priorities
Ph.D or Masters in Computer Science/Artificial Intelligence with specialization in Machine Learning.
Knowledge of IT Service Management and IT Operations Management processes, tools and technologies
Knowledge of CI/CD processes, DevOps toolchains, blueprint, template and/or container based deployment models
Experience with multiple Cloud services, including vmWare, IBM Cloud, AWS, MS Azure, Google Cloud beyond compute and storage
Experienced with Jira / Confluence, GitHub, Travis, TestRails, GoCD.