Job description



Our Software Networking Unit is looking for Data Engineers to join our development team of data scientists & MLOps engineers to drive Artificial Intelligence & Machine Learning solutions for our data rich suite of software cloud networking products.

Your Role and Responsibilities

This role primarily focuses on developing ML solutions which leverage data from our products to drive insights and decision-making for our customers. The core responsibilities of the role involve supporting the automation, development and implementation of machine learning and deep learning models, management of big data infrastructure, and execution of data engineering tasks. The successful candidate will be part of our AI/ML development team who design, create, and support AI-driven products to deliver impactful AI solutions.

Your Role And Responsibility Will Encompass

  • Implementing solution for data engineering in data science / machine learning domain
  • Designing, developing, and implementing end-to-end data solutions (storage, integration, processing, access)
  • Architecting and implementing ETL and data movement solutions
  • Designing and implementing high velocity streaming solutions
  • Creating conceptual logical and physical data models
  • Migrating data from traditional relational database systems to relational databases such as Azure SQL and Azure Synapse
  • Implementing ad-hoc analysis solutions
  • Ensuring platforms and tools meet or exceed data security standards, including internal and external audits performed

Required Technical and Professional Expertise

  • Minimum 5 years’ working experience in data modelling, ETL & ETL tools
  • Demonstrate capability in data lake, data warehousing, data integration, data migration tools knowledge, data quality and profiling skills
  • Experienced in relational database such as SQL server, Postgres, DB2, Oracle, etc
  • Experienced in noSQL databases such as MongoDB, Cassandra, Hadoop,
  • Experienced in a programming language such as Python, Java, C/C++
  • Possesses knowledge in processing, transferring and reducing large volumes of data while maintaining high performance.
  • Possesses experience of having solved complex analytical and technical problems
  • Linux skills, preferably in RHEL
  • Proficient in both spoken and written English

Preferred Technical And Professional Expertise

  • Preferred experience in one or more cloud data platform such as IBM Cloud, AWS, Azure, GCP
  • Preferred experience in collaboration with data scientist in data exploration and machine learning
  • Experience with data visualization tools such as Tableau or Power BI.
  • Certification in data engineering, machine learning, or AI.

About Business Unit

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

Your Life @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location Statement

For additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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