A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries helping them shape their hybrid cloud and AI journeys. With support from our strategic partners robust IBM technology and Red Hat you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting curiosity fuels success. You’ll be encouraged to challenge the norm explore new ideas and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
In this role you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers) where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
- As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering storage and both batch and real-time processing.
- Collaborating closely with diverse teams you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer you'll tackle obstacles related to database integration and untangle complex unstructured data sets.
- In this role your responsibilities may include:
- Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data incorporating a variety of statistical and machine learning techniques
- Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
- Work in an Agile collaborative environment partnering with other scientists engineers consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s.
- Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner developing predictive or prescriptive models and evaluating modelling results
- Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
- Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
- Document solution architectures design decisions implementation details and lessons learned.
- Stay up to date with the latest trends and advancements in AI foundation models and large language models.
- Evaluate emerging technologies tools and frameworks to assess their potential impact on solution design and implementation
- Experience and working knowledge in COBOL & JAVA would be preferred
- Having experience in Code generation code matching & code translation leveraging LLM capabilities would be a Big plus
- Demonstrate a growth mindset to understand clients' business processes and challenges