Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities

• Maintaining and improving Data Science frameworks which automate the end-to-end process for data exploration, model building and predicting.
• Building, maintaining, testing and monitoring production pipelines.
• Continuously optimizing the whole code base ensuring efficient running times and resource use, stability, high test coverage, scalability, and smooth user experience.
• Working with large databases, optimizing queries and databases.
• Automating testing and implementing CI/CD pipelines.

Required Technical and Professional Expertise

• Development & deployment of ML models in Python and relevant Data Science libraries
• Implementing the ML models on AWS using PySpark
• Familiarity with Large Language Models (LLMs) if applicable
• Computer Vision experience is applicable
• Development of predictive models
• Fluent in both English and Romanian

Preferred Technical and Professional Expertise

• Ability to work with data from the data platform and communicate insights effectively