Software Engineer

At IBM Finance & Operations, we are the backbone of IBM’s transformation driving efficiency, transparency, and smart decision-making across the business. Our teams provide the insight and discipline that guide strategy, ensure financial strength, and enable IBM to invest in innovation and growth. Working in Finance & Operations means combining analytical skills with collaboration and curiosity. You’ll partner with colleagues across functions and geographies, using data, technology, and process excellence to create solutions that improve performance and deliver measurable impact. IBM offers continuous learning, career development, and a culture that values diverse perspectives. Join us and be part of a global team that keeps IBM moving forward, while building your own future in a dynamic and evolving environment. Software Engineer is responsible for working independently and leading the resolution of varied and non-routine complex machine learning challenges.  This role exercises independent judgment and creative solutioning to design scalable models and optimize AI-driven systems.  As a technical expert, this role drives ML innovation and architectural decisions, may coordinate team activities, and mentor new engineers to ensure the successful completion of assignments.    Lead end-to-end Large Scale ML Systems: Architect and deploy scalable machine learning solutions for enterprise applications. Innovate in Feature Engineering: Develop innovative feature engineering techniques to improve model outcomes. Optimize Algorithms: Lead efforts in algorithm research and optimization for improved efficiency. Model Lifecycle Management: Oversee the lifecycle of machine learning models, including maintenance and updates. Cross-Functional Leadership: Guide project teams and serve as a subject matter expert in machine learning initiatives. Mentorship: Provide technical guidance and training to other engineers Define technical roadmaps Lead end-to-end Large Scale ML Systems: Architect and deploy scalable machine learning solutions for enterprise applications. Innovate in Feature Engineering: Develop innovative feature engineering techniques to improve model outcomes. Optimize Algorithms: Lead efforts in algorithm research and optimization for improved efficiency. Model Lifecycle Management: Oversee the lifecycle of machine learning models, including maintenance and updates. Cross-Functional Leadership: Guide project teams and serve as a subject matter expert in machine learning initiatives. Mentorship: Provide technical guidance and training to other engineers Define technical roadmaps India Software Engineering Hybrid Professional Bangalore, IN (0063) IBM India Private Limited