Aiml Software Engineer

At ABB we help industries outrun - leaner and cleaner Here progress is an expectation - for you your team and the world As a global market leader we ll give you what you need to make it happen It won t always be easy growing takes grit But at ABB you ll never run alone Run what runs the world This role sits within ABB s Robotics business a leading global robotics company We re entering an exciting new chapter as we ve announced the plan for SoftBank Group to acquire ABB Robotics SoftBank is a globally recognized technology group and investor operator focused on AI robotics and next-generation computing By joining us now you ll be part of a pioneering team shaping the future of robotics working alongside world-class experts in a fast-moving innovation-driven environment This Position reports to Engineering Manager Your roles responsibilities In this role you will implement and optimize core computer vision algorithms and software Work across model training inference integration and perception module deployment Contribute to data pipeline development system debugging and continuous improvement cycles in an agile development environment focused on robotic autonomy The work model for the role is Li hybrid This role is contributing to the Robotics Discrete Automation in Bangalore India Design and implement algorithms for object detection localization and scene understanding to support robotic manipulation and situational awareness in dynamic environments Build modular vision pipelines for image acquisition pre-processing model inference and post-processing Ensure efficiency reusability and maintainability for real-time robotic applications Assist in setting up training pipelines versioning model packaging and deployment workflows Use ML Ops tools to streamline model updates performance monitoring and continuous improvement Implement and maintain well-documented APIs for perception modules and data services Write clean modular code and to integrate functionality across the stack Create test suites for system validation and ensure compliance with accuracy and latency targets Assist in prototyping and experimentation for new techniques and components Contribute to rapid evaluations of feasibility performance and integration potential for emerging capabilities Qualifications for the role Background in Computer Science Robotics Machine Learning or a related field Bachelor s Master s with 3 to 5years of relevant experience Solid foundation in computer vision and deep learning concepts with practical experience applying them to real-world problems Proficient in Python and C with strong software engineering fundamentals version control testing debugging and collaborative development Exposure to system-level programming concepts such as threading memory management low-latency processing and platform resource constraints Exposure to machine learning frameworks e g PyTorch TensorFlow and ML Ops tools for training deployment and monitoring Exposure to user experience UX and user interface UI design concepts for human-centered AI applications especially interfaces used for debugging system control or visualization Experience on cloud technologies and data infrastructure e g AWS GCP or Azure for scalable training data storage or system integration Strong problem-solving mindset curiosity and ability to learn quickly in a fast-paced cross-functional environment More about us ABB Robotics Discrete Automation Business area provides robotics and machine and factory automation including products software solutions and services Revenues are generated both from direct sales to end users as well as from indirect sales mainly through system integrators and machine builders www abb com robotics We value people from different backgrounds Could this be your story Apply today or visit www abb com to read more about us and learn about the impact of our solutions across the globe Fraud Warning Any genuine offer from ABB will always be preceded by a formal application and interview process We never ask for money from job applicants For current open positions you can visit our career website and apply Please refer to detailed recruitment fraud caution notice using the link