W ABB pomagamy przemys owi wyprzedza konkurencj - dzi ki wi kszej wydajno ci i czystszym procesom Post p jest podstaw - dla Ciebie Twojego zespo u i ca ego wiata Jako wiatowy lider rynku zapewnimy Ci wszystko czego potrzebujesz aby osi gn sukces Nie zawsze b dzie to atwe poniewa rozwoj wymaga determinacji Jednak w ABB nigdy nie b dziesz dzia a w pojedynk Kieruj tym co nap dza wiat This Position reports to R D Team Lead Your role and responsibilities We are seeking a highly skilled Senior Python Developer with strong experience in backend development algorithm design machine learning and signal processing The role requires hands-on expertise in Python frameworks Flask Dash data processing libraries and Azure cloud services Exposure to industrial automation IoT or domain-specific signal data workflows is a robust plus This role is contributing to the Motion Business Service Division in Bangalore India You will be mainly accountable for Developing Scalable Python Solutions - Design build test and maintain modular Python applications REST APIs and interactive dashboards using Flask and Dash Leading Architecture Best Practices - Drive architecture discussions and ensure robust reusable and well-documented code aligned with industry standards Algorithm Data Processing - Implement and optimize algorithms for data analysis prediction and automation workflows handle large datasets using Pandas NumPy and similar libraries Machine Learning Signal Processing - Build ML models classification regression anomaly detection time-series apply signal processing techniques and deploy optimized ML pipelines Azure Cloud DevOps - Deploy workloads on Azure services manage CI CD pipelines implement monitoring and logging and containerize applications using Docker Kubernetes knowledge is a plus Integration Collaboration - Integrate solutions with IoT or industrial systems nice to have and collaborate with cross-functional teams including Product Data Engineering Embedded and QA Mentorship Code Quality - Guide junior developers conduct code reviews and ensure adherence to coding standards and continuous improvement Qualifications for the role Bachelor s or Master s degree in Engineering Computer Science or related field 8 years of hands-on software development experience with Python Strong knowledge of Flask or FastAPI and dashboarding tools like Dash Expertise in Pandas NumPy and scientific computing Experience in algorithm design complex logic and performance optimization Good hands-on experience with machine learning models and ML workflows Working knowledge of signal processing techniques scipy signal filtering FFT feature extraction noise reduction Strong understanding of Azure cloud services and CI CD practices Experience with Docker API development and microservices Familiar with SQL NoSQL databases and efficient data handling Industrial automation automotive traction systems background More about us ABB Motion Services serve customers around the globe with innovative services to maximize performance uptime and energy efficiency throughout the lifetime of electrical motion solutions Electrical motion is applied everywhere in industries cities infrastructure and transportation and is a cornerstone of the energy revolution Our people and culture are the foundation of our success We drive innovations through digitalization and make the difference for our customers and partners every day ABB Motion keeps the world turning while saving energy every day ABBCareers RunwithABB Runwhatrunstheworld 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 https global abb group en careers and apply Please refer to detailed recruitment fraud caution notice using the link https global abb group en careers how-to-apply fraud-warning