Machine Learning Engineer II - Backend

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. About the Role As a Machine Learning Engineer at InMobi, you will be instrumental in designing, developing, deploying, and maintaining cutting-edge ML systems that power our product experiences. We're looking for someone with a passion for elegant problem-solving, rapid experimentation, and owning end-to-end machine learning workflows. You will work closely with data scientists and cross-functional teams to build robust data pipelines, scalable platforms, and production-ready ML services. Key Responsibilities • Model Development & Deployment • Design, train, and deploy machine learning models with a strong focus on fast, reliable • Build APIs and microservices to serve ML models at • Feature development & Engineering • Design & deliver asks on backend features & efficiently deliver • Work closely with the analytics, architects & PM to deliver features asks as per • Identify solutions that can help us improve scalability, minimize bugs and reduce cost • Understanding of when to escalate questions/issues that arise during development • Able to efficiently diagnose bugs and issues • Familiar with various design and architectural patterns • Pipeline & Infrastructure • Develop and maintain data ingestion, preprocessing, and model training • Deploy scalable data and model solutions that improve efficiency across ML • Collaboration & Integration • Define and execute end-to-end ML solutions from ideation to • Monitoring & Research • Monitor model performance in production, using statistical methods to ensure • Ownership & Delivery • Lead or contribute to POCs and full-scale ML feature • Manage project deadlines and deliverables in an agile Basic Qualifications • Bachelor's degree with 4+ years OR Master's degree with 3+ years in Computer Science, Machine Learning, Data Science, or related • Proven experience in developing and deploying ML models in • Strong proficiency in Python and ML libraries like TensorFlow, PyTorch, or scikit-learn, spark, java & distributed • Understanding of statistical methods and hypothesis • Comfortable working with structured and unstructured • Experience working in collaborative, cross-functional • Loves to code and learn new concept