SummaryPosted: Sep 01, 2026Role Number:200681175-0321Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.Are you an enthusiastic Machine Learning Engineer eager to apply your expertise in a fast-paced, innovative tech environment? Join our Global Sourcing & Supply Management (GSSM) Solutions team and help drive data-informed decisions across our supply chain.DescriptionAs a Machine Learning Engineer on our core AI/ML team, you will analyze complex datasets, develop predictive and statistical models, and deliver insights that inform strategy and product direction. You will collaborate closely with business stakeholders, product teams, and data engineers to translate ambiguous questions into structured analyses and practical data-driven solutions. Your work will support experimentation, forecasting, optimization and measurable business impact across the supply chain.ResponsibilitiesDesign, develop, and deploy machine learning models and AI systems for forecasting, optimization, decision-making, and intelligent workflow automationBuild production-ready ML systems, including model inference services, APIs, data pipelines, and scalable ML applicationsDevelop and evaluate ML models using appropriate metrics, validation strategies, experimentation frameworks, and offline evaluationBuild analytical and AI-driven prototypes, including GenAI, LLM, structured reasoning, and Text-to-SQL workflows,



and transition successful approaches into productionDesign and implement scalable model inference services capable of supporting high-volume workloads with strong reliability and performanceDevelop MLOps pipelines for model deployment, monitoring, evaluation, and continuous improvementMonitor model performance, system reliability, latency, and resource utilization in production; identify and resolve performance issuesPartner with business and product teams to identify high-impact AI/ML opportunities and translate ambiguous requirements into scalable ML problem statements and measurable outcomesOptimize models and ML systems for speed, scalability, efficiency, and costCollaborate closely with software engineering and data engineering teams on system design, distributed computing, APIs, and production architectureCommunicate technical trade-offs, system design decisions, model performance, and limitations clearly to technical and non-technical stakeholdersStay current with emerging ML and GenAI techniques, prototype recent approaches, and assess their applicability to supply chain challengesMinimum QualificationsBachelor’s degree in Computer Science, Software Engineering, Electrical Engineering or a related technical field12+ years of industry experience in machine learning engineering,



software engineering or applied machine learningStrong software engineering skills with experience building and deploying production systemsStrong understanding of ML algorithms from an implementation and production perspectivePreferred QualificationsMS or PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related technical fieldStrong Python programming skills; experience with Java orC++ for production systems is a plusExperience with SQL and large-scale data processingExperience with modern ML frameworks such as PyTorch or TensorFlowExperience building and deploying transformer-based models and large language modelsPractical experience with LLM/GenAI applications, including agents, structured reasoning, RAG, or Text-to-SQLExperience designing and operating scalable model inference services and APIsExperience with MLOps, including model deployment, monitoring, evaluation, and production pipelinesExperience with distributed computing and large-scale ML systemsExperience optimizing ML models and systems for performance, latency, scalability, and efficiencyExperience applying ML to forecasting, optimization, or operational decision-making problemsExperience in Supply Chain, Operations, or related domainsStrong system design skills and ability to work across ML, software, and data engineeringAbility to operate independently and influence cross-functional stakeholdersAt Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.Learn about accessibility in Apple’s workplace

📌 Machine Learning Engineer - Global Sourcing & Supply Management (Gssm) Solutions (Bengaluru)
🏢 Apple
📍 Bengaluru