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    Job · 18744439

    BENGALURU · FULLTIME

    Machine Learning Engineer

    Apple logo

    Apple

    Bengaluru · onsite · Posted 30d ago

    Sourced fromNaukri
    Undisclosed5–10 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Job Summary
    Imagine 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 theres 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.
    As 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.


    Responsibilities
    • Design, develop, and deploy machine learning models and AI systems for forecasting, optimization, decision-making, and intelligent workflow automation
    • Build production-ready ML systems, including model inference services, APIs, data pipelines, and scalable ML applications
    • Develop and evaluate ML models using appropriate metrics, validation strategies, experimentation frameworks, and offline evaluation
    • Build analytical and AI-driven prototypes, including GenAI, LLM, structured reasoning, and Text-to-SQL workflows, and transition successful approaches into production
    • Design and implement scalable model inference services capable of supporting high-volume workloads with strong reliability and performance
    • Develop MLOps pipelines for model deployment, monitoring, evaluation, and continuous improvement
    • Monitor model performance, system reliability, latency, and resource utilization in production; identify and resolve performance issues
    • Partner with business and product teams to identify high-impact AI/ML opportunities and translate ambiguous requirements into scalable ML problem statements and measurable outcomes
    • Optimize models and ML systems for speed, scalability, efficiency, and cost
    • Collaborate closely with software engineering and data engineering teams on system design, distributed computing, APIs, and production architecture
    • Communicate technical trade-offs, system design decisions, model performance, and limitations clearly to technical and non-technical stakeholders
    • Stay current with emerging ML and GenAI techniques, prototype new approaches, and assess their applicability to supply chain challenges


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    AutomationContinuous improvementPrototypeSQLSupply ChainanalyticalSystem DesignMachine LearningForecasting

    Section · Company

    About Apple

    Apple logo

    Apple

    Consumer Electronics & Appliances

    12.3k+

    employees

    1976

    50 years old

    Cupertino, California

    United States (USA)

    About

    Apple focuses on innovative technology products and practices, enhancing user experiences while promoting sustainability and positive impact on society.

    Industries

    Consumer Electronics & AppliancesInternet

    Employee ratings

    706 reviews

    4.3/ 5

    Culture

    4.2

    Career growth

    3.7

    Work-life

    4.1

    Employees rate it well for

    Salary49Work Culture45Work Environment41Career Growth37Senior Management34

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    Machine Learning Engineer · waiting for your command