2 months ago
Bengaluru, IndiaMid Level
Responsibilities
- Analyze complex datasets and develop predictive and statistical models for supply-chain decision-making.
- Translate ambiguous business and stakeholder questions into structured analyses and practical data-driven solutions.
- Build and deploy production machine learning systems, scalable model inference services, APIs, and ML pipelines.
- Apply machine learning to forecasting, optimization, experimentation, and operational decision-making problems.
- Develop and operate large-scale ML systems, including model deployment, monitoring, evaluation, and performance optimization.
- Collaborate with business stakeholders, product teams, and data engineers to influence strategy and product direction.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.
- At least four years of industry experience in machine learning engineering, software engineering, or applied machine learning.
- Strong software engineering skills building and deploying production systems.
- Strong understanding of machine learning algorithms from implementation and production perspectives.
- Strong Python skills; Java or C++ experience is a plus.
- Experience with SQL, large-scale data processing, modern ML frameworks, distributed computing, and scalable ML systems.
- Experience building and deploying transformer-based models and large language models.
- Experience with LLM or GenAI applications such as agents, structured reasoning, RAG, or Text-to-SQL.
- Experience designing and operating model inference services and APIs, and with MLOps practices including deployment, monitoring, evaluation, and production pipelines.
- Experience optimizing ML models and systems for performance, latency, scalability, and efficiency.
- Strong system design skills and ability to work across ML, software, and data engineering.
- Ability to work independently and influence cross-functional stakeholders.
- A master’s or PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related technical field is preferred.
- Experience applying ML to forecasting, optimization, or operational decision-making and experience in supply chain or operations are preferred.
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.