Senior Machine Learning Engineer - Supply Chain Solutions

Apple India Pvt Ltd; Bengaluru; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

Apple India Pvt Ltd is seeking a Senior Machine Learning Engineer to join the Global Sourcing & Supply Management (GSSM) Solutions team. You will analyze complex datasets, build predictive models, and deliver insights for data-driven decisions across our supply chain.

The role requires deep expertise in ML frameworks, large language models, MLOps, and distributed ML systems, with strong collaboration across stakeholders and engineers. Bengaluru-based opportunity in a leading tech environment.

Qualifications

• MS or PhD in CS, EE, Statistics, Math or related field.
• Strong Python programming skills; production Java or C++ a plus.
• Experience with SQL and large-scale data processing.
• Experience with PyTorch or TensorFlow.
• Experience building transformer-based models and LLM applications.
• Experience with MLOps, including deployment, monitoring & pipelines.
• Experience with distributed computing and large-scale ML systems.
• Experience optimizing ML models for performance, latency & scalability.
• Experience applying ML to forecasting, optimization, or operational decisions.
• Experience in Supply Chain or related domains.

Responsibilities

• Analyze complex datasets and develop predictive models for supply chain decisions.
• Collaborate with stakeholders, product teams, and data engineers to translate questions into analyses and data-driven solutions.
• Contribute to experimentation, forecasting, optimization and measurable business impact across the supply chain.
• Design and deploy scalable model inference services and APIs.
• Develop and maintain production ML pipelines with monitoring and evaluation in mind.

Skills

Python

SQL

Transformers

LLM

MLOps

System design

Cross-functional influence

Forecasting/Optimization

Distributed systems

Supply Chain

Education

MS/PhD in CS/EE/Statistics/Math

Bachelor's degree in CS/SE/EE

Tools

PyTorch

TensorFlow

Java

C++

Job description

Machine Learning Engineer - Global Sourcing & Supply Management (GSSM) Solutions 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 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.

Description

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.

Preferred Qualifications

• MS or PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related technical field
• Strong Python programming skills; experience with Java or C++ for production systems is a plus
• Experience with SQL and large-scale data processing
• Experience with modern ML frameworks such as PyTorch or TensorFlow
• Experience building and deploying transformer-based models and large language models
• Practical experience with LLM/GenAI applications, including agents, structured reasoning, RAG, or Text-to-SQL
• Experience designing and operating scalable model inference services and APIs
• Experience with MLOps, including model deployment, monitoring, evaluation, and production pipelines
• Experience with distributed computing and large-scale ML systems
• Experience optimizing ML models and systems for performance, latency, scalability, and efficiency
• Experience applying ML to forecasting, optimization, or operational decision-making problems
• Experience in Supply Chain, Operations, or related domains
• Strong system design skills and ability to work across ML, software, and data engineering
• Ability to operate independently and influence cross-functional stakeholders

Minimum Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering or a related technical field
• 10+ years of industry experience in machine learning engineering, software engineering or applied machine learning
• Strong software engineering skills with experience building and deploying production systems
• Strong understanding of ML algorithms from an implementation and production perspective

Experience Level

Senior Level