Machine Learning Engineer- GenAI

Experteer Overview In this role, you will shape and execute Apple’s machine learning strategy for supply chain and manufacturing systems, collaborating across functions to build scalable ML solutions. You’ll drive end-to-end projects from problem framing to deployment, perform analyses for stakeholders, and partner with data engineers to deliver BI insights. You will present findings to executives and help lead teams in GenAI initiatives, emphasizing impactful, low-latency ML for manufacturing excellence. Compensation / Benefits * design and implement ML strategy for supply chain and manufacturing systems * build and advance smarter factories through scalable ML solutions * collaborate with cross-functional teams to apply algorithms to large-scale data * deliver end-to-end ML projects from problem framing to deployment * conduct ad-hoc statistical analyses * work with data engineers to produce detailed BI solutions * present analyses and insights to executives * potentially lead and mentor teams (where applicable) Tasks * 3+ years in GenAI applications, ML algorithms, software engineering, and data mining with emphasis on LLMs or LMMs * Master in Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field * experience in GenAI application building with agents and agentic workflows * proficiency with GenAI tools (e.g., Claude Code, Roo Code) * familiarity with LangChain and LlamaIndex for RAG applications and LLM orchestration * knowledge of distributed computing, cloud infrastructure, and orchestration tools (Kubernetes, Apache Airflow, Docker, Conductor, Ray) * understanding of transformer architectures (BERT, GPT, LLaMA) and low-latency inference optimization * ability to present complex ML concepts to non-technical audiences * experience applying ML to manufacturing, testing, or hardware optimization (major plus) * leadership or mentoring experience (a plus) Key requirements *

mentor teams (where applicable) Tasks * 3+ years in GenAI applications, ML algorithms, software engineering, and data mining with emphasis on LLMs or LMMs * Master in Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field * experience in GenAI application building with agents and agentic workflows * proficiency with GenAI tools (e.g., Claude Code, Roo Code) * familiarity with LangChain and LlamaIndex for RAG applications and LLM orchestration * knowledge of distributed computing, cloud infrastructure, and orchestration tools (Kubernetes, Apache Airflow, Docker, Conductor, Ray) * understanding of transformer architectures (BERT, GPT, LLaMA) and low-latency inference optimization * ability to present complex ML concepts to non-technical audiences * experience applying ML to manufacturing, testing, or hardware optimization (major plus) * leadership or mentoring experience (a plus) Key requirements 4 _