Tech Lead Machine Learning Engineer - Finance Digital TransformationApple • Austin, Texas, United States

Jetzt Bewerben

Tech Lead Machine Learning Engineer - Finance Digital Transformation

Apple

Austin, Texas, United States

Austin, Texas, United States

Jetzt Bewerben

Über

Tech Lead Machine Learning Engineer - Finance Digital Transformation Austin, Texas, United States Corporate Functions Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and curiosity to your job and there's no telling what you could accomplish. Do you love thinking analytically? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders.As a machine learning engineer in Finance, you’ll play an integral role in building the data foundations, services, and platforms used for delivering insights and automating decisions for Apple’s Finance organization. Description This role will be the technical lead for product cost, supporting our Operations Finance organization. You will work as part of a multi-discipline engineering pod with data and software engineers, product managers and program managers. Your ability to learn business processes and instill strong engineering practices into team machine learning processes will be critical. A key part of your role will be to operationalize AI solutions, bridging the gap between prototype and production to rapidly and reliably deliver value to the Finance organization. Responsibilities Technical lead overseeing solution design and engineers Partner with teammates and share expertise across teams Explain technical concepts to non-technical audiences Collaborate effectively with cross-functional teams Operationalize AI solutions, bridging the gap between prototype and production Instill strong engineering practices into team machine learning processes Rapidly and reliably deliver value to the Finance organization Minimum Qualifications Seven or more years of experience building data driven solutions Experience leading engineers and collaborating cross-functionally, translating technical concepts for diverse audiences and converting ideas into solutions with strong process and data understanding Experience building data models and scalable pipelines using SQL and big data technologies, with expertise in data ops best practices Experience developing in Python while following DRY principles, modularity, and testing standards, with version control, code review. Experience with front end (.js experience) Experience applying ML algorithms for regression, classification, and anomaly detection; build generative AI and agentic solutions; implement MLOps/LLMOps including CI/CD, drift monitoring, and cloud platforms (AWS, GCP, Azure) Preferred Qualifications Previous experience working in a corporate finance, accounting, or supply chain organization Understanding of or ability to learn financial statements, P&L impact, high level accounting principles, SOX and tax compliance and month-end close process Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Apple accepts applications to this posting on an ongoing basis.
#J-18808-Ljbffr

Austin, Texas, United States

Sprachkenntnisse

English

Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.

Jetzt Bewerben