AI Engineer

Are you looking to take your career to the next level?

Would you like to join the Artificial Intelligence (AI) Engineering team and work on advanced analytics projects that fuel P&G business decisions?

You will work together with Data Science teams to evolve machine learning experiments into products. You will design and deploy solutions using cloud architecture blueprints, support data processing pipelines and operationalize machine learning components.

As a partner in our business, you will have project work and ad hoc requests that require agility and often fast-paced response to business needs.

Responsibilities:

· Working on advanced analytics use cases together with Data Scientists, Analysts, Senior AI Engineers; engaging in proof of concepts and experiments together to deliver new analytical algorithms and applications

· Preparation of data models and quality checks, optimization of analytical solutions at scale

· Designing and developing applications that source data from various systems, programming in Python, shell scripting and SQL

· Deploying solutions in multi-cloud environments and services – in Azure (e.g. Databricks, Azure ML, AKS, ADF) & GCP (e.g. Composer, BigQuery, GKE, Kubeflow)

· Professional IT delivery using DevOps practices, Agile (Jira), use of CI/CD (GitHub Actions), reusability of code and design patterns from internal code libraries

· Operationalize Machine Learning models as integral element of IT solutions & business process.

Qualifications

Qualifications

You should be a hardworking leader and technologist who has graduated with a BS or MS in Business/Management Information Systems and/or Computer Science/Engineering, Programming/Software Development or Operations Research or Statistics or with a proven track record of programming. You should have passion for machine learning, data processing solutions, large scale software engineering and information technology in general.

You need to have demonstrated skills in applied data processing technologies:

Up to 3 years of Analytics, Data Modeling, and Data Provisioning experience (acquisition from various sources, transformation and sharing, processing data)

Python & SQL knowledge

Foundational skills in cloud services and deployment frameworks (Azure and/or GCP)

Knowledge and experience in machine learning algorithms development are advantageous

You also should have:

Strong written and verbal communication skills

Ability to handle and organize many priorities

Ability to work across functions

You can expect:

Responsibilities as of Day 1 – ownership of your project from the beginning

IT Management growth path

Very dynamic working environment, plenty of learning and growth opportunities in AI Engineering

Competitive starting salary and benefits program

Flexible work arrangements

Mentoring programs & training

Who we are:

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

Information Technology (IT) at Procter & Gamble is where business, innovation and technology integrate to create a competitive advantage for P&G. Our mission is clear -- we deliver IT to help P&G win with the over 5 billion consumers we serve worldwide. Our IT professionals are diverse business leaders who apply IT mastery to deliver game-changing, technology-driven business models and capabilities for our 65 iconic, trusted brands.

We commit to provide you with equal opportunities in employment! We value diversity and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.