Job Information
Procter & Gamble Senior AI Engineer (Azure) in Warsaw, Poland
Job Location
Warsaw
Job Description
Ref. WAW_DA/DAEN/EXP
Location: Poland - Warsaw - Prosta 20
P&G has declared the Advance Analytics & Big Data as a key strategy and is being designing and managing truly modern, scalable Big Data applications. At the same time, P&G is broadly using Cloud platform to host scalable and fully automated solutions based on clusters and serverless cloud services powered by P&G Big Data and Analytics and Artificial Intelligence Services.
Would you like to use your technical mastery to design and manage Big Data applications? Do you want to work in a team where your efforts will fuel P&G business?
If so, this position is perfect for you. We are looking for AI Engineers to accelerate automation and increase effectiveness of our outstanding Data Science group and lead Machine Learning Operationalization in our business.
You need to be dedicated and able to source and develop data models that will be used for advanced analytics. You will design and build scalable and automated solutions both in traditional cloud-based clusters and as server-less.
You will work in partnership with data analysts to understand use cases, data needs, and outcome objectives.
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:
Works on advanced analytics use cases together with Data Scientists, Analysts, peer AI Engineers; engages in proof of concepts and experiments together to deliver new analytical algorithms and applications
Prepares data models and feature quality checks, optimizes analytical solutions at scale
Participates in strategic effort to build and maintain P&G ecosystem of reusable code components through validating code quality, leading development & integration process and making crucial decisions on distribution strategy
Continuously evaluates and recommends the best technologies for implementation of ML/AI software in collaboration with the Data Science team
Provides development governance, direction and consultations to business and engineering teams
Cooperates with the Data Science, Data Management, Platform and InfoSecurity teams on end-to-end AI and advanced analytics solutions
Influences stakeholders across the organization (decision makers, IT project teams, business partners, vendors) to promote the established software development direction
Deploys solutions in multi-cloud environments and services – in Azure (e.g. Databricks, Azure ML, AKS, ADF) and / or in GCP (e.g. Composer, BigQuery, GKE, Kubeflow)
Operates according to DevOps practices, Agile (Jira), uses CI/CD (GitHub Actions), increases reusability of code and design patterns from internal code libraries
Operationalizes Machine Learning models as integral element of IT solutions & business process
Job 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 proven track of record from programming areas.
You need to have demonstrated skills in applied Big Data technologies – e.g.:
Create (design/code) advanced ETL and analytic applications operating on high volume of data
Design/build database/data warehouse solutions to support BI processes. Data Mining, Data Modeling, and Data Provisioning (acquisition from various sources, transformation and sharing)
Create ML/AI solutions to support Data Engineering and operations team in self-healing systems, outage prevention or data quality
Python language for manipulating data
Solid understanding of Software Development concepts (e.g., OOP, TDD, SOLID, Unit/Integration testing, Encapsulation, Interfaces design, Software integration, Software Development Lifecycle)
Big Data technologies (Hive, Impala) and NoSQL databases
SQL, Linux Shell Scripting
Cloud services frameworks, Azure (Databricks)
Experience in Agile, CI/CD and DEVOPS methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions / Azure Devops / Jenkins, unit testing (e.g. PyTest) & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)
You also should have:
Strong written and verbal English communication skills to influence others
Demonstrated use of data and BI tools
Ability to handle multiple priorities
Ability to work collaboratively across functions and organize work
You can expect:
Flexible work arrangement including 100% work from home set-up
Competitive starting salary and benefits program (private health care, life insurance, PG stock options, saving plans, lunch subsidy)
P&G Dynamic Living programs (sport cards, in-office fitness centre)
Regular salary increases and possible promotions - all in line with your results and performance
Flexible work arrangements
Mentoring programs & training
Work in the industry-leading and recognized AI organization
Part of a truly global ecosystem – opportunity to interact with other global teams both remotely and in person (business travel)
Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI
Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.
Job Schedule
Full time
Job Number
R000105967
Job Segmentation
Experienced Professionals (Job Segmentation)
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 talented 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.
Procter & Gamble
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