Job Location
WARSAW DOWNTOWN OFFICE:
Job Description
We are looking for a passionate AI Engineer who is eager to make an impact on their career and take on a new challenge!
With us, you will
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Collaborate with cross-functional teams: Partner with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, integrate, and scale new algorithmic products
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Evaluate new models and technology: Engage in proof of concepts and experiments to assess the efficiency of new models and technologies
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Ensure code quality: Develop high-quality, standard-compliant, and tested code, and refactor code as necessary
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Contribute to code and tool libraries: Contribute code and tools to central re-usable libraries and repositories for enhanced efficiency and collaboration
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Develop data models and pipelines: Design data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures
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Deploy algorithmic products: Deploy algorithmic products across cloud platforms, leveraging cloud-native services effectively
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Manage and automate cloud resources: Implement Infrastructure as Code (IaC) to manage and automate cloud resources efficiently
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Implement best practices: Apply DevOps, DataOps, and MLOps principles in day-to-day work, including developing continuous integration, delivery, and training pipelines
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Ensure operational efficiency: Utilize observability and automation tools to manage operations of algorithmic products across the technology stack
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Contribute to P&G's ecosystem: Participate in strategic efforts to build and maintain P&G's ecosystem of reusable code components, and contribute code to open-source projects following P&G IT policies
Job Qualifications
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Experience with Python
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Familiarity with AI and ML concepts and frameworks
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Experience in data engineering, data science, machine learning operations
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Proven understanding of designing efficient, robust, and automated pipelines for big data
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Strong background in CI/CD pipelines(such as GitHub Actions)
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Familiarity in operating on, and deploying to a cloud environment (such as Azure)What we offer
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Work in an international team with global responsibilities (and Data Science & AI Engineering teams co-located in Warsaw)
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Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)
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Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sports cards, in-office fitness center)
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Internal coaching programs & training
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Flexible working arrangements
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A long-term career with development and growth opportunities
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.
Job Schedule
Full time
Job Number
R000146446
Job Segmentation
Experienced Professionals
Starting Pay / Salary Range
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关于Procter & Gamble

Procter & Gamble
PublicProcter & Gamble is a multinational consumer goods corporation that manufactures and markets a wide range of household and personal care products. The company operates through various segments including fabric and home care, beauty, health care, and baby, feminine and family care.
10,001+
员工数
Cincinnati
总部位置
$386B
企业估值
评价
10条评价
4.0
10条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
4.3
职业发展
2.8
管理层
3.7
75%
推荐率
优点
Excellent benefits and health benefits
Supportive and inclusive team environment
Flexible working hours and work-life balance
缺点
High-pressure and stressful work environment
Limited career advancement opportunities
Demanding work hours during peak seasons
薪资范围
0个数据点
Junior/L3
Junior/L3 · Data Scientist
0份报告
-
年薪总额
基本工资
-
股票
-
奖金
-
面试评价
5条评价
难度
3.0
/ 5
面试流程
1
Application Review
2
Online Assessment
3
HR Screen
4
Hiring Manager Interview
5
Final Round Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Past Experience
Case Study
Problem Solving
最新动态
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