Level

Procter & Gamble

Senior AI Engineer

AI in this role

databricks
ml-ops

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

Senior AI Engineer at P&G partners with data scientists, data managers, analysts, infrastructure engineers, and peer AI Engineers to develop, operationalize, integrate, and scale new algorithmic products. Engages in proof-of-concepts and experiments to evaluate new models and technologies. Develops high-quality, standard-compliant, and tested code. Refactors the code of others as necessary. Contributes code and tools to central re-usable libraries and repositories. Develops data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures. Deploys algorithmic products across the clouds, skillfully leveraging cloud-native services. Manages and automates cloud resources (IaC). Implements DevOps, DataOps and MLOps principles in day-to-day work. Develops continuous integration, delivery, and training pipelines. Leverages observability and automation tools to manage operations of algorithmic products across the stack.

Job Qualifications

  • 5+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products

  • Experience in Agile and DevOps methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, unit testing & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)

  • Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, and authentication)

  • Databricks knowledge

  • Logging and monitoring technologies knowledge (depending on the needs, from Logstash to Grafana, Kibana)

  • CI/CD processes knowledge and development using GitHub Actions and GitHub

  • Infrastructure build tools and languages knowledge – Terraform, Ansible

  • Strong written and verbal communication in English

What we offer

  • Responsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginning

  • Dynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance

  • Continuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues. Corporate and functional training will enable you to succeed and develop from day one

  • Industry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainings

  • Big Picture understanding of P&G IT and Product Supply organization and its Services in global multi-functional teams with several locations across continents

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

R000148080

Job Segmentation

Experienced Professionals

How we score this

Senior AI Engineer at Procter & Gamble scores 30 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Ml OpsDatabricks

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Ml Ops and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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