This position is for a Artificial Intelligence (AI) Engineering role to work on sophisticated analytics projects that fuel business decisions in support of the overall IT strategy for P&G, specifically in the Data & Analytics organization.
Such projects require close collaboration 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 of our business, you will have project work and ad hoc requests that require agility and often fast-paced response to business needs.
Operationalize Machine Learning models as integral element of IT solutions & business process.
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
Job Qualifications / Experience :
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 consistent 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 skills in applied data processing technologies :
5+ years of relevant experience
Bachelor’s degree in computer science or similar field
Knowledge and experience in Data Analytics, Data Modeling, and Data Provisioning experience (acquisition / ingestion from various sources, transformation and sharing, processing data)
Knowledge and experience in machine learning algorithm development
Knowledge and experience developing in Python & SQL
Foundational skills in cloud services and deployment frameworks (Azure and / or GCP, IaaS, PaaS and SaaS)
Personal Qualities :
Strong written and verbal communication skills (Spanish and English) Ability to handle and coordinate many priorities Ability to collaborate optimally in global multi-functional teams
What we offer!
We'll give you responsibilities as of Day 1 you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities
You'll have continuous mentorship you will work with hardworking people and receive both formal training as well as day-to-day mentoring from your manager
We offer you to work and be part of a multifaceted and encouraging environment
We promote agility and work / life balance for employees, we value every individual and support initiatives, promoting.
We love flexibility. You can arrange your work schedule based on your personal needs.
We will let you experience true support for work / life effectiveness and your long-term well-being.
We will give you a competitive salary and benefits' package.