Senior AI Engineer
Core
Develop, operationalize, integrate, and scale algorithmic products and data models using Python, SQL, and cloud-native services.
Role type
Senior AI Engineer (MLOps/Infrastructure)
Builds
Algorithmic products, ETL/ELT pipelines, distributed compute architectures, and reusable code libraries.
Domain
Retail/Consumer Goods (P&G) + Cloud Infrastructure & Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Data Modeling, Azure Cloud, Databricks, CI/CD, Terraform, Ansible, DevOps, DataOps, MLOps, Observability
Preferred skills
Agile methodologies, Unit testing, Static code analysis, Logging and monitoring technologies
Technologies
Azure, Databricks, GitHub Actions, Jira, Sonarqube, Logstash, Grafana, Kibana, Terraform, Ansible
Responsibilities
Develop high-quality, standard-compliant, and tested code; Refactor code of others; Contribute code and tools to central re-usable libraries; Develop data models, model features, data quality tests, ETL/ELT pipelines, and distributed compute architectures; Deploy algorithmic products across clouds; Manage and automate cloud resources (IaC); Implement DevOps, DataOps and MLOps principles; Develop continuous integration, delivery, and training pipelines; Leverage observability and automation tools to manage operations.
Seniority
Senior, hands-on IC
