AI Engineer
Core
Design, develop, integrate, and scale algorithmic products and data pipelines using Python and cloud-native services.
Role type
AI Engineer (MLOps & Data Engineering)
Builds
Algorithmic products, data models, ETL/ELT pipelines, and cloud infrastructure
Domain
Consumer Goods / AI & Machine Learning
Deliverable
production ML models | product features | infrastructure
Required skills
Python, AI/ML concepts, data engineering, MLOps, CI/CD pipelines, cloud environment operations, distributed compute architecture, Infrastructure as Code (IaC), observability tools
Preferred skills
DevOps, DataOps, open-source contribution, strategic code ecosystem building
Technologies
Python, GitHub Actions, Azure
Responsibilities
Collaborate with cross-functional teams to develop and scale algorithmic products; Evaluate new models and technologies through proof of concepts; Develop data models, features, and distributed compute architectures; Deploy algorithmic products across cloud platforms; Manage and automate cloud resources using IaC; Implement DevOps, DataOps, and MLOps principles; Ensure operational efficiency through observability and automation tools.
Seniority
Experienced Professionals
