Interesting Job Opportunity: Infometry - AI/ML Engineer - Dataiku DSS Projects
Actively Reviewing the ApplicationsInfometry Inc
4–8 years
Posted 2 days ago
•
Apply by June 11, 2026
Job Description
Description
Role : ML Engineer
EXP : 4-8yrs
Job Summary
We are looking for a Dynamic Targeting AI/ML Engineer with 48 years of experience to design, build, and operationalize production-grade ML pipelines across global markets. The role focuses on developing standardized, reusable workflows using Dataiku DSS, Python, containerized environments, and modern MLOps practices.
Key Responsibilities
Role : ML Engineer
EXP : 4-8yrs
Job Summary
We are looking for a Dynamic Targeting AI/ML Engineer with 48 years of experience to design, build, and operationalize production-grade ML pipelines across global markets. The role focuses on developing standardized, reusable workflows using Dataiku DSS, Python, containerized environments, and modern MLOps practices.
Key Responsibilities
- Design and maintain Dataiku DSS projects across DEV/PROD environments.
- Build and deploy scalable Python-based ML pipelines.
- Containerize ML workloads (Docker) for reproducibility and cross-market consistency.
- Implement model lifecycle management including versioning, monitoring, and QA validation.
- Enable localization and parameterization of ML pipelines for multiple markets.
- Contribute to Git-based workflows, CI/CD pipelines, and code quality standards.
- Collaborate with data science, product, and platform teams to ensure reliable model deployment.
- Strong Python engineering for data & ML pipelines.
- Hands-on experience with Dataiku DSS.
- Experience with Docker/containerized ML execution.
- Solid understanding of MLOps, model lifecycle, and monitoring.
- Experience with Git/GitHub and CI workflows.
- Experience with recommendation systems or optimization models.
- Exposure to enterprise or regulated environments
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