Interesting Job Opportunity: Infometry - AI/ML Engineer - Dataiku DSS Projects

Infometry

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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

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.

Required Skills

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.

Preferred

Experience with recommendation systems or optimization models.
Exposure to enterprise or regulated environments

(ref:hirist.tech)

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