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# AI Engineer - Dataiku

- **Company:** GREYMATTER INNOVATIONZ LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Databases, Continuous Integration, Data Cleansing, Information Engineering, Data Governance, Data Integration, Monitoring of Systems, Python (Programming Language), Machine Learning, Performance Tuning, SQL Databases, Feature Engineering, Data Management, Machine Learning Operations, Dataiku, Software Version Control
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/2_164766146

## About the Role

Experience Level: Mid to Senior Level (5+ years of relevant experience), Experience: 5+ years of hands-on experience in data engineering, machine learning engineering, or applied AI.

Dataiku Expertise: Proven professional experience working with Dataiku (DSS) for building, operationalizing, and managing AI/ML pipelines.

Technical Stack: Strong proficiency in Python, SQL, and working with modern cloud data platforms and databases.

MLOps & Deployment: Experience with model monitoring, CI/CD for machine learning, and performance tuning.

Analytical Skills: Strong background in data integration, semantic understanding, and translating business requirements into scalable technical workflows.

Work Arrangement: Ability and commitment to work 5 days onsite at our New York City location.

## Description

We are seeking a skilled and collaborative AI Engineer - Dataiku to join our team in New York City. In this role, you will be responsible for developing and operationalizing end-to-end AI and machine learning solutions using the Dataiku platform. You will build reusable workflows, integrate diverse data sources, and ensure reliable model deployment, monitoring, and cross-functional team collaboration., AI & ML Development: Design, build, and deploy robust artificial intelligence and machine learning models leveraging Dataiku DSS.

Workflow Automation: Create scalable, efficient, and reusable workflows within Dataiku to streamline data preparation, feature engineering, and model training.

Data Integration: Seamlessly integrate multiple enterprise data sources into Dataiku pipelines to support advanced analytics and AI initiatives.

Model Operationalization (MLOps): Support reliable deployment, version control, and real-time monitoring of AI models in production environments.

Collaboration & Enablement: Foster collaboration between data scientists, data engineers, and business analysts by leveraging Dataiku's unified workspace.

Governance & Maintenance: Ensure data governance, security compliance, and continuous optimization of AI pipelines in our NYC office setup.