Dataiku Engineer

Hi,

Position: ML Engineer with Dataiku

Location: Remote

Job description 1

Design develop and deploy endtoend data analytics and machine learning solutions using Dataiku DSS

Build and maintain scalable data pipelines for data ingestion transformation and integration from multiple sources

Collaborate with business stakeholders to understand requirements and translate them into technical solutions

Develop optimize and automate data workflows using Dataiku visual recipes Python SQL and APIs

Implement machine learning models feature engineering model validation and deployment within Dataiku

Integrate Dataiku with cloud platforms such as Azure AWS or Google Cloud Platform and enterprise data ecosystems

Ensure data quality governance security and compliance across all data processes

Monitor and troubleshoot production workflows models and data pipelines to ensure reliability and performance

Work closely with Data Engineers Data Scientists and Business Analysts to deliver datadriven solutions

Create reusable components plugins and automation frameworks to improve development efficiency

Support MLOps practices including model versioning deployment monitoring and retraining

Develop dashboards reports and analytical assets to support business decisionmaking

Participate in architecture discussions and recommend best practices for Dataiku platform utilization

Mentor junior team members and contribute to technical knowledge sharing within the team

Strong expertise in Dataiku DSS Python SQL ETL Machine Learning Data Modeling Cloud Platforms AzureAWSGoogle Cloud Platform Git APIs CICD MLOps and Data Governance is required

Key Skills Dataiku DSS Python SQL Machine Learning ETL Data Engineering Data Pipelines MLOps Git REST APIs Azure AWS Google Cloud Platform Data Governance Data Visualization Agile Methodologies

Skills

Mandatory Skills : Dataiku