ML Engineer with Dataiku

Design develop and deploy scalable data and analytics solutions using the Dataiku platform

Build and maintain endtoend data pipelines for data ingestion transformation and preparation

Develop machine learning models and operationalize them using Dataiku DSS

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

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

Implement data quality governance security and compliance standards across projects

Develop reusable workflows automation scripts and data processing components

Optimize data pipelines and machine learning workflows for performance and scalability

Work with structured and unstructured datasets including databases APIs and data lakes

Monitor troubleshoot and improve production data and AI solutions

Collaborate with Data Engineers Data Scientists Architects and business teams in Agile environments

Create technical documentation design specifications and operational runbooks

Support CICD implementation and MLOps best practices for model deployment and monitoring

Mentor junior team members and contribute to technical best practices and innovation initiatives

Stay updated with emerging trends in Dataiku data engineering AIML cloud technologies and advanced analytics