Why This Role Stands Out
This remote ML Engineer role offers a fantastic opportunity to leverage Dataiku for end-to-end solution development and gain valuable experience in MLOps and cloud integration. You'll thrive here if you're a mid-senior professional passionate about building scalable data pipelines and collaborating to deliver impactful data-driven solutions. Apply now to join a dynamic team and advance your career in machine learning!
Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
2 weeks ago
SQLAWSETLMLOpsMachine LearningAgileAzureGitGoogle CloudPythonREST
Job Description
Position: ML Engineer with Dataiku
Location: Remote
Job description:
- 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
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