ML Engineer with Dataiku

MeeBoss is sharing this active opportunity on behalf of the hiring company. This is an expert-level Machine Learning Engineer role focused on designing, developing, and deploying scalable data and analytics solutions using the Dataiku platform. The position involves building end-to-end data pipelines, operationalizing machine learning models, and collaborating with business stakeholders to translate requirements into technical solutions.

Why this role

• Opportunity to work with advanced Dataiku DSS for model operationalization and data engineering.
• Collaborative environment involving Data Engineers, Data Scientists, Architects, and business teams in Agile settings.
• Chance to mentor junior team members and contribute to technical best practices and innovation initiatives.

Responsibilities

• Design, develop, and deploy scalable data and analytics solutions using the Dataiku platform.
• Build and maintain end-to-end 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 GCP 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 CI/CD 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, AI/ML, cloud technologies, and advanced analytics.

Requirements

• 8+ years of experience in machine learning and data engineering.
• Proficiency in Machine Learning Algorithms, Data Preprocessing, and Model Deployment.
• Hands-on experience with TensorFlow and PyTorch.
• Strong background in Natural Language Processing and Feature Engineering.
• Expertise in designing scalable data solutions and operationalizing ML models.

Pay

$60-65/hour

Location: Remote