Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day. We are looking for: AI Engineer - Dataiku (5-Day Onsite - NYC)
Location: New York City, NY (5 Days Onsite)
Duration: Long Term
Experience Level: Mid to Senior Level (5+ years of relevant experience)
About the Role:
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.
Note:
This is a 5-day onsite role based in our NYC office.
Key ResponsibilitiesAI & 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.
Key Requirements & Qualifications
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. We offer: Motivating Work Environment. Excellent Work Culture. Help you to upgrade yourself to the next level. And More!!!
