AI Engineer - Dataiku
Greymatter Innovationz
Job Description
Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day.
\n \nWe are looking for:
\n \nAI Engineer - Dataiku (5-Day Onsite - NYC)
\nLocation: New York City, NY (5 Days Onsite)
\nDuration: Long Term
\n \nExperience Level: Mid to Senior Level (5+ years of relevant experience)
\n \nAbout the Role
\nWe 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.
\n \nNote: This is a 5-day onsite role based in our NYC office.
\n \nKey Responsibilities
\nAI & ML Development: Design, build, and deploy robust artificial intelligence and machine learning models leveraging Dataiku DSS.
\nWorkflow Automation: Create scalable, efficient, and reusable workflows within Dataiku to streamline data preparation, feature engineering, and model training.
\nData Integration: Seamlessly integrate multiple enterprise data sources into Dataiku pipelines to support advanced analytics and AI initiatives.
\nModel Operationalization (MLOps): Support reliable deployment, version control, and real-time monitoring of AI models in production environments.
\nCollaboration & Enablement: Foster collaboration between data scientists, data engineers, and business analysts by leveraging Dataiku’s unified workspace.
\nGovernance & Maintenance: Ensure data governance, security compliance, and continuous optimization of AI pipelines in our NYC office setup.
\n \nKey Requirements & Qualifications
\nExperience: 5+ years of hands-on experience in data engineering, machine learning engineering, or applied AI.
\nDataiku Expertise: Proven professional experience working with Dataiku (DSS) for building, operationalizing, and managing AI/ML pipelines.
\nTechnical Stack: Strong proficiency in Python, SQL, and working with modern cloud data platforms and databases.
\nMLOps & Deployment: Experience with model monitoring, CI/CD for machine learning, and performance tuning.
\nAnalytical Skills: Strong background in data integration, semantic understanding, and translating business requirements into scalable technical workflows.
\nWork Arrangement: Ability and commitment to work 5 days onsite at our New York City location.
\n \nWe offer:
\nMotivating Work Environment.
\nExcellent Work Culture.
\nHelp you to upgrade yourself to the next level.
\nAnd More!!!
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