AI Engineer - Dataiku

Greymatter Innovationz · New york city metropolitan area, United States

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 Responsibilities

AI & 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!!!