AI/ML Engineer

Join Gartner’s dynamic Data Intelligence Platform team as an AI/ML Engineer, where you’ll help shape and implement cutting-edge data solutions. You’ll work at the intersection of data engineering and AI, collaborating with top data scientists and engineers to build robust, scalable infrastructure supporting advanced analytics, personalization, and recommendation engines. This contract role offers exposure to modern cloud technologies, opportunities for continuous learning, and the chance to drive impactful business outcomes., Design and implement high-performance, scalable data architectures and models from the ground up

• Develop and optimize in-application SQL statements for robust data operations
• Ensure database performance, security, availability, and handle upgrades, backup, recovery, and migrations
• Build and automate data pipelines and applications to power analytics and reporting for data science teams
• Integrate and process data from diverse sources, including on-premise databases, APIs, and harvesting tools
• Collaborate with business stakeholders and researchers to deliver solutions for data access, transformation, and reporting needs
• Manage and optimize AWS resources such as EMR and ECS clusters, improving cloud deployment processes
• Automate infrastructure using IaC tools (Terraform), CI/CD (Jenkins), and configuration management
• Implement data governance, access controls, and proactively mitigate security risks
• Continuously evaluate and introduce new cloud technologies to enhance platform capabilities

7-9 years’ experience developing cloud-based data models, ETL pipelines, and infrastructure for analytics and data science

• Strong SQL proficiency and experience with modern relational databases
• Expertise in data modeling, data services, and handling both structured and unstructured data
• Skilled in optimizing complex SQL statements and configuring database engines
• Experience with Spark, Glue, EMR, Kafka, or Kinesis
• Proficiency in programming languages such as Java, Python, Scala
• Deep understanding of data structures, algorithms, and best practices in data engineering
• Familiarity with version control (Git, Subversion) and automated build systems (CI/CD)
• Knowledge of AWS and cloud-based data platforms
• Experience with Infrastructure as Code (Terraform) and TDD/BDD methodologies

Preferred Skills

• Experience with ML model deployment
• Exposure to a variety of database technologies (NoSQL, Graph, Document, Key-Value, Time Series)
• Strong documentation and specification skills, Solution Design and Development of Cloud based data models ETL Pipelines and infrastructure for reporting analytics and data science.

Work remotely from anywhere in the United States with a flexible contract arrangement

• Collaborate with expert teams on impactful projects across cutting-edge technologies
• Access to continuous learning, professional development, and career advancement opportunities
• Be part of a culture that values innovation, ownership, and growth

Ready to drive the future of data intelligence? Submit your resume and a brief cover letter outlining your relevant experience. Gartner welcomes candidates eager to innovate, solve complex challenges, and grow with us.