AI/ML Engineer

Join Gartner’s fast-paced Data Intelligence Platform team as an AI/ML Engineer and drive the development of cutting-edge cloud-based data solutions. Collaborate with dynamic cross-functional teams to build scalable data models, design robust ETL pipelines, and empower data science and analytics capabilities. Propel your career by working on diverse technologies, all while making a significant impact on data-driven decision-making., Architect, design, and implement high-performance, scalable, and secure cloud data solutions

• Develop and optimize complex SQL data models from scratch for analytics and reporting
• Build, automate, and deploy robust data pipelines supporting data scientists and researchers
• Integrate diverse data sources including on-prem databases, APIs, and harvesting tools
• Collaborate with business units and data science teams to translate requirements into actionable solutions
• Manage and optimize AWS resources (EMR, ECS) and enhance deployment processes
• Drive automation using Infrastructure as Code (Terraform) and CI/CD tools (Jenkins)
• Implement data governance, access controls, and security best practices
• Troubleshoot database and infrastructure issues, ensuring optimal performance and reliability
• Promote adoption of new cloud technologies to increase efficiency and reduce operational costs

7-9 years’ experience in solution design and development of cloud-based data models, ETL pipelines, and analytics infrastructure

• Proficiency in SQL and modern relational databases
• Strong hands-on experience with AWS (EMR, S3, ECS), Spark, Glue, Apache Kafka/Kinesis
• Advanced skills in data modeling, data services, and infrastructure for reporting and data science
• Programming knowledge in Java, Python, Scala
• Familiarity with version control (Git, Subversion) and automated build systems (CI/CD)
• Experience with both structured and unstructured data
• Solid understanding of data structures, algorithms, and database optimization
• Knowledge of best practices in database management and data governance

Preferred Skills

• Experience with NoSQL, Graph, Document, Key-Value, and Time Series databases
• Familiarity with ML model deployment and TDD/BDD methodologies
• Strong interest in continuous learning and skill development in software frameworks and emerging technologies, Solution Design and Development of Cloud based data models ETL Pipelines and infrastructure for reporting analytics and data science.

Collaborate in a supportive, innovative, and growth-oriented work environment

• Access to ongoing professional development and learning opportunities
• Competitive compensation, comprehensive health benefits, and 401(k) matching
• Flexible work arrangements and employee wellness programs