About Gartner IT:
Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team.
About this role:
What you’ll do:
- Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and service to support our associates using ML, NLP and Gen AI
- Be able to transform unstructured raw data in to formats suitable for modeling
- Demonstrate a deep knowledge of and ability to operationalize, leading data technologies and best practices
- Maintain project plans, clean code, and well-written documentation
- Be able to work in teams and collaborate with stakeholders to define requirements
- Be able to work in a globally distributed team in an Agile/Scrum approachWhat you’ll need:
2-4 years of experience in classic AI techniques and at least 2 year in generative AI techniques. Demonstrated ability to run short development cycles and solid grasp of building software in a cooperative team setting.
Must have:
- Knowledge of Machine learning models and techniques like NLP, BERT, Transformers, Deep learning.
- Experience with agentic AI frameworks, RAG, embedding models, vector dbs, Langgraph, MCP.
- Experience working with Python libraries like Pandas, Scikit-Learn, Numpy, and Scipy is required.- Familiarity with AWS Bedrock/Azure AI/Databricks Services.
- Solid grasp of building software in a collaborative team setting - use of agile scrum and tools like Jira / GitHub.
- Demonstrated ability to run short development cycle.
- Excellent written, verbal, and interpersonal communication skills with the ability to present technical information in a clear and concise manner to IT Leaders and business stakeholders.