Principal Software Engineer (AI)

About the job

What you’ll do: • Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs. • Lead architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives. • Continuously improve models through experimentation and optimization techniques. • Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing • Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives. • Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. • Create Data Science packages and APIs for use across the organization • Mentor members of the team on effective technical practices and non-technical acumen • Be accountable for the scalability, stability, and business adoption of data science solutions What you’ll need: 8-11 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Demonstrated ability to provision packages and APIs for production data science code in short development cycles. Must have: • Education qualification as graduate or postgraduate degree in Engineering or Data Science is required. • Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. • Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. • Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. • Experience with frameworks to evaluate and compare performance of different GenAI techniques, measuring and improving accuracy and helpfulness of generative responses, implementing observability. • Experience with agentic AI frameworks, RAG, embedding models, vector DBs • Experience deploying applications to cloud platforms such as Azure or AWS.

Requirements

• Machine learning
• Natural language processing
• Generative AI
• Data Science
• APIs

Qualifications

• Engineering
• Data Science

Preferred Technologies

• Machine learning
• Natural language processing
• Generative AI
• Data Science
• APIs

About the company

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories.