Manager, Software Engineering (AI/ML)

Hiring near our Stamford, CT Center of Excellence with a flexible environment.

Gartner offers a flexible environment, with remote work that allows associates great flexibility to work from home, and opportunities to connect with colleagues for moments that matter on-site. Candidates that apply should be located within a reasonable proximity to one of Gartner’s Centers of Excellence office locations.

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: 

AI-focused Software Development position responsible for the management, design, and deployment of algorithms and Python based applications to help fulfill our Research & Consulting Delivery strategy.  

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 junior 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 

• Manage formal and informal project communication amongst team and with other project participants using methods appropriate to audience and type of communication 

• Evaluate developers following project completion identifying strengths and areas for development 

What you’ll need: 

6+ years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Ability to provision packages and APIs for production data science code. 

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.