Lead Software Engineer- NLP, Gen AI

About this role:

AI-focused Software Development position responsible for the architecture, implementation, 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

What you’ll need:

7-9 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.

• Experience building Generative AI and Agentic AI solutions using LangChain, LangGraph, Langfuse, RAG, and prompt engineering.

• 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.

• Demonstrated ability to translate quantitative analysis into actionable business strategies.

• Ability to work collaboratively across business, data science and technical stakeholders.

Who you are

• Graduate/Postgraduate in BE/B tech, ME/MTech or MCA are preferred.

• Excellent communication and prioritization skills.

• Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment.

• Owns success – Takes responsibility for successful delivery of the solutions.

• Ardent desire to improve upon their skills in software development, frameworks, and technologies.

Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles.

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Who are we?

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 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

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