Lead Software Engineer - ML + AWS

About the role

You will have a vital role in developing complex solutions and deploying transformative data products. You will work in a team responsible for building Analytical insights, recommendation engines and boutique algorithms. You will identify new areas to apply data science to improve business performance. As a digital marketplace with millions of reviews and insights from our clients, there are limitless opportunities to apply your skills in data science. You will cover a broad and evolving set of responsibilities as you build data science capabilities at RCD – versatility, adaptability, and self-sufficiency will be critical to success. As a member of the Gartner family, you will have access to industry-leading research on analytics and data science solutions to help you deliver more engaging and relevant content for software buyers and improve the volume and quality of buyer leads for software sellers. 

What will you do:

Research & Development

• Research, design, and implement advanced machine learning (ML) and data algorithms, with a focus on analyzing text data and extracting actionable insights.

• Stay current with the latest advancements in large language models (LLMs), generative AI (GenAI), and related technology trends to ensure the adoption of cutting-edge techniques.

ML Models Development & Optimization

• Build and deploy ML models that facilitate effective matching of buyers to relevant content, enhancing the buyer’s journey.

• Fine-tune pre-trained language models for specific business use cases, optimizing for accuracy, performance, and domain relevance.

End-to-End Solution Delivery

• Lead the end-to-end development lifecycle of ML solutions, from rapid prototyping to full-scale productization.

• Ensure seamless integration of ML solutions into existing systems and workflows, maintaining high standards of reliability and scalability.

Collaboration & Stakeholder Engagement

• Work closely with Engineering and Product Management teams to align on and execute the data science roadmap.

• Gather and analyze requirements from stakeholders, ensuring solutions are tailored to business needs and deliver measurable value.

Data Infrastructure & Solution Design

• Play a hands-on role in the design and implementation of robust data warehousing solutions to support scalable analytics and ML initiatives.

• Ensure data quality, integrity, and security throughout the data lifecycle.

Agile Delivery & Continuous Improvement

• Participate in Agile Scrum ceremonies and processes, driving the iterative delivery of high-quality ML solutions.

• Lead efforts in testing, validation, and post-rollout continuous improvement to maximize business impact and solution effectiveness.

What you’ll need

Bachelor’s degree in computer science, Information Systems, or a related field, or equivalent hands-on experience in software development.

• 6-8 years of professional experience in machine learning models, with hands-on experience working with AWS cloud services and Cassandra databases.

• Proficiency in Python and a solid understanding of Object-Oriented Programming (OOP) principles

• Familiarity with AWS ML tools and best practices for deploying and managing scalable machine learning solutions in the cloud.

Who you are:

• A strong, passionate, empathetic engineer, who can work is able to work collaboratively with senior leadership, peers, and project team to deliver solutions on time, within budget, keeping the morale high

• Proficiency in project tracking tools like Jira for effective project management and delivery tracking.

• Strong ability to interpret and manage client expectations, proactively identifying and resolving issues that could impact project delivery.

• Excellent interpersonal skills with a proven ability to work effectively within a matrixed and distributed team environment.

• Demonstrated problem-solving skills and the ability to work both independently and collaboratively in a fast-paced setting.

• Exceptional organizational and analytical skills, with keen attention to detail and the ability to maintain a strategic, big-picture perspective.

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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 insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 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 sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. 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.

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.

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