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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 CIT 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 you will do - Lead R&D; to design and implement LLM/ML for text extraction, analysis and actionable insights, staying current on LLMs and GenAI. - Develop, fine-tune, ML/LLM models to match customers/buyers with relevant content, optimizing for accuracy, performance, and domain fit. - Own the end-to-end solution lifecycle from rapid prototyping to production, ensuring reliable, scalable integration with existing systems. - Collaborate with Engineering and Product to gather requirements, align the roadmap, and deliver measurable business value. - Communicate results through clear visualizations and reports, mentor junior team members, and promote continuous improvement. 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 skilled experience in software engineering, with a proven track record of delivering solutions in Agile Scrum environments. - Proficiency in Python and a solid understanding of Object-Oriented Programming (OOP) principles. - Familiarity with AWS ML/LLM tools and best practices for deploying and managing scalable machine learning solutions in the cloud. - Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. - Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. - 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. 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 - Self-starter, with a demonstrated ability to learn beyond formal training with a strong aptitude for delivering quality products - Passionate about learning new technologies Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. 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 CIT 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 you will do - Lead R&D; to design and implement LLM/ML for text extraction, analysis and actionable insights, staying current on LLMs and GenAI. - Develop, fine-tune, ML/LLM models to match customers/buyers with relevant content, optimizing for accuracy, performance, and domain fit. - Own the end-to-end solution lifecycle from rapid prototyping to production, ensuring reliable, scalable integration with existing systems. - Collaborate with Engineering and Product to gather requirements, align the roadmap, and deliver measurable business value. - Communicate results through clear visualizations and reports, mentor junior team members, and promote continuous improvement. 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 skilled experience in software engineering, with a proven track recor
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