Job Description

partner closely with Product, Sales, Marketing, and Engineering teams to apply cutting edge Gen AI tools and techniques, along with advanced analytics to solve complex problems across prospecting, existing customer, sales and data journeys. This role focuses on identifying customer intent, improving decision-making and boosting sales productivity by focusing on generating insights embedded in the sales and customer workflows. This role requires deep technical judgment, hands-on modeling experience, and the ability to translate complex customer, sales and behavioral data into scalable machine learning and LLM driven solutions…

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Required Skills & Qualifications

• PhD-level candidate with strong expertise across analytics and advanced AI/ML and LLM techniques or a Master’s candidate with at least 3 years of work experience in Generative AI/ Advanced ML
• Strong proficiency in Python and SQL, with the ability to implement, test, and iterate on ML / LLM-based solutions efficiently.
• An expert in LLM including prompt engineering, creation of evaluation datasets, understanding LLM capabilities and limitations, and familiarity with LLM performance metrics.
• Knowledge of how to automate or fast track the prompt engineering process via latest techniques (Reinforcement Learning).
• Familiarity using contemporary LLM frameworks and tooling such as LangChain and proven experience executing LLM / GenAI use cases in practical settings, such as prompt engineering, retrieval-augmented generation (RAG), and integration with data pipelines or downstream applications.
• Strong execution capability: Execution-oriented mindset with the ability to translate business questions into working, deployable ML solutions, prioritizing speed, correctness, and practical impact.
• Experience working with modern data and ML tooling, and comfort operating in fast-moving, cross-functional environments.
• Strong analytical and problem-solving skills, with a high level of reliability and accountability in delivering assigned work independently and on schedule.

Nice to Have:

• Experience with reinforcement learning, fine-tuning, or/and lightweight RL-based approaches applied to LLMs or related models is a strong plus.
• Familiarity with LLM agent design patterns, including debugging, monitoring, or iterating on multi-step or long-running executions in real-world environments is a plus.
• Some research or exploratory experience (e.g., prototyping, experimenting with new techniques, reading and applying recent work), while maintaining a strong focus on execution and delivery, is a plus.

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.