Generative AI specialist

Company Description EXL is a global digital operations and analytics company that partners with organizations to transform how they use data, AI, and digital solutions to drive better business decisions. The company focuses on understanding each client’s unique needs, culture, goals, and technology environment to design tailored, outcome-driven solutions. EXL leverages expertise in transformation, data science, analytics, and change management to improve efficiency, strengthen customer relationships, and enhance revenue growth. Rather than relying on large, rigid platform overhauls, EXL works across the value chain to integrate strategies that deliver measurable impact and sustainable competitive advantage. For more information, visit www.exlservice.com.

Role Description This is a full-time remote role for a Generative AI Specialist at EXL. The specialist will design, build, and evaluate generative AI solutions that support clients’ digital transformation and decision-making processes. Daily responsibilities include developing and fine-tuning models, creating prompts and workflows, integrating AI capabilities into existing systems, and ensuring outputs are accurate, safe, and aligned with business goals. The role involves collaborating with data science, engineering, and business teams to gather requirements, experiment with new techniques, and translate complex AI concepts into practical solutions. The specialist will also document best practices, monitor performance, and identify opportunities to scale generative AI across multiple use cases.

Qualifications

• Strong foundation in machine learning and AI, including experience with generative models (e.g., large language models, diffusion models, transformer-based architectures).
• Proficiency in programming and data tools, such as Python, relevant ML frameworks (e.g., TensorFlow, PyTorch), and modern data processing libraries.
• Experience in prompt engineering, model fine-tuning, and evaluation of generative AI outputs for quality, safety, and bias mitigation.
• Knowledge of cloud platforms and MLOps practices for deploying, monitoring, and scaling AI solutions (e.g., AWS, Azure, GCP, CI/CD pipelines).
• Ability to translate business requirements into technical solutions, with strong analytical, problem-solving, and communication skills.
• Familiarity with responsible AI principles, data privacy, security, and regulatory considerations related to AI deployments.
• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Experience collaborating in cross-functional, remote teams and working with stakeholders from both technical and non-technical backgrounds.