AI Forward Deployment Engineer

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    "CorporateDescriptionStr": "<div>\n 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&nbsp;<a href=\"http://www.exlservice.com/\" target=\"_blank\" rel=\"nofollow\">www.exlservice.com</a>.\n</div>\n<div>\n <div>\n  <p class=\"MsoNormal\"><br/></p>\n </div><i>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.</i>\n</div>\n<div>\n</div>",
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    "ExternalQualificationsStr": "<p><strong>Requirements:</strong></p>\n<ul>\n <li>Master’s degree in Computer Science, Computer Engineering, Data Science, Analytics, Mathematics, or a related technical field&nbsp;</li>\n <li>Strong programming skills in one or more languages such as Python, Java, or Scala&nbsp;</li>\n <li>Foundational knowledge of machine learning, artificial intelligence, and/or data engineering concepts&nbsp;</li>\n <li>Exposure to building, testing, or deploying models or data pipelines through academic projects, internships, or research&nbsp;</li>\n <li>Familiarity with modern AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn, or similar)&nbsp;</li>\n <li>Understanding of APIs, system integration, and working with structured and unstructured data&nbsp;</li>\n <li>Strong problem-solving skills with the ability to translate business challenges into technical solutions&nbsp;</li>\n <li>Excellent communication skills and ability to work directly with clients in a professional setting&nbsp;</li>\n <li>Ability to thrive in ambiguous, fast-paced environments and quickly learn new technologies&nbsp;</li>\n <li>Willingness to travel and work on-site with enterprise clients as needed&nbsp;</li>\n</ul>\n<p>&nbsp;</p>\n<p>Preferred Qualifications:</p>\n<ul>\n <li>Exposure to cloud platforms such as AWS, Azure, or Google Cloud&nbsp;</li>\n <li>Experience with LLMs, generative AI, or agent-based workflows&nbsp;</li>\n <li>Knowledge of data engineering tools (e.g., Spark, Databricks, Airflow)&nbsp;</li>\n <li>Prior client-facing experience through internships, consulting projects, or research collaborations&nbsp;</li>\n <li>Understanding of software development best practices (version control, CI/CD, testing)&nbsp;</li>\n</ul>",
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