We are seeking a highly skilled AI and ML Engineer with extensive experience in machine learning (ML), deep learning (DL), natural language processing (NLP), and generative AI (Gen-AI) solutions. The ideal candidate will have a strong background in the insurance domain
Base Compensation Range: 110,000 - 120,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
ResponsibilitiesKey Responsibilities:
- Develop and implement advanced ML and DL models.
- Apply NLP techniques for OCR-based text extraction, document classification, and document summarization.
- Work on large language models (LLMs) and Gen-AI projects.
- Utilize AWS SageMaker and Databricks for model development and deployment.
- Conduct data pre-processing, exploratory data analysis (EDA), and model evaluation.
- Collaborate with cross-functional teams to integrate AI/ML solutions into business processes.
Requirements:
- Proven experience in the insurance domain, specifically in Underwriting and Claims.
- Proficiency in Python programming.
- Prior experience with AWS SageMaker and Databricks.
- Expertise in NLP techniques, including OCR-based text extraction, document classification, and document summarization.
- Experience with LLMs and Gen-AI projects.
bachelors is in data science , engineering or related field
Skills Required
- Proven experience in the insurance domain, specifically underwriting and claims
- Proficiency in Python programming
- Experience with AWS SageMaker
- Experience with Databricks
- Expertise in NLP, including OCR-based text extraction, document classification, and document summarization
- Experience with large language models and generative AI projects
- Bachelor's degree in data science, engineering, or a related field
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
