Big Data Analytics & Machine Learning Engineer

About Us:

Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 44,500 strong, with more than 50 offices spanning six continents.

Overview:

We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams. In this role, you will handle large enterprise datasets, building robust pipelines and models that power data-driven decision-making.

Key Responsibilities

• Data Pipeline Engineering: Design, build, and maintain scalable data pipelines to process and transform large-scale enterprise datasets.
• ML Implementation: Collaborate closely with Data Scientists to operationalize basic ML models, ensuring they perform efficiently in a distributed computing environment.
• Big Data Management: Utilize Hive for data warehousing and management, ensuring high performance for complex analytical queries.
• Advanced Analytics: Write complex, optimized SQL and PySpark code to extract insights and prepare features for modeling.
• Performance Tuning: Optimize Spark jobs and SQL queries to handle enterprise scale data sets with minimal latency.
• Collaboration: Serve as the technical bridge between data engineering infrastructure and the data science lifecycle.

Required Skills & Qualifications

• Experience: 5–8 years of professional experience in Big Data Engineering or ML Engineering.
• PySpark Mastery: Expert-level proficiency in PySpark
• SQL & Databases: Strong SQL skills for deep-dive analysis and extensive experience working with Hive databases.
• Python Programming: Advanced Python skills, specifically for data science libraries (Pandas, Scikit-learn, NumPy).
• ML Lifecycle: Previous experience working as an ML Engineer, including model deployment, monitoring, and feature engineering.
• Enterprise Scale: Proven track record of handling "messy" enterprise data at scale.
• Familiarity with CI/CD pipelines for ML (MLOps).
• Previous experience in Banking/Capital Markets/Financial Services is required.

Company Overview and Culture

EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 50,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.

To view our total rewards offered click here —> https://www.exlservice.com/us-careers-and-benefits

Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.

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