Machine Learning & Operations Lead

Stamford, CT, USA Req #2138
Wednesday, January 5, 2022

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 40,000 strong, with more than 50 offices spanning six continents. For information, visit

For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses. 

Machine Learning & Operations Lead
Stamford, CT 

Roles and Responsibilities:
• A key stakeholder for Machine learning Operations and own responsibility to operationalize and monitor machine learning models using high-end tools and technologies.
• Collaborate with data scientists, data engineers, and other key stakeholders to solve complex problems and create unique solutions for MLOps.
• Solid understanding of machine learning fundamentals and familiarity with Machine Learning Development Lifecycle.
• Bring deep expertise in cloud architecture / DevOps to analyze and recommend enterprise-grade solutions for operationalizing AI / ML analytics.
• Develop end-to-end (Data/Dev/ML)Ops pipelines based on an in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.
• Designs and builds pipelines that shorten development cycles for our software and AI/ML systems:
• Build and automate our AI/ML work stream from data analysis, experimentation, operationalization, model training, model inference, model evaluation, and model tuning to visualization (includes versioning, compliance, and validation).
• Improve and maintain our automated CI/CD pipeline.
• Continuously evaluate the latest packages and frameworks in the ML ecosystem.
• Execute best practices in version control and continuous integration/delivery.
• Work well in a fast-paced cross-functional environment.

• >5 years of experience in Data Science / ML / AI and operationalization of models.
• At least 3 years of experience in Python
• At least 2 years of experience in AWS services Sagemaker, EC2, S3, EMR, Lambda Functions, Cloudwatch, etc.
• At least 2 years of experience in orchestrating ML Jobs on Airflow, Step Functions, etc.

• At least 2 years of experience in Production like environment.
• Good to have knowledge in Bigdata Technologies specifically on HDFS, Spark, and Hive.
• Good understanding of AI engineering and MLOps concepts.
• Experience with Machine learning frameworks, libraries, and agile environments.
• Experience in deploying machine learning solutions using DevOps principles.
• Experience in implementing end-to-end machine learning life cycle on cloud preferably in AWS.
• Experience with version control tools such as Git etc.
• Experience with SQL and databases.
• Nice Programming skills.
• Knowledge in one or more of Docker, Jenkins, Kubernetes, and other DevOps tools.
• Familiarity with Kubeflow or MLflow would be plus.
• Outstanding analytical and problem-solving skills.


Please be aware that EXL requires all employees to be vaccinated for COVID-19.  This position will require the successful candidate to obtain and show proof of a vaccination.  EXL is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.

Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy. 

Other details

  • Pay Type Salary
  • Travel Required No
  • Required Education Bachelor’s Degree
Location on Google Maps
  • Stamford, CT, USA