Lead ML / AI Engineer, Healthcare Analytics

Wellesley, MA, United States

Lead ML / AI Engineer, Healthcare Analytics 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 www.exlservice.com .

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.

Hybrid

Position Summary:

As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.

Key responsibilities:

• Support the deployment of ML/AI pipelines on the platform.

• Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.

• Ability to translate functionality into scalable, tested, and configurable platform architecture and software.

• Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.

• Deliver features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability.

• Innovative thinking and great communication skills.

• Strong ownership of deliverables, with design decisions aligned to scale and industry best practices.

• Provide technical leadership and mentorship to a team of machine learning engineers. Collaborate with cross-functional teams to align ML initiatives with overall business goals.

• Design, implement, and optimize machine learning algorithms and models. Stay abreast of the latest advancements in ML research and apply them to solve complex business problems.

• Architect and implement scalable and efficient machine learning systems. Collaborate with software engineers to integrate ML models into production systems.

• Work closely with data engineers to ensure the availability and quality of data for training and evaluation of machine learning models.

• Develop strategies for deploying machine learning models at scale. Ensure models are integrated into production systems with high reliability and performance.

• Design and conduct experiments to evaluate the performance of machine learning models. Iterate on models based on feedback and evolving business requirements.

Required Qualifications

• 6+ years of experience in analytics domains, and deep understanding of ML operationalization and lifecycle management.

• 5+ years of deploying and monitoring analytical assets in batch/real-time business processes.

• 5+ years of SQL & Python programming experience leveraging strong software development principles.

• Experience in designing and developing AI applications and systems.

• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.)

• Experience with REST API/Microservice development using Python/Java.

• Experience with deployment/scaling of apps on containerized environment (AKS and/or GKE)

• Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark

• Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization.

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 includebonuses, as well as a Paid Time Off policy, and many region specific benefits.

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.

EEO/Minorities/Females/Vets/Disabilities 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 includebonuses, as well as a Paid Time Off policy, and many region specific benefits. 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.

Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).

EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.

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