Senior AI/ML Engineer
Are you a team player? Are you curious to learn? Are you interested in working in meaningful projects? Do you want to work with cutting-edge technology? Are you interested in being part of a team that is working to transform and do things differently? If so, LPL Financial is the place for you!
LPL Financial (Nasdaq: LPLA) was founded on the principle that the firm should work for the advisor, and not the other way around. Today, LPL is a leader* in the markets we serve, supporting more than 18,000 financial advisors, 800 institution-based investment programs and 450 independent RIA firms nationwide. We are steadfast in our commitment to the advisor-centered model and the belief that Americans deserve access to personalized guidance from a financial advisor. At LPL, independence means that advisors have the freedom they deserve to choose the business model, services, and technology resources that allow them to run their perfect practice. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors, so they can take care of their clients.
We are looking for an experienced Sr. AWS AI/ML Engineer to join the Data & Analytics team, a team of data and technology professionals who build and operationalize machine learning models for LPL Financial. The successful candidate will build MLOP solutions using state of the art technologies to implement production grade for successful model deployment
As a Sr. AWS AI/ML Engineer, you will partner with our users and other data science teams to understand their needs to design and build data and machine learning pipelines to support applications and data science projects following software engineering best practices
Refactor code from data scientists for production
Design and develop data and machine learning pipelines to automate data ingestion, model training, data and model monitoring
Build robust data pipelines on Cloud using Airflow, Glue, Spark/EMR, Kinesis, Kafka, Lambda or other technologies
Build sagemaker pipelines to incorporate and automate data and model quality, bias checks and model explainability
Work with data scientists and analytics experts for greater functionality in our machine learning platform.
Execute strategies that inform data design and architecture partnering with enterprise standard
Work across teams to deliver meaningful reference architectures that outline architecture principles and best practices for technology advancement
What are we looking for?
We want strong collaboratorswho can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.
BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience
3+ years of experience of Machine Learning/Deep Learning frameworks, libraries, data structures, and data modeling.
3+ years programming experience in Python, and Spark
1+ years’ experience with AWS
Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments
Experience in CI/CD pipeline and code repositories like GitHub or Bit Bucket
DevOps experience with Terraform
Experience using JIRA and Agile Project Management software
Microsoft SQL Server
Nice to have experience with microservice development, Docker, Kubernetes
Hands-on experience in BI Tools like Tableau, Power BI
At LPL, we believe that objective financial guidance is a fundamental need for everyone. As the nation’s leading independent broker-dealer, we offer an integrated platform of proprietary technology, brokerage, and investment advisor services. We provide you with a work environment that encourages your creativity and growth, a leadership team that is supportive and responsive, and the opportunity to create a career that has no limits, only amazing potential.
We are one team on one mission. We take care of our advisors, so they can take care of their clients.
Because our company is not too big and not too small, you can seize the opportunity to make a real impact. We are committed to supporting workplace equality, and we embrace the different perspectives and backgrounds of our employees.We also care for our communities, and we encourage our employees to do the same. This creates an environment in which you can do your best work.
Want to hear from our employees on what it’s like to work at LPL? Watch this!
We take social responsibility seriously. Learn more here
Want to see info on our benefits? Learn more here
Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card. Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (800) 877-7210.