Senior Engineer I - Machine Learning

Description

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW.

As a Engineer, Machine Learning you will work with our AI Solutions team to design, develop, build MLOps workflows and help deploy machine learning models to solve complex business problems. You will help our customers build modern data solutions on the AWS stack.

This position is 100% remote with up to 25% travel required.

Responsibilities

• Under the supervision of Big Data Consultants and Architects, work with multiple clients simultaneously to implement enterprise-wide scalable operations on AWS
• Deploy and monitor machine learning models on AWS using tools such as SageMaker
• Implement machine learning pipelines including data cleaning, training, evaluation and deployment
• Develop models from customer data to meet customer goals
• Write infrastructure as code scripts in CDK or Terraform to help make service deployment more efficient and consistent
• Create data visualizations and reports from the data that has been extracted, transformed and loaded with tool such as Amazon Quicksight
• Collaborate with data scientists, data engineers, and product managers to document requirements and deliver machine learning solutions
• Develop and maintain data pipelines, feature engineering, and model training and deployment framework
• Conduct exploratory data analysis, data preprocessing, and data cleaning
• Perform model evaluation, selection, and optimization
• Implement and maintain automated testing and monitoring for machine learning models in production

Requirements

• Design & implementation experience with distributed applications
• Experience in database architectures and data/MLOps pipeline development
• Ability to work with loading and extracting data from Glue, SQL, DDL, DML commands
• Working knowledge of AWS data technologies, like Sagemake
• MLFlow or Sagemaker MLOps experience
• Working knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar
• Python or R experience
• Working knowledge of AWS cloud computing platforms and services such as Sagemaker, S3, Athena,and Lambda
• Working knowledge of software engineering principles and best practices, including version control, testing, and continuous integration/continuous deployment (CI/CD)
• Ability to handle unstructured, semi-structured data, working in a data lake environment
• Ability to work in an Agile environment
• Working knowledge of software development tools and methodologies
• Presentation skills with a high degree of comfort speaking with IT management, customers, and developers
• AWS Certification (required within 6 months of hire)

We make technology work so people can do great things.

CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive.

CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.

CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, CDW's goal is to get to know you as an applicant and understand your experience, strengths, skills, and qualifications. While AI can help you present yourself more clearly and effectively, the essence of your application should be authentically yours. To learn more, please review CDW's AI Applicant Notice.