Machine Learning Engineer 3-7881

Comcast is a global company that provides comprehensive ad platforms for publishers, advertisers, and media buyers. They are seeking a Machine Learning Engineer to contribute to the development of software and machine learning products in an Agile environment, utilizing various technologies and tools.

Responsibilities:

• Contribute to a team responsible for developing software and machine learning products in an Agile development environment using Python, SQL, relational databases including MySQL, and machine learning tools including TensorFlow, PyTorch, Scikit-learn, and XGBoost
• Use AWS services including AWS managed Airflow, and SageMaker
• Model data using SQL
• Build data warehouse and data access visualization using Looker, Grafana, and API with Python
• Perform code optimization, resiliency, and parallel processing
• Process data using Big Data technologies including Spark and Snowflake
• Contribute to both software engineering and machine learning sides of projects by implementing, refining, and validating machine learning algorithms for products and applications
• Take action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring
• Train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production
• Research, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports
• Create patents, including Application Programming Interfaces (APIs) and other intellectual property
• Test and evaluate solutions presented by various internal and external partners and vendors
• Complete case studies, testing, and reporting
• Design proof of concept solutions and contribute to studies to support future product or application development
• Collaborate with teams outside of immediate work group
• Represent the work team in providing solutions to technical issues associated with assigned projects

Requirements:

• Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Business Analytics, Statistics, or related technical or quantitative field
• one (1) year of experience developing software and machine learning products in an Agile development environment using Python
• experience with SQL
• experience with relational databases (including MySQL, Snowflake, or Teradata)
• experience with any of the following machine learning tools: TensorFlow, PyTorch, Scikit-learn, or XGBoost
• experience using AWS services including SageMaker
• experience modeling data using SQL
• experience working with data warehouses and data access visualizations using API with Python
• experience performing code optimization
• experience processing data using Big Data technologies including Snowflake