We are seeking a Senior Machine Learning Engineer to support a data science team that is utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.
What you'll do:
- Create frameworks to predict a variety of outcomes in different scenarios
- Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions
- Collaborate with other data scientists and stakeholders on projects
- Develop solutions in Python
- Develop production-grade solutions
- Work in Hadoop, Redshift, and Spark
- Translate business and product questions into analytics projects
- Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights
Qualifications:
- 5-10 years of experience in a data science or machine learning (MLOps) role
- 3+ years of experience with Python in a production environment
- 3+ years building statistical models/evaluating/feature selection in a high-impact role
- Strong experience with AWS, AWS Glue, and SageMaker
- Strong experience with Terraform
- Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing, and deployment
- Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
- Knowledge of statistics and Machine Learning techniques
- Experience with GitHub
- Experience building data pipelines
- Excellent verbal and written communication skills
Preferred:
- Master's degree/PhD in computer science or related field
- Ability to build enterprise templates
- Ability to model dashboards
- Ability to monitor models in production
- Azure DevOps
- Ability to implement best practices.