Job Description
Logic20/20 is seeking a Machine Learning Engineer to lead data science teams that are 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
- Configure a multi-account MLOps environment
- Collaborate with other data scientists and stakeholders on projects
- Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making
- Develop solutions in R or 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
Must have:
- 5+ years of experience in machine learning with a focus on MLOps
- 3+ years of AWS experience: AWS SageMaker, AWS Glue, etc.
- 5+ years of experience with R or Python, SQL
- Strong experience with Terraform
- Experience building and managing CI/CD pipelines
- Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
- Experience working in an Agile environment
- Knowledge of professional enterprise software development and practices including software lifecycle, best coding practices, version control, architecture, testing and deployment
Preferred:
- Master's degree/PhD in computer science or related field
- Experience with AWS Rekognition, AWS Lake Formation, AWS Ground Truth
- Experience with TensorFlow
- Experience with PyTorch and/or PySpark
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