Role overview
About the Role
In this role you will support cross-functional teams in designing and implementing machine learning-based solutions and contribute to Machine Learning Engineering (MLE) internal tools and best practices.
What You’ll Do
- Work with Engineers to integrate Data Science models into customer-facing solutions
- Support model development through Google Cloud Platform (PCP) service enablement and configuration
- Contribute to the roadmap for Data Science and MLE team tools and technology development
- Design and implement monitoring and alerting systems to maintain model performance and integrity
- Work within the Machine Learning Engineering team to develop leverageable toolsets to standardize and streamline model implementations
- Mentor and guide junior machine learning engineers, providing technical expertise and fostering a culture of continuous learning and development
- Think in terms of iterative development, document, and communicate throughout the products' data science lifecycle
- Work closely with Data Scientists to efficiently scale Extract Transform Load (ETL) workflows and models to meet production requirements
- Optimize and fine-tune models to achieve peak performance and accuracy within resource constraints
- Stay up-to-date on GCP services and best practices for Data Science and Machine Learning implementations
- Additional tasks may be assigned
What Skills You Have
Required
- Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
- 3+ years of progressively complex Data Science or analytics experience
- 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
- In-depth knowledge of Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc
- Extensive expertise with CI/CD and IaC best practices
- Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
- Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with Agile/XP software development
- Experience with OGSM approach; strategy development, and execution
Preferred
- Master’s Degree and/or Ph.D.
- Proficiency in Java/Scala or other languages
- Retail experience
- E-commerce experience
What we're looking for
Required
- Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
- 3+ years of progressively complex Data Science or analytics experience
- 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
- In-depth knowledge of Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc
- Extensive expertise with CI/CD and IaC best practices
- Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
- Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with Agile/XP software development
- Experience with OGSM approach; strategy development, and execution
- Master’s Degree and/or Ph.D.
- Proficiency in Java/Scala or other languages
- Retail experience
- E-commerce experience