**What you’ll do** * Productionize machine learning models by building performant data transformations, storage, and pipelines. * Demonstrate effective, respectful, and honest communication when collaborating with colleagues including a cross\-functional team consisting of QA, Operations, and other team members. * Apply development and testing best practices and demonstrate skilled software craftsmanship to produce maintainable, scalable, and quality solutions. * Contribute to all phases of product development and delivery from Analysis \& Design all the way through to successful Deployment. * Deliver on company initiatives and projects prioritized for your team and support long term technical vision. **What experience you need** * BS degree in a STEM major or equivalent job experience required; Master’s Degree preferred; AI/ML coursework preferred * 2\-5 years of related experience * Experience with ML models design, development or deployment * Experience with cloud platforms and distributed computing frameworks * Cloud Certification Strongly Preferred * 2\+ years experience working with software design and **Java, Python and Javascript programming languages** * 2\+ years experience with software build management tools like **Maven or Gradle** * 2\+ years experience with HTML, CSS and frontend/web development * 2\+ years experience with software testing, performance, and quality engineering techniques and strategies * 2\+ years experience with Cloud technology: GCP, AWS, or Azure * Architect \& Develop end\-to\-end data pipelines (batch \& streaming) on GCP using **Dataflow, Pub/Sub, Dataproc, BigQuery, and Cloud Storage** * Design \& build microservices\-based data applications in **Java and Python, with clear APIs and containerized deployments** * Integrate AI/ML models into production pipelines and microservices, collaborating with ML teams to deploy **Tensorflow/PyTorch models via Vertex AI or AI Platform** **What could set you apart** An ability to demonstrate successful performance utilizing our Success Profile skills, including: * *Application Development/Programming* \- Proficiency in Python; Experience with data processing and machine learning libraries (pandas, numpy, scipy, sklearn, tensorflow, pytorch, etc.) * *Artificial Intelligence* \- Understand how to deploy machine learning models to production systems, including containerization (Docker) and cloud\-based deployment * *Big Data Analytics* \- Understand big data analysis, including data cleaning, data transformation and data visualization * *Cloud Computing* \- Understand big data processing frameworks and various database technologies * *Collaboration* \- Excellent verbal and written communication skills to document and present findings clearly * *Mathematics* \- Understand advanced statistical concepts and machine learning algorithms (Logistic Regression, Xgboost, Neural Networks, etc.) * *Technical Leadership* \- Demonstrates an ability to provide guidance to colleagues