Senior Software Engineer- Machine Learning/AI (Remote)
About the position Responsibilities • Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide. • Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm. • Consistently achieves results, even under tough circumstances. • Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production. • Takes a broad view when approaching issues; using a global lens. • Learns through successful and failed experiment when tackling new problems. • Actively seeks ways to grow and be challenged using both formal and informal development channels. • Collaborates with other team members in agile processes. • Creates new and better ways for the organization to be successful. • Works with the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable. • Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. • Adapts approach and demeanor in real time to match the shifting demands of different situations. • Relates openly and comfortably with diverse groups of people. • Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions. Requirements • Must be eighteen years of age or older. • Must be legally permitted to work in the United States. • 3 years of relevant work experience. Nice-to-haves • 2-4 years of relevant work experience. • Experience with front end technology such as HTML, CSS, and Javascript/Typescript frameworks. • Experience with an object-oriented programming language (preferably Java). • Experience with Relational or noSQL database technology. • Experience with cloud computing techniques, CI/CD tools, modern software design patterns. • Experience and exposure to Salesforce. • Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML. • Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store. • Experience in a modern scripting language. • Experience with basic statistics and regression algorithms. • Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch. • Experience with security frameworks for user and services authorization and authentication. • Experience with creating and executing unit, functional, destructive and performance tests. • Experience with modern debugging and root cause analysis techniques. • Experience with version control system. Apply tot his job