Senior Software Engineer (MLE)

Company Overview

Job Overview

Come join the Virtual Expert Platform as a "Principal Software Engineer".Virtual Expert platform will provide a set of capabilities that include, Chat, Telephony, Video, co-browsing, appointments, secure document sharing and storage, Intelligent routing and matching that allows our customers and experts to seamlessly collaborate with the highest level of trust, ease of usage, world class availability and quality, flexibility and have an enjoyable experience as we help them Power towards their Prosperity

Responsibilities

Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
• Collaborates with stakeholders to define success criteria and implement ML model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
• Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
• Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
• Communicates with partners to ensure successful delivery and integration of DS solutions.

Qualifications

BE or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.).
• Experience in modern advanced analytical tools and programming languages such as R or Python with scikit-learn.
• Efficient in SQL, Hive, or SparkSQL, etc.
• Comfortable in Linux environment
• Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: