Introduction: We are seeking extraordinary talent for our Machine Learning and Artificial Intelligence solutions team. We Responsibilities: Collaborate with business partners, product leaders, designers and QA to develop plans for developing and shipping projects / features Collaborate with teams disbursed in multiple locations and cohesively build out the product Establish feature release cadence and engineering roadmaps Participate in software design/architecture, risk mitigation/assessments, and capacity planning. Improve team processes to increase effectiveness, improve product quality, and enhance work/life balance Own end-to-end availability/reliability and performance of Searce products, services and features Be hands-on and willing to roll up your sleeves to support the team as needed Work in a dynamic, fast paced environment Required: 3+ years of experience working on Advance Technology Stack ( Pyhton ) Additionally ability to create solutions using Google's Machine Learning related APIs (Vision, Speech, Translate etc) RESTful API experience mandatory Flask/ Django or web app 2 framework exp required (any web framework) NoSQL/ SQL DB experience (one is must, both is preferred) Docker / Virtualization exp is preferred Git exposure required CI/CD preferred Strong analytical skills and ability to assist team members, inside and outside of engineering, in problem solving Excellent communication and teamwork skills and ability to handle multiple tasks across multiple disciplines Experience working in services company is very strongly preferred Customer interaction experience is a plus Good communication skills is strongly preferred Experience in unit testing, integration testing and stress testing is preferred
WHAT WE ARE LOOKING FOR We are building a world-class engineering team with diverse skills and backgrounds. If you love data, and love solving hard problems, then this opportunity is for you! We are seeking strong software engineers and data scientists with a background in Machine Learning. You will be responsible for designing distributed systems, applying advanced data science techniques while working closely with our infrastructure, quality and product management teams. We value teamwork and collaboration. While we enjoy the never-say-die attitude that members bring to the table every day we also recognize the work-life balance that everyone needs.