Job description:
x is alphabets moonshot factory. we are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. our goal: 10x impact on the worlds most intractable problems, not just 10% improvement. we approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup. about the team tidal is a team at x working on a moonshot to protect the ocean and preserve its ability to support life and help feed humanity, sustainably. our initial area of focus is on developing hardware and software technologies that bring greater visibility and understanding of whats happening under the water. learn more about project tidal . about the role as an applied machine learning software engineer at tidal, you will be working alongside other software engineers, perception experts, and research scientists to develop and deploy state-of-the-art methods to create a platform leveraging perception and machine learning to solve humanitys biggest problems from food production to renewable energy to climate change by sustainably utilizing the ocean. your role will be to enable developers to run ml workflows smoothly and efficiently. you will develop sustainable, scalable solutions to ensure the reliability and performance of these ml workflows, improve engineer productivity and ultimately help advance our perception and ml platform. if you love getting tech to work on challenging, real world problems, please apply! how you will make 10x impact work with our customers to understand the problem space, run experiments, collect data, and design novel and breakthrough ml solutions profile ml performance at both model level and system level, identify performance bottlenecks and optimization opportunitiesimprove and streamline large-scale machine learning workflows for training and inference by analyzing, understanding, and fixing bottlenecksenable better component-wise testing of training workflowsautomate data uploadprocessingtrainingevaluatingdeployingoptimizing pipelines and develop monitoring and notification tooling to track statistics of the pipelines, improving debuggability and introspection into these complex workflowsrespond to and resolve emergent problems in production; test ml training pipelines; write software and build automation to prevent problem recurrencekeep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development workengage in capacity planning, quota management, and demand forecasting for ml workflowscollaborate with stakeholder teams to implement and evolve large-scale machine learning infrastructure what you should have bs degree in computer science or a related field, or equivalent practical experiencestrong programming skills in python andor c++expertise in data structures, algorithms and complexity analysis.experience designing, analyzing, and troubleshooting large-scale distributed systems, especially enterprise cloud services (e.g., gcp, aws)experience with ml platforms, solutions, and infrastructure deployed to solve real world problems itd be great if you also had these experience with c++ andor goexperience with tensorflow or pytorchexperience with sql or similar, and parallel data processing pipelines (e.g. flume, apache beam)expertise in architecting and deploying machine learning pipelines at scaleexpertise in getting ml models into productionfamiliarity with state-of-the-art ml models for perceptioncomputer vision taskscustomer-facing experience creating software solutionsms or phd degree in computer science or a related field, or equivalent practical experience

Resume:
<<summaryistqb certified qa test analyst/payments sme with 8 years of experience in testing of programs related to banking and finance (bfs) payments domain proficient with testing of multi-tier web based applications and leading teams across all the phases of software testing life cycle (stlc). and european payments, bacs, chaps, target2, step2 and swift messaging took a career break from april 2016 to april 2018 as relocated to london after marriage and to pursue the passion for traveling holds valid visa to work in uk and immediately available education university of rajasthan,expected in2007––bachelor of engineering:applied electronics and instrumentation-gpa:applied electronics and instrumentationseed infotech ltd.expected in2008––diploma:software testing-gpa:software testingcity university of london,expected in2017––:international finance-gpa:international finance highlightsleading test teams though stlccreating test strategy, test plan, estimations, test summary and completion reportsfunctional testing, system testing, system integration testing sit, user acceptance testing uat, regression testing, end to end testing e2ecomplex sql query writing - sql, oracle, db2expert in coordinating and negotiating with clients, bas and other stake holders placed globallysdlc models agile, v model and waterfalldefect management, tools - almproficient with global pay plus (gpp) and european payments, clearing systems, rtgs, sepa, bacs,chaps, target2, step2, psd2, high value, sdd and sct paymentsswift messaging system (mt103,mt202,202cov,mt900,mt910,mt940,mt942 and mt950) swift messaging system ( mt940, mt950, mt942, bai2, camt53, camt52) and xml messagestools used - hp quality centre (qc), hp alm, /sql, oracle, unix, jira, excel experience carefirst-software system analystwashington.uk 04/2018-presentworking as a volunteer and responsible for testing and researching new cloud- based software applications that company has to use for it and finance department.involved in training the staff from different departments for few new software installed.infosys limited-test lead/payments.india 11/2015- 04/2016payments hub is web based application which corrects and filter swift messages before sending to gpp.client-barclays, london (uk), onshore-offshore model, team size 5 led and mentored test team for all the cycles of functional testing and sit testing created test artifacts -test strategy, test plan, estimations, impact analysis and closure reports by reviewing business requirement and functional design documents handled technical issues that team faced during execution and assisted with all their technical queries co ordinate and negotiated with ba's, onshore client, designers and solution architects placed globally delivered first phase of the project successfully within deadline and minimum live issues acted as payments sme for the project as hold a deep understanding of payment system and swift messaging system exposed to agile/scrum.cognizant technology solutions-senior test analyst.india 04/2011- 10/2015custd is a multi-tier web based eod and intraday customer statement generation system of barclays corporate customers.client - barclays, london (uk), onshore-offshore model , team size 9.managed /performed test preparation, requirement analysis, test scenario creation, test case designing using brd, frd, frsd, irsd documents responsible for test execution of different phases and cycles, performed smoke testing, functional testing, regression testing, system testing, system integration testing, end to end and user acceptance testing uat worked as acting lead, assigning work, monitoring &tracking and reporting the status to clients placed onshore involved in creating test strategy, test plans, estimations, impact analysis, dsr's, wsr's and sign off reports handled production and live issues with precise solutions and very low turnaround time performed etl testing for barclays enterprise middleware bem for swift and xml messages expert with writing complex sql queries for fetching data from multiple tables involved in test automation -selenium. skills agile, , banking, client, clients, designing, etl, xml, finance, , hub, db2, iseb, word, middleware, negotiating, enterprise, /sql, quality, reporting, requirement, researching, scrum, sdlc, sql, strategy, swift, system integration, tables, unix.