GEP Worldwide

We are looking to hire experienced Dot Net Full Stack professionals for our product SMART by GEP. 

Refer the description below and if it matches with your skillset.

P.N. - you will have to visit GEP campus(Hyderabad) on August 3rd 2019 if your profile gets shortlisted.

Primary Skill (Must):

Primary Skill (Must): Expert in building software product using ASP.Net,C#,WCF,Framework, Ajax,Angular.Js/Angular,MVC, Jquery, SQL. Excellent knowledge of Relational Databases and SQL, should be able to troubleshoot single handedly Good understanding of object oriented programming. Interaction with individual product teams to understand their requirement and purpose of implementation * Conceptualize, Design and Implement modules with individual products * Troubleshooting issues across environments * Responsible for monitoring, optimizing and performance tuning Secondary Skills (Preferred): Working experience on Azure Cloud based application * Understanding fundamental design principles behind a scalable application * Familiarity with continuous integration * Document and maintain software functionality * Experience working with Multi - threaded applications To learn more about our comprehensive range of consulting and outsourcing services, please visit www.gep.com. For more about SMART by GEP, our cloud-native sourcing and procurement software platform, please visit www.smartbygep.com.

Primary Skill (Must): • 2+ years of experience in automation or Development using core Java • Hands on in writing clean code quickly in languages like Java and code review techniques • Strong understanding of computer science fundamentals and data structures • REST APIs and SOAP web services with JSON and XML payloads • Build systems such as TeamCity, Jenkins, Maven, Ant • Must have hands on experience on Database Preferably SQL • Must have worked on at least one of the Defect Management Tools such as (QC, TFS, etc.) • Experience in creation of test frameworks using open source automation tools. • Understanding of QA methodologies, life cycle and processes and project management techniques. • Open source automation tools and framework knowledge both at backend and frontend • Excellent Written and Verbal Communication is must Secondary Skills (Preferred): • One or two years of experience as developer using Java • Exposure to Cross Browser Testing using tools’ • Exposure to Security Testing • Understanding of Load & Performance testing tools such as Neo Load, Load Runner, Silk, etc. • Exposure to Mobile Testing • Good to have Testing Certification (ISTQB, CSTE etc.) • Should have worked in agile environment

Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.