Bidgely
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- Design and develop a framework, internal tools, and scripts for testing large-scale data systems, machine learning algorithms, and responsive User Interfaces.
- Create repeatability in testing through automation
- Participate in code reviews, design reviews, architecture discussions.
- Performance testing and benchmarking of Bidgely product suites
- Driving the adoption of these best practices around coding, design, quality, performance in your team.
- Lead the team on all technical aspects and own the quality of your teams’ deliverables
- Understand requirements, design exhaustive test scenarios, execute manual and automated test cases, dig deeper into issues, identify root causes, and articulate defects clearly.
- Strive for excellence in quality by looking beyond obvious scenarios and stated requirements and by keeping end-user needs in mind.
- Debug automation, product, deployment, and production issues and work with stakeholders/team on quick resolution
- Deliver a high-quality robust product in a fast-paced start-up environment.
- Collaborate with the engineering team and product management to elicit & understand their requirements and develop potential solutions.
- Stay current with the latest technology, tools, and methodologies; share knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
- BS/MS in Computer Science, Electrical or equivalent
- 6+ years of experience in designing automation frameworks, tools
- Strong object-oriented design skills, knowledge of design patterns, and an uncanny ability to
design intuitive module and class-level interfaces - Deep understanding of design patterns, optimizations
- Experience leading multi-engineer projects and mentoring junior engineers
- Good understanding of data structures and algorithms and their space and time complexities. Strong technical aptitude and a good knowledge of CS fundamentals
- Experience in non-functional testing and performance benchmarking
- Knowledge of Test-Driven Development & implementing CD/CD
- Strong hands-on and practical working experience with at least one programming language: Java/Python/C++
- Strong analytical, problem solving, and debugging skills.
- Strong experience in API automation using Jersey/Rest Assured.
- Fluency in automation tools, frameworks such as Selenium, TestNG, Jmeter, JUnit, Jersey, etc...
- Exposure to distributed systems or web applications
- Good in RDBMS or any of the large data systems such as Hadoop, Cassandra, etc.
- Hands-on experience with build tools like Maven/Gradle & Jenkins
- Experience in testing on various browsers and devices.
- Strong communication and collaboration skills.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Deep Learning
Machine Learning (ML)● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.
● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.
● Productize has proven or working models into production-quality code.
● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions
● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.
● File patents for innovative solutions that add to the company's IP portfolio
Requirements
● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.
● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)
● Experience in productizing models to code in a fast-paced start-up
environment.
● Fluency in analytical tools such as Matlab, R, Weka etc.
● Strong intuition for data and Keen aptitude on large scale data analysis
● Strong communication and collaboration skills.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring Boot
Amazon Web Services (AWS)● Design and deliver scalable web services, APIs, and backend data modules.
Understand requirements and develop reusable code using design patterns &
component architecture and write unit test cases.
● Collaborate with product management and engineering teams to elicit &
understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas, and methodologies; share
knowledge by clearly articulating results and ideas to key decision-makers.
Requirements
● 3-6 years of strong experience in developing highly scalable backend and
middle tier. BS/MS in Computer Science or equivalent from premier institutes
Strong in problem-solving, data structures, and algorithm design. Strong
experience in system architecture, Web services development, highly scalable
distributed applications.
● Good in large data systems such as Hadoop, Map Reduce, NoSQL Cassandra, etc.. Fluency in Java, Spring, Hibernate, J2EE, REST Services Ability to deliver code
quickly from given scenarios in a fast-paced start-up environment.
● Attention to detail. Strong communication and collaboration skills.
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The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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