Full-Time Rapid-Response 3D Explainer Video Producer

Role overview

- Hands-on Experience: 3-5 years of experience in automation testing,

specifically for API and UI applications.

- Strong Coding Skills: Proficiency in Java or JavaScript (for

Playwright) with a strong understanding of object-oriented programming

concepts.

- Automation Frameworks: Experience in creating and maintaining automation

frameworks using Selenium and Playwright (preferred), with Rest Assured for

API testing.

- API Testing: Experience in designing and executing automated tests for

RESTful APIs using tools like Postman, Rest Assured, or similar.

- Version Control: Strong experience with version control systems like Git.

- CI/CD Integration: Experience with integrating automated tests into CI/CD

pipelines (Jenkins, GitLab CI, etc.).

- Agile Methodology: Comfort working in an Agile environment with fast

iterations and continuous feedback.

- Problem-Solving: Strong debugging, problem-solving, and analytical skills to

troubleshoot issues effectively.

- Communication Skills: Excellent verbal and written communication skills to

clearly report test results and collaborate with cross-functional teams.

- Collaboration & Mentoring: Ability to collaborate with various stakeholders and

mentor junior team members, fostering a culture of learning and growth within

the team.

- Passion for Test Automation: A self-motivated individual with a passion for

quality and test automation, always looking for innovative solutions and

improvements.

- Right Attitude: A proactive attitude towards taking on challenging work and

responsibilities, with a positive approach to tackling complex tasks.

What would you do here

- Test Automation: Write, execute, and maintain automated tests using

Selenium, Playwright, and Rest Assured.

- Mentorship: Guide and mentor junior engineers in the team, helping them

improve their automation skills and providing technical support.

- Collaboration: Work closely with cross-functional teams including developers,

product managers, and other QA engineers to understand requirements and

deliver automated tests accordingly.

-- Continuous Improvement: Drive improvements in test automation processes

and practices, ensuring scalability, reusability, and high performance of test

suites. Responsibility & Ownership: Take full responsibility for the automation tasks assigned, from design to execution and reporting.

- Adaptability: Thrive in a fast-paced, agile environment and adapt quickly to

changing requirements.

- Defect Reporting & Resolution: Collaborate with the development team to

troubleshoot and resolve issues detected during test automation.

- Test Coverage & Reporting: Ensure comprehensive test coverage and provide

clear, actionable test results and metrics

Sr. User Experience (UX) Designer

Preferred Experience & Expertise: • 

Bachelor’s degree in the fields of Computer Science, Information Technology, Mathematics, Statistics, or any UX related subjectssuch as digital design/media, digital marketing, graphic design, media technology, and web design. 

Relevant experience of at least 2 years in lieu of above if from a different stream of education.  

Well-versed in and 2+ years of hands-on demonstrable experience with UX Research and UX Design 

Hands-on development experience in tools like Adobe XD, Photoshop, Illustrator, or any relevant tools. 

2+ years of hands-on development experience in one or more libraries, frameworks, & technologies such as React JS, HTML5, CSS3, D3, Ant Design, Vis.js, Chart.js, etc.; extra points if you can demonstrate your knowledge with working examples. 

2+ years of hands-on development experience in JavaScript & TypeScript. 

Familiarity with the domains of Data Management & Governance Business Process & Workflow Management ▪ Cloud Computing Infrastructure & Platforms (AWS/Google Cloud/Azure) 

Ability to understand software product vision, objectives, capabilities, and features; and translate into digital experiences 

Artistic eye for design with ability to think creatively 

Accuracy, attention to detail and mastery of information, navigation, and visual design  Mathematical & statistical aptitude and strong problem-solving skills to determine experiential solutions to UX/UI challenges in the domains of visual data modeling, visual workflow modeling, data browsing, data editing, statistics driven charting, graphs, etc. 

An understanding of the latest trends in UX and self-development skills to keep up to date with such fast[1]changing trends 

Excellent interpersonal and communication skills to communicate ideas to developers.

Multi-tasking and time management skills, with the ability to prioritize tasks .

Ability to work both independently and in a team.

Professional approach to time, costs, and deadlines

Job Location : Pune/Remote

Work Timings : 2.30 pm-11:30 pm

Joining Period : Immediate-20 days

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Experience: 4.1-7 years
• Must have Skills: JavaScript ES6, MySQL, RabbitMQ, Redis, Node JS
• Strong technical background with node.js, event loop understanding, unit testing, developing web application & APIs, event & stream, call-back & closures, promise, async/await, accessing file system, Optimization techniques.
• Strong experience in JavaScript, Express.js, GraphQL
• Strong knowledge of REST, microservices, cloud development and design patterns
• Comfortable using modern tools and platforms such as Docker, Jenkins, Gitlab CI, etc.
• Comfortable using agile methodologies.
• Understanding of different components such as web server, storages, integrations
• Should have worked on designing and building server-side solutions (in any technology), build process of node.js, CI/CD process of node.js, multi-tasking (working on multiple things at same time)
• Good knowledge of functional and Object-Oriented Programming
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.
• Familiarity with Azure pipeline
• Should have experience in Identifying software application weaknesses and target areas and sketching out ideas for automated software test procedures. Reviewing software bug reports and highlighting problem areas.
• Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
• Fundamental knowledge of design patterns
• Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
• Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
• Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.

RESPONSIBILITIES:

• Writing and reviewing great quality code
• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project.
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs.
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

•  DOT NETCore,.NET, C#,NET Core, http://asp.net/" target="_blank">ASP.NET Core Rest API, Odata,
• Blazor, HTML, CSS, Bootstrap, JavaScript,
• Development of Docker container-based microservices,
• Azure SaaS Services (Azure Service Bus, Azure Kubernetes Services, CosmosDB, Cognitive Services, Redis),
• Azure DevOps (ALM Platform),
• CI/CD delivery via Azure Pipelines,
• MS-SQL (T-SQL) and No-SQL databases (MongoDB),
• Object-Oriented Programming Principles, SOLID, Design patterns
• Good communication skill

• Create, maintain and automate datasets and insightful dashboards to track core metrics and extract business insights
• Analyze large-scale structured and unstructured data to identify business opportunities and optimize features for Analytics.

• 8+ years experience doing Business Intelligence and Analytics work
• B.Tech/M.Tech in a technical field (Computer Science, Math, Statistics)
• Strong knowledge in Data Design, Data Modelling, and Data Validation best practices
• Proficient in data visualization, Preferably SSRS & Power BI
• Fluency with writing advanced SQL code
• Experience with SQL Server Administration and best practices
• Possess BFSI, Fintech Domain Knowledge
• Excellent interpersonal, cross-functional, communication, writing, and presentation skills
• Comfortable working in a fast-paced environment with the ability to be a team player
• Possess excellent Project Management and superior Team Management skills

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.