Social Media Marketer

We are seeking a highly skilled and detail-oriented QA Engineer to join our team. As a QA Engineer, you will be responsible for ensuring the quality and reliability of our software products. You will work closely with our development team to identify and fix any bugs or issues and ensure that our software meets the highest standards of quality.

The ideal candidate for this role has a strong background in software development and testing, with experience in QA methodologies and tools. You should have excellent analytical and problem-solving skills, as well as a keen attention to detail. The ability to work both independently and collaboratively is also essential, as you will be responsible for testing and documenting software features, as well as working with cross-functional teams to resolve any issues.

●     Collaborate with the development team to understand software requirements and design test cases

●     Conduct functional, regression, and performance testing on software applications

●     Identify and document bugs and issues, and work with the development team to resolve them

●     Develop and maintain test cases, test scripts, and other QA related documentation

●     Execute test cases and analyze test results to identify trends and areas for improvement

●     Use automated testing tools to streamline the testing process and improve efficiency

●     Participate in code reviews to ensure that code is written with testability in mind

●     Assist in the creation and maintenance of testing environments and test data

●     Identify opportunities for process and quality improvements and propose solutions

●     Stay up-to-date with industry best practices and trends in software testing and quality assurance

Must have:

●     Proven work experience as a QA Engineer or similar role

●     Strong knowledge of software development and QA methodologies

●     Experience with test management and bug tracking tools

●     Familiarity with automated testing tools and frameworks

●     Excellent analytical and problem-solving skills

●     Strong attention to detail

●     Ability to work both independently and collaboratively

●     Excellent communication skills, both written and verbal

●     Strong organizational and time management skills

●     Software Development Life Cycle (SDLC)

SOFT skill

1. Effective Troubleshooting: Proficiency in resolving issues.
2. Understanding User Needs and Business Goals: Empathy towards end-users and a grasp of business strategies.
3. Flexibility: The capability to adapt.
4. Negotiation and Facilitation Skills: Competence in leading meetings and striking agreements.
5. Collaborative Team Player: A cooperative attitude and a positive demeanour.
6. Enthusiastic for Continuous Learning: A strong desire for ongoing education.
7. Intuitive Insight: A keen intuition.
8. Sharing Knowledge and Guiding Others: A commitment to sharing knowledge and mentoring

● Analyze business requirements and design test cases for functional and non-functional

testing.

● Identify, document, and track defects, ensuring thorough root cause analysis and resolution.

● Ensure high-quality application releases for UAT and Production.

● Collaborate with cross-functional teams during sprint planning, grooming, and

retrospectives.

● Conduct API testing and validate system integrations.

● Perform database testing to ensure data accuracy and integrity.

● Execute regression testing for unchanged features.

● Ensure compliance with company QA standards, policies, and best practices.

● Maintain test strategies, processes, and result documentation.

● Develop and manage test automation frameworks using tools like Cypress and Playwright.

Location-- Goregaon

Location: Permanent work from home role

Education: MCA, B.E/B-Tech-Computers

Shift timing: 3 PM to 12 AM

Job Responsibilities:

 Selection or identification of test cases for automation from existing test case

documentation.

 Should be highly proficient with Java programming and OOPS concepts.

 Creating or updating an automation test plan or strategy and getting approval.

 Select, design, develop, and implement a scalable test automation framework and strategy

using Selenium WebDriver, incorporating TestNG, and employing a hybrid approach.

 Desktop automation using Selenium WinApp.

 Configure the Selenium Test Environment for setup, including Java, Selenium WebDriver,

TestNG, and the Azure DevOps toolchain, among other necessary components.

 API automation using Rest Assured and Postman tools.

 Well-versed in incorporating automation into the CI/CD process of the organisation using

Azure.

 DevOps toolchain, Git, Maven, and Selenium Web driver.

 Creating, updating, enhancing, debugging, and running test scripts.

 Organising and monitoring the defect management process. Handling changes, conducting

regression tests, and generating automatic reports.

 Scheduling the scripts to run and send reports to the team and stakeholders.

 Coordinate with the team and client, solve their issues in the scripts, and give training.

 Performing code reviews and implementing industry best practices.

 Exposure to working in an Agile/Scrum environment.

 Must possess very good logical, analytical and communication skills.

 Candidates with knowledge of US Mortgage process will be given preference.

 Ability to Work in Fast-Paced Environment and meet deadlines with minimal supervision.

 Must be a team player with the ability to manage multiple tasks in a deadline driven environment.

Job Description for AEM Autodesk-

Responsibilities :

Work with product owners to form technical solutions that meet requirements

Collaborate with architects, designers, product team, other developers and teams, as well as participate in code reviews

Help design and implement components that integrate with internal and external systems

Take ownership of, be a subject matter expert and maintain complex modules

Specific, actionable and responsible project updates in an Agile environment

Engineer mobile and web experiences with exceptional performance

Requirements :

5+ years industry experience with AEM (Adobe Experience Manager)

1+ years of experience with Contentful 

Understanding and experience developing web services using AWS 

Understanding and experience of server-side web development using Java

Experience developing efficient and reliable JavaScript (ES6/2015), both client and server-side and Javascript testing frameworks such as 

Jasmine, mocha.js, Jest

Experience creating maintainable CSS

Experience with Object-Oriented and Functional programming paradigms

Understand fundamental elements of good software architecture

Working understanding of the latest web APIs and standards (HTML 5, CSS 3, ECMAScript 2015)

Experience with continuous integration tools, such as Jenkins

3 or more years of relevant programming experience

2 or more years experience with Adobe AEM (CQ) and related technologies

1 or more years of experience working in a modern web application stack (React, Backbone, Angular, Ember, etc.)

Bachelor's degree in computer science, Software Engineering, or equivalent work experience

Proficiency in spoken and written English 

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

Skills: C++, QT, UI, TCP/IP, HTTP/HTTPS, Networking Protocols

Branch: Computer Science (B.E/B.tech)

Location: Bangalore (Work from Office)

Experience- 1-5yrs