11880 Regression Jobs - Page 32

HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Architect Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Designing and Architecting End-to-End AI/ML Solutions for Marketing: The architect is responsible for designing robust, scalable, and secure AI/ML solutions specifically tailored for marketing challenges. This includes defining data pipelines, selecting appropriate machine learning algorithms and frameworks (e.g., for predictive analytics, customer segmentation, personalization, campaign optimization, sentiment analysis), designing model deployment strategies, and integrating these solutions seamlessly with existing marketing tech stacks and enterprise systems. They must consider the entire lifecycle from data ingestion to model monitoring and retraining. Technical Leadership: The AI/ML architect acts as a technical leader, providing guidance and mentorship to data scientists, ML engineers, and other development teams. They evaluate and select the most suitable AI/ML tools, platforms, and cloud services (AWS, GCP, Azure) for marketing use cases. The architect is aso responsible for establishing and promoting best practices for MLOps (Machine Learning Operations), model versioning, continuous integration/continuous deployment (CI/CD) for ML models, and ensuring data quality, ethical AI principles (e.g., bias, fairness), and regulatory compliance (e.g., data privacy laws). Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 15+ years of Experience across Data Architecture, Data Science and Machine Learning. Experience in delivering AI/ML models for Marketing Outcomes like Customer Acquisition, Customer Churn, Next Best Product or Offer. This is a mandatory requirement. Experience with Customer Data Platforms (CDP) and Marketing Platforms like Unica, Adobe, SalesForce, Braze, TreasureData, Epsilon, Tealium is mandatory. Experience with AWS SageMaker is advantageous Experience with LangChain, RAG for Generative AI is advantageous. Experience with ETL process and tools like Apache Airflow is advantageous Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Ability to work well within an agile team environment and apply the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required

HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required

THIS IS A LONG TERM CONTRACT POSITION WITH ONE OF THE LARGEST, GLOBAL, TECHNOLOGY LEADER . Our large, Fortune client is ranked as one of the best companies to work with, in the world. The client fosters progressive culture, creativity, and a Flexible work environment. They use cutting-edge technologies to keep themselves ahead of the curve. Diversity in all aspects is respected. Integrity, experience, honesty, people, humanity, and passion for excellence are some other adjectives that define this global technology leader. Looking for 3-5 years of overall experience. 3+ years of relevant experience. Candidate must be flexible to have an overlap of 3-4 hours with PST. Primary Skills (Must-have): Test Case Creation and Management, Release Management, Manual & Automation Testing, Mobile Testing Secondary Skills (Good-to-have): Kotlin, Tesmo Job Description: Leading standards for all things Mobile QA testing. Providing testing, communication, and sign off for high quality mobile releases. Providing functional testing for Mobile platform app features and releases. Mobile Platform QA release management. Communicate with all teams to receive team-level sign-off for each feature. Perform platform regression testing, run automation testing provided, large project testing. Sign-off on each mobile release. Verification of platform Tasks and Bugs that are developed in an ongoing manner and eventually delivered in a release. Assist with escalated support - reproducing issue, communicating with teams, finding workarounds, etc.

Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Snowflake Data Warehouse Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Quality Engineer, you will enable full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Your typical day will involve performing continuous testing for security, API, and regression suites, creating automation strategies, and supporting data and environment configurations. You will also participate in code reviews, monitor, and report defects to support continuous improvement activities for the end-to-end testing process, ensuring that the highest quality standards are met throughout the project lifecycle. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and implement testing strategies that align with project goals and timelines. - Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse. - Experience with data integration and ETL processes. - Strong understanding of database management and SQL. - Familiarity with automated testing tools and frameworks. - Ability to analyze and interpret complex data sets. Additional Information: - The candidate should have minimum 5 years of experience in Snowflake Data Warehouse. - This position is based at our Bengaluru office. - A 15 years full time education is required.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The Testing QA Engineers is responsible for assisting in the design and execution of test plans and ensuring software products meet quality standards. This role involves intermediate-level testing tasks and collaboration with team members. The split between manual vs automated testing in QA is 50:50 Tasks and Responsibilities not limiting to: · Develop and execute detailed test cases based on project requirements. · Own and manage the full testing lifecycle—from gathering test requirements to execution and closure. · Architect and implement automated testing frameworks using tools such as Selenium, JUnit/TestNG, or equivalent. · Develop manual and exploratory tests where automation is not feasible. · Identify, log, and track defects; work with developers to ensure resolution. · Collaborate with cross-functional teams (engineering, QA, product) to ensure release readiness. · Advocate for QA best practices, continuous integration, and continuous delivery within the team. · Mentor and coach junior QA engineers, elevate team QA maturity. · Conduct functional, regression, and system-level testing with minimal supervision. · Control and manage projects through systematic management skills and methods, assure all the testing projects go smoothly. · Trouble shooting in testing development and execution. Requirements · Education: Bachelor’s degree in computer science, Software Engineering, or related field · 5-6 years Proficient in Automation Testing, Manual Testing, defect tracking tools, basic scripting knowledge is a plus. · Proficient in using defect tracking tools and test management systems. · Knowledge of testing methodologies and QA processes. · Basic scripting knowledge (e.g., Python, VBA) is a plus. · Strong analytical and problem-solving skills. · Excellent written and verbal communication skills Job Reference: This role is fully work-from-office at our Gurugram/Gurgaon office from Mon to Fri.

Job Purpose Having quick turnaround and increased test coverage is the need of the hour; hence the increased emphasis on automation testing across projects. Publicis Sapient is looking for automation experts who in addition to the expertise in the tools and techniques also have the knack to understand the business needs, ROI and accordingly create the automation strategy. Assures consistent quality of Software Applications production by developing and enforcing robust Automated Software QE strategy, practices, and processes, providing documentation and managing people. They collaborate the with the project, business and (QE) teams, to develop detailed automated scripts, test frameworks to make the overall system more effective and efficient for our clients. Responsible for the overall quality of the project through effective QE leadership and management to ensure that all deliverables in terms of time, price and quality are met. This individual must have a proven track record of success building, leading, and managing a functional and technical QE team with a strong sense of quality ownership. This is a hands-on job that requires strategic thinking and planning to provide leadership and expertise throughout the entire QA lifecycle, ensuring the success of the team's manual and automation efforts in an agile working environment. Experience Required: 4-9.5 years Role: Senior Quality Engineer Location- Pune/ Bangalore/ Gurgaon Education: Full time Bachelor’s/Master’s engineering degree Looking for Immediate joiners preferably Role Requirements Technical skills: Must Haves • Experience with QE for distributed, highly scalable systems • Good understanding of OOPS concepts and strong programming skills in Java, Groovy or JavaScript • Hands on experience of working with at least one of GUI based test automation tools for desktop and/or mobile automation. Experience on multiple tools will be added advantage • Proficient in writing SQL queries • Familiarity with process of test automation tool selection & test approach • Experience in designing and development of automation framework and creation of scripts using best industry practices such as Page object model • Integrate test suites into the test management system and custom test harness • Familiar with implementation of design patterns, modularization, and user libraries for framework creation • Can mentor team as well as has short learning curve for new technology • Understands all aspects of Quality Engineering • Understanding of SOAP and REST principles • Thorough understanding of microservices architecture • In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS • Hands-on experience working with Postman or similar tool • Hands-on experience in parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar • Hands-on experience in performing Request and Response Schema validation, Response codes and exceptions • Good Understanding of BDD, TDD methodologies and tools like Cucumber, TestNG, Junit or similar. • Experience in defining API E2E testing strategy, designing and development of API automation framework • Working experience on build tools Maven / Gradle, Git etc. • Experience in creating test pipeline – CI/CD Preferred: (Mostly for people being hired at the Senior Associate Career Stage) • Possess domain knowledge to identify issues across those domains, understand their impact, and drive resolution [(familiar / expert in domains like retail banking, automobile, insurance, betting, food-markets, hotel industry, healthcare) • Used /Exposure to automation tool for automating mobile applications • Used /Exposure to automation tool for non-functional testing • To setup test environment for execution on cloud environments such as Sauce labs, browser stack • Knowledge of new tools (open source & licensed) in the automation world and have the knack to explore them and keep abreast with the latest tools in the market • Expertise in creating test automation frameworks, implementing and maintaining them on a project Experience in the modern agile practices such as BDD/Cucumber , Devops • Knowledge and experience in service virtualization and tools like CA Lisa • Hands-on knowledge of setting up PACT Broker and writing PACT tests is desirable • Experience in test management tools like Xray & Zephyr and integration of test framework with these tools • Understanding of commonly used software design patterns like Builder, Factory, Singleton and Façade. Test Management: Must Haves • Able to estimate for low and medium complexity applications and have used at least one of the estimation techniques. • Able to handle/oversight a small team ranging from 2 -5 people and can guide them during the complete SDLC cycle starting from test case creation till test closure activities • Well-versed with the most of the activities in defect management process, can define/enhance the defect documentation and TAR lifecycle process independently • Have expertise to enforce/adhere defect or other processes in the team Preferred (Mostly for people being hired at the Senior Associate Career Stage) • Mentored or coached at least one person • Can define Automation Test strategy and test plan for low and medium complexity applications taking into account the business needs, ROI etc. • Able to maintain and report test coverage matrix • Able to identify device coverage for the application in question. • Can devise regression testing approach Soft Skills: • Possess excellent Communication skills (written, verbal both formal & informal) • Helps to create a positive, collaborative working environment for the team. • Quick grasping and flexibility to adapt to new technologies/processes • Ability to multi-task under pressure and work independently with minimal supervision. i.e. Ability to prioritize when under pressure • Efficiently makes tough decisions and communicates them effectively. • Independently manages operational level client meetings. Develops strong relationships with appropriate client stakeholders. Acts as the primary POC/facilitator for planned (regular) client meetings. Manages peer-level client relationships (expectations, communications, negotiations, escalation, feedback, etc.)

About Us We are developing a state-of-the-art ERP solution tailored for the pharmaceutical industry. Our product integrates complex business processes and cutting-edge technologies to meet industry standards and drive operational efficiency. We are seeking a highly skilled Test Lead to ensure the quality and reliability of our software by defining comprehensive test strategies and scenarios. Role Overview As the Test Lead, you will play a pivotal role in ensuring the quality of our ERP solution. You will be responsible for defining exhaustive test coverage, applying various testing methodologies, and ensuring the product meets the highest quality standards. While knowledge of test automation is a plus, this role focuses on designing and executing detailed test plans, scenarios, and methodologies to ensure robust product validation. Key Responsibilities Test Strategy & Planning : Define and implement comprehensive test plans to ensure thorough test coverage. Identify key areas of the ERP for pharmaceutical processes and create detailed test strategies. Develop and maintain test scenarios, test cases, and test scripts to cover functional, integration, system, and regression testing. Testing Methodologies : Apply industry-standard testing methodologies and techniques, such as black-box, white-box, exploratory, and boundary testing. Ensure all types of testing are executed, including functional, performance, scalability, usability, and security testing. Test Scenarios & Coverage : Define various test scenarios to simulate real-world use cases and edge cases. Ensure complete test coverage for all business processes, workflows, and modules. Test Execution & Reporting : Oversee test execution, track results, and identify potential issues or gaps. Document test results and provide actionable insights to development teams. Lead defect triage meetings and coordinate with developers to ensure timely resolution. Collaboration : Work closely with product managers, developers, and other stakeholders to understand business requirements and design test strategies accordingly. Guide and mentor the testing team to ensure consistency and quality across all testing efforts. Quality Assurance : Establish metrics to measure testing effectiveness and product quality. Maintain a focus on ensuring the software meets compliance and regulatory standards specific to the pharmaceutical industry. Qualifications Experience : 5-6+ years of experience testing complex software solutions, preferably ERP systems or pharmaceutical industry applications. Proven expertise in defining test strategies, scenarios, and coverage for large-scale systems. Technical Skills : In-depth knowledge of manual testing techniques and methodologies. Familiarity with various testing types, including functional, integration, system, regression, and performance testing. Exposure to test management tools (e.g., JIRA, TestRail, or similar). Soft Skills : Strong analytical and problem-solving skills. Excellent communication and leadership abilities. Detail-oriented with a focus on quality and precision. Optional Skills : Basic knowledge of test automation tools (e.g., Selenium, TestNG) is a plus but not mandatory. What We Offer Competitive salary and benefits package. Opportunity to work on cutting-edge ERP technology in the pharmaceutical sector. A collaborative and innovative work environment. Career growth opportunities within a dynamic and rapidly evolving organization.

Your Future Evolves Here Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans. Are we growing? Absolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to work? Definitely. Evolent Health International (Pune, India) has been certified as “Great Places to Work” in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation’s Corporate Equality Index (CEI). This index is the nation's foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality. We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it. What You’ll Be Doing: Position Summary: The Analyst, Clinical Analytics will be working with a highly-advanced team of Risk and Quality Analysts to develop and maintain reporting capabilities. Roles & Responsibilities: Analyse data, produce reports, and connect model output to client & program operations Become a resource for how risk adjustment applies to various lines of business Identify quality measure opportunities as they relate to different lines of business Quantify and forecast operational returns related to risk adjustment and HEDIS quality measures Work in a collaborative environment with other innovative professionals to design, develop, and maintain best-in-breed risk adjustment and quality reporting solutions that measure and forecast risk scores, forecast quality STARs, monitor suspecting model performance, and identify areas of improvement Use cutting edge analytic tools & techniques like SQL, SAS and python to produce insights to improve our processes and research to share internally and externally. Skill Set Requirements (Mandatory): Bachelor’s degree with either a quantitative major (e.g. actuarial, statistics, economics, engineering, computer science, operations research, applied math) or healthcare major (health administration, public health) 3-5 years of experience in a health analytics, quantitative analyst, or software engineering / programming role Technical skills required in MS office and highly proficient programming skills –SQL, Python and/or SAS. Strong verbal & written skills and excellent communication & presentation skills. Comfortable presenting complex analyses Collaborative working style with the ability to work across different organizations and personalities as well as comfort in a highly matrixed environment Ability to multitask, prioritize, adapt to change, work well under pressure in an entrepreneurial environment, meet deadlines, and manage a project from start to finish Finishing Touches (Preferred): Ability to understand and apply highly technical specifications to healthcare datasets Experience with machine learning concepts such as regression, stratification, etc. Experience applying Medicare, Medicaid, or ACA risk adjustment mode Experience applying Medicare STARS quality measures Academic Qualification: Please list what academic qualifications the candidate must hold (i.e., bachelors, associates, etc.) below: Bachelors is preferred but programming specific associates maybe okay. Mandatory Requirements: Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business. Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status .

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP ABAP Development for HANA Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact - Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA S4 HANA Implementation knowledge Life sciences experience - Strong understanding of statistical analysis and machine learning algorithms - Experience with data visualization tools such as Tableau or Power BI - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: - The candidate should have a minimum of 7.5 years of experience in SAP ABAP Development for HANA - This position is based at our Hyderabad office - A 15 years full-time education is required

Client : LTIMINDTREE Job Type : C2H Role: Java Backend Developer Experience: 7 to 12y Work Location: Chennai (WFO 3 days a week from LTIM office at Chennai) Payroll on : People Prime World Wide Notice : 0 to 15 days Job Description:- Java Backend Engineer Qualifications BS or MS degree in computer science computer engineering or other technical discipline or equivalent 3 - 4 years of work experience 5 - 7 years experience working in Java and able to demonstrate good Java knowledge Able to demonstrate good web fundamentals and HTTP protocol knowledge Good attitude communication willingness to learn and collaborate 5 yrs development experience in developing Java applications in an enterprise setting Experience working with Java 11 and above is a plus 5 yrs experience developing java applications in frameworks such as Spring Spring Boot Drop wizard is a plus 2 - 3 yrs recent experience working in Javascript on Node stack is a plus 3 years Experience with Test Driven Development TDD Behavior Driven Development BDD practices unit testing functional testing system integration testing regression testing GUI testing web service testing and browser compatibility testing including frameworks such as Selenium WebDriverIO Cucumber JUnit Mockito Experience with continuous integration and continuous delivery environment 3 to 4 yrs working in an Agile or SAFe development environment Solid Understanding of distributed systems Proven experience building scalable web application using Java Responsibilities include but not limited to Serving as a core member of an agile team that drives user story analysis and elaboration designs and develops responsive web applications using the best engineering practices Performing handson software development typically spending most of time actually writing code and unit tests doing proof of concepts conducting code reviews and testing in ongoing sprints Performing ongoing refactoring of code and delivering continuous improvement Developing deep understanding of integrations with other systems and platforms within the supported domains Manage your own time and work well both independently and as part of a team Work closely with product managers backend and other frontend engineers to implement versatile solutions to tricky web development problems Work with Product Owners to define requirements for new features and plan increments of work Drive automation and ensure automated test scripts are completed for new features in partnership with QA Engineers Perform all technical aspects of software development for assigned applications including developing prototypes writing new code and creating APIs Design and build integration components and interfaces in collaboration with Senior Engineers Architects and Infrastructure Engineers as necessary Mandatory Skills : Java, Spring Boot, Micro Services, Hibernate.

About Us Morgan Stanley is a global financial services firm and a market leader in investment banking, investment management and wealth management services. At Morgan Stanley India, we are shaping the future of our global business and contributing to our local community. Our team works with the Wealth Management Platforms group from our office in Mumbai/ (Bengaluru?). Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Division Profile The Wealth Management Platforms organization manages digital platforms and experiences across the Advisor, Workplace and Direct channels, ensuring that our capabilities lead the industry and are delivered and integrated seamlessly. Position Summary The Wealth Management Platforms User Acceptance Tester will be responsible for a variety of user acceptance testing functions and status reporting that support our Squads across our different Platforms Areas, working in an Agile environment. These Platform Areas drive the completion of senior leadership's vision of platforms used by our financial advisors, branch managers, support professionals and clients. The ideal candidate will be a highly motivated self-starter who can swiftly develop an understanding of the business' systems/platforms and conduct acceptance testing. This position will report to a UAT Lead and serve as a proxy to Product Owners and Business Analysts. Key Responsibilities Testing Understand business requirements to create comprehensive test scenarios with an emphasis on the end-user's experience; conducting functional, regression, and end-to-end testing Open and maintain test accounts; support production checkouts and be flexible with working hours, including with those in other regions and ahead of releases (e.g., release weekends) Have knowledge on platforms, applications, and peripheral systems; become a subject matter expert in these respective areas Work effectively in an Agile Squad with stakeholders from Technology and Platforms teams; liaise with Technology QA Team to ensure efficient coverage Assist in refinement of acceptance criteria ensuring that it is complete and comprehensive Status Report and Ceremony Participation Participate in and contribute to Scrum ceremonies (e.g., sprint planning, daily stand-ups, refinement sessions, etc.) Provide testing status to Squad and UAT Leads, escalate risks and issues, and defect management Supporting and Planning Create test plans, test cases, and scripts; conducts testing of negative scenarios to ensure that systems meet standards & End-User Requirements Serve as a proxy to Product Owners and Business Analysts to properly support testing, including the review, prioritization, and management of defects Build thorough understanding of the WMP business contexts (e.g., systems, processes, and end-users, etc.) Proactively reflect on a regular basis (daily and weekly) work accomplished, current and potential blockers for completing work, and next steps Experience Bachelor's degree in finance, economics, technology or related field, or an equivalent combination of training and experience required Minimum 7-11 years of experience in UAT, preferably in financial services/program management Partnering/working with stakeholders across different regions Skills Required Strong attention to detail and an analytical mindset, with a focus on managing multiple projects with varying degrees of priority Strong active listening, research/investigative, and communication (verbal and written) skills Ability to work independently and with a team, possessing a strong sense of accountability, ownership, proactiveness, and relationship building Ability to understand how testing in any scenario / for any system fits into the bigger picture of why the work is being done, what is the broader impact and to whom testing impacts (e.g., business/tech leadership, end-users, etc.) and how it benefits Morgan Stanley at-large Proficient with Microsoft Office (Word, Excel and PowerPoint) Knowledge of and experience with Agile methodologies, delivery practices, and reporting Application and/or Software testing experience (AVP job description only) You Might Also Have > Experience with tools/techniques/processes such as Selenium, RestAssured, Gradle, Junit, GIT Stash, Agile, BDD, Jira, ALM, TeamCity, and traditional SDLC > Application and/or Software testing experience (ASSOC job description only) > Experience in SQL scripting > Possess proficiency in test script automation What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

About Granica Granica is redefining how enterprises prepare and optimize data at the most fundamental layer of the AI stack—where raw information is transformed into usable intelligence. We’re built to streamline cloud infrastructure, reduce storage and compute costs, and accelerate data pipelines, therefore helping companies turn massive raw datasets into intelligent, usable fuel for AI. In short: we build better data for better AI . Smarter Infrastructure for the AI Era: We make data efficient, safe, and ready for scale—think smarter, more foundational infrastructure for the AI era. Our technology integrates directly with modern data stacks like Snowflake, Databricks, and S3-based data lakes, enabling: 60%+ reduction in storage costs and up to 60% lower compute spend 3x faster data processing 20% platform efficiency gains Trusted by Industry Leaders Enterprise leaders globally already rely on Granica to cut costs, boost performance, and unlock more value from their existing data platforms. A Deep Tech Approach to AI We’re unlocking the layers beneath platforms like Snowflake and Databricks, making them faster, cheaper, and more AI-native. We combine advanced research with practical productization, powered by a dual-track strategy: Research: Led by Chief Scientist Andrea Montanari (Stanford Professor), we publish 1–2 top-tier papers per quarter. Product: Actively processing 100+ PBs today and targeting Exabyte scale by Q4 2025. Backed by the Best We’ve raised $60M+ from NEA, Bain Capital, A Capital, and operators behind Okta, Eventbrite, Tesla, and Databricks. Our Mission To convert entropy into intelligence, so every builder—human or AI—can make the impossible real. We’re building the default data substrate for AI, and a generational company built to endure beyond any single product cycle. Job Summary We are looking for a SDET (QA Automation Engineer) with hands-on experience in backend testing using Python , and working knowledge of Kubernetes , Apache Spark , and data lake architectures . In this role, you’ll collaborate with engineers across product and platform teams to ensure the quality of services powering our data-driven AI infrastructure. What You’ll Do Test Automation Design, develop, and maintain automated test scripts using industry-standard tools and frameworks Create and execute comprehensive test plans for APIs and big data applications Implement automated regression, functional, integration, and performance testing Develop and maintain test data management strategies Create reusable test components and maintain test automation frameworks Quality Assurance Perform manual testing when required, including exploratory and usability testing Identify, document, and track software defects using bug tracking tools Collaborate with developers to reproduce and resolve issues Conduct root cause analysis for test failures and production issues Ensure compliance with quality standards and testing methodologies Process Improvement Integrate automated tests into CI/CD pipelines Provide testing estimates and ensure timely delivery of testing milestones Continuously evaluate and implement new testing tools and methodologies What We’re Looking For 6–10 years of experience in backend test automation with a strong focus on Python . Experience working in distributed systems , data engineering, or infrastructure-heavy environments. Familiarity with Apache Spark and related big data technologies. Hands-on experience with Kubernetes for container orchestration and test environment setup. Solid understanding of data lakes , including experience with formats (Parquet, ORC), storage layers, or lakehouse platforms. Experience with REST API testing , data validation, and large-scale test data management. Comfortable with tools like Pytest , Postman , Git , Jenkins , or similar CI/CD tools. Strong debugging and problem-solving skills in cloud-native environments. Nice-to-Haves Background in data infrastructure, machine learning pipelines, or systems programming Familiarity with distributed systems concepts (e.g., compression, storage tiering, streaming data) Experience working in a startup or fast-paced technical environment Experience with Kubernetes, Terraform, or infrastructure as code tools Comfort with performance tuning, benchmarking, and systems observability Why Granica? Work hands-on with petabyte-scale datasets , design performant systems and compression algorithms that matter Partner with elite engineers from companies like Google, Tesla, and Palantir on complex issues Tackle meaningful problems that push the boundaries of what’s possible in data infrastructure and AI Outcome-driven culture : Low ego, high trust, customer-obsessed. We scaled to multimillion-dollar ARR without a dedicated sales team—just product pull and ROI. Generous benefits : Unlimited PTO, flexible hybrid setup, competitive compensation, full health coverage Backed by top-tier VCs with strong runway and bold ambitions. Benefits: Highly competitive compensation with uncapped commissions and meaningful equity Immigration sponsorship and counseling Premium health, dental, and vision coverage Flexible remote work and unlimited PTO Quarterly recharge days and annual team off-sites Budget for learning, development, and conferences Granica celebrates diversity and is committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Company Description JustiaCore is a generative AI platform focused on optimizing legal research, analytics, and professional workflows. Our solutions enhance decision-making and operational efficiency within the legal industry. By leveraging advanced AI technology, we provide our clients with unparalleled tools to improve their practice. Job Summary: The Quality Assurance Analyst is responsible for ensuring that software applications, products, and systems meet quality standards and are free of defects. This role involves reviewing requirements, writing test cases, executing manual and automated tests, identifying issues, and collaborating with development and product teams to resolve them. The ideal candidate is detail-oriented, analytical, and passionate about delivering high-quality products. Key Responsibilities: Review and analyse business and technical requirements to develop detailed test plans and test cases. Conduct functional, regression, integration, and performance testing across various platforms. Identify, document, and track defects using bug tracking tools (e.g., JIRA). Collaborate with developers and product managers to clarify requirements and resolve issues. Participate in sprint planning, daily stand-ups, and retrospective meetings in Agile environments. Contribute to the development and maintenance of automated test scripts and frameworks. Ensure software meets defined quality, performance, and security standards. Support User Acceptance Testing (UAT) by preparing test data and helping users with test execution. Continuously improve testing processes and documentation. Qualifications: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. 2+ years of experience in software quality assurance or testing. Strong understanding of QA methodologies, tools, and processes. Experience with manual testing and test automation tools (e.g., Selenium, Postman, Cypress). Familiarity with software development life cycle (SDLC) and Agile/Scrum methodologies. Excellent problem-solving, analytical, and organizational skills. Strong verbal and written communication skills. Experience with databases and writing SQL queries is a plus. Preferred Skills: Experience with version control tools like Git. Knowledge of CI/CD pipelines (e.g., Jenkins, GitLab CI). API testing experience. ISTQB certification or similar is a plus.

If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critical business challenges using core concepts of analytics, critical thinking. We are seeking a skilled Data Scientist who has worked in the Marketing domain. The ideal candidate will possess a strong blend of statistical expertise and business acumen, particularly in Marketing Mix Modeling (MMM), Causality Analysis, and Marketing Incrementality. Good understanding of the entire marketing value chain and measurement strategies. The Data Scientist will play a critical role in developing advanced analytical solutions to measure marketing effectiveness, optimize marketing spend, and drive data-driven decision making. This role involves working closely with marketing teams, analysts, and business stakeholders to deliver actionable insights through statistical modeling and experimentation. The ideal candidate has a strong background in statistical analysis, causal inference, and marketing analytics. Responsibilities : Modeling & Analysis (70%) : Develop and maintain Marketing Mix Models (MMM) to measure the effectiveness of marketing channels and campaigns Design and implement causal inference methodologies to identify true incremental impact of marketing activities Build attribution models to understand customer journey and touchpoint effectiveness Conduct advanced statistical analysis including regression, time series, and Bayesian methods Develop predictive models for customer behavior, campaign performance, and ROI optimization Create experimental designs for A/B testing and incrementality studies Perform promotional analysis to measure lift, cannibalization, and optimal discount strategies across products and channels Stakeholder Management & Collaboration ( 30% ) : Partner with business teams to understand business objectives and analytical needs Translate complex statistical findings into actionable business recommendations Present analytical insights and model results to non-technical stakeholders Collaborate with data engineers to ensure data quality and availability for modeling Work with business teams to design and implement measurement strategies Create documentation and knowledge transfer materials for analytical methodologies Key Qualifications Education: Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, or related quantitative field. Master's degree preferred. Experience: 2-3 years of experience as a Data Scientist with focus on marketing analytics. Technical Skills: Strong proficiency in Python or R for statistical analysis Expertise in statistical modeling techniques (regression, time series, Bayesian methods) Experience with Marketing Mix Modeling (MMM) frameworks and tools Knowledge of causal inference methods (DiD, IV, RDD, Synthetic Controls) Proficiency in SQL for data manipulation and analysis Understanding of machine learning algorithms and their applications Deep understanding of marketing channels and measurement strategies Familiarity with marketing metrics (CAC, LTV, ROAS, etc.) Understanding of media planning and optimization concepts

Job Title: Software Tester Location: Hybrid – Pune, Maharashtra Job Type: Permanent, Full-time Overview: We are seeking an experienced Software Tester to join our dynamic team at Decision Management Solutions . This role requires a strong background in software quality assurance and testing methodologies, with hands-on experience in testing enterprise-level applications. The ideal candidate will play a key role in ensuring our software solutions are reliable, efficient, and meet business expectations. Key Responsibilities: Test Planning & Documentation Analyse project requirements and create detailed, structured test plans and test cases. Ensure complete coverage of functional and non-functional requirements. Maintain proper documentation for all test activities. Test Execution Perform manual and automated testing including functional, regression, integration, performance, and usability testing. Record test results and log defects with clarity and precision. Defect Management Identify and report software issues using tools such as JIRA or similar. Work closely with developers to reproduce, prioritize, and resolve defects. Collaboration & Communication Collaborate with developers, business analysts, and project managers to clarify requirements and ensure effective test coverage. Communicate testing status, issues, and risks to stakeholders regularly. Automation & Tools Develop and maintain automated test scripts using tools like Selenium , JUnit , or similar. Contribute to continuous improvement of testing frameworks and tools. Process Improvement & Best Practices Ensure adherence to testing standards and processes. Contribute ideas for improving product quality and team efficiency. Required Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. Minimum of 5 years of experience in software testing. Strong understanding of software QA methodologies , tools, and processes. Experience with automated testing tools (e.g., Selenium, JUnit). Good working knowledge of SDLC and Agile methodologies . Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Skills: Basic knowledge of Java or other programming languages. Experience with Decision Management Solutions or similar enterprise systems. Familiarity with version control systems (e.g., Git). Exposure to CI/CD environments and tools (e.g., Jenkins, GitLab CI). Additional Information: Work Location: Hybrid (Pune, Maharashtra) Experience Required: 5+ years in a software testing role.

This role is for one of the Weekday's clients Min Experience: 3 years Location: Bengaluru JobType: full-time We are seeking a highly motivated and detail-oriented QA / SDET to join our growing engineering team. The ideal candidate will have a strong background in quality assurance and test automation, along with a passion for delivering high-quality software products. You will work closely with product managers, developers, and other QA engineers to design, implement, and execute robust testing strategies. This is a hands-on role that requires a deep understanding of testing frameworks, test planning, and QA best practices across manual and automated environments. Requirements Key Responsibilities: Design, develop, and maintain automated test scripts using industry-standard tools and frameworks. Collaborate with developers and product managers to understand requirements and translate them into test plans and test cases. Own the end-to-end QA process including test planning, execution, defect tracking, and reporting. Perform functional, regression, integration, and system testing across web, mobile, and API layers. Ensure high-quality releases through continuous integration and test automation coverage. Proactively identify gaps in test coverage and continuously improve the automation suite. Review and optimize QA processes to ensure efficiency, repeatability, and scalability. Work closely with QAQC and QAC functions to ensure compliance with standards and best practices. Lead testing initiatives and mentor junior QA engineers when needed. Required Skills & Experience: 3-6 years of hands-on experience in Software Quality Assurance or as an SDET. Strong experience in QA automation using tools like Selenium, Cypress, Playwright, TestNG, JUnit, or equivalent. Proficient in at least one programming/scripting language (e.g., Java, Python, JavaScript). Solid understanding of QA concepts including test planning, test case design, bug lifecycle, and traceability. Experience with CI/CD pipelines and integrating test automation into DevOps workflows (Jenkins, GitLab CI, etc.). Experience with test management tools such as JIRA, TestRail, or Zephyr. Familiarity with API testing using tools like Postman or RestAssured. Working knowledge of QAQC (Quality Assurance & Quality Control) methodologies and how to apply them in real-world projects. Understanding of agile/scrum development environments and QA's role within it. Strong analytical and debugging skills. Preferred Qualifications: Exposure to performance testing tools like JMeter or LoadRunner is a plus. Experience in QA lead roles, coordinating testing efforts across modules or teams. Knowledge of version control systems like Git. ISTQB or equivalent QA certification is a bonus

Join MSBC as an AI/ML Engineer – Deliver Real-World Intelligent Systems At MSBC, we design and implement practical AI solutions that solve real business problems across industries. As an AI/ML Engineer, you will play a key role in building and deploying machine learning models and data-driven systems that are used in production. This role is ideal for engineers with solid hands-on experience delivering end-to-end AI/ML projects. Key Tools and Frameworks • Programming Languages – Python (FastAPI, Flask, Django) • Machine Learning Libraries – scikit-learn, XGBoost, TensorFlow or PyTorch • Data Pipelines – Pandas, Spark, Airflow • Model Deployment – FastAPI, Flask, Docker, MLflow • Cloud Platforms – AWS, GCP, Azure (any one) • Version Control – Git Key Responsibilities • Design and develop machine learning models to address business requirements. • Build and manage data pipelines for training and inference workflows. • Train, evaluate, and optimise models for accuracy and performance. • Deploy models in production environments using containerised solutions. • Work with structured and unstructured data from various sources. • Ensure robust monitoring, retraining, and versioning of models. • Contribute to architecture and design discussions for AI/ML systems. • Document processes, results, and deployment procedures clearly. • Collaborate with software engineers, data engineers, and business teams. Required Skills and Qualifications • 4+ years of hands-on experience delivering ML solutions in production environments. • Strong programming skills in Python and deep understanding of ML fundamentals. • Experience with supervised and unsupervised learning, regression, classification, and clustering techniques. • Practical experience in model deployment and lifecycle management. • Good understanding of data preprocessing, feature engineering, and model evaluation. • Experience with APIs, containers, and cloud deployment. • Familiarity with CI/CD practices and version control. • Ability to work independently and deliver results in fast-paced projects. • Excellent English communication skills for working with distributed teams. • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. MSBC Group has been a trusted technology partner for over 20 years, delivering the latest systems and software solutions for financial services, manufacturing, logistics, construction, and startup ecosystems. Our expertise includes Accessible AI, Custom Software Solutions, Staff Augmentation, Managed Services, and Business Process Outsourcing. We are at the forefront of developing advanced AI-enabled services and supporting transformative projects. Operating globally, we drive innovation, making us a trusted AI and automation partner.

Company Description RN JobForce is dedicated to empowering job seekers and employers worldwide through innovative job search tools and an expanding professional community. We collaborate closely with our clients and utilize a multi-layer candidate delivery function to ensure we present only the best and most suitable candidates. Join our technology-driven platform to explore job opportunities tailored to your career goals. Job Summary: We are seeking a detail-oriented and analytical Quality Assurance Analyst to join our team. The QA Analyst is responsible for ensuring the quality and functionality of software and systems by identifying bugs, developing test plans, executing test cases, and documenting results. This role plays a key part in delivering reliable, high-performing products and improving user experience. Key Responsibilities: Analyse business requirements and technical specifications to create comprehensive test plans and test cases. Execute manual and automated tests to ensure the quality of software products. Identify, record, and document bugs thoroughly using bug tracking systems (e.g., JIRA). Collaborate closely with developers, product managers, and other stakeholders to ensure software quality at every stage of the development lifecycle. Perform regression testing when bugs are resolved and validate fixes. Contribute to the development of automated testing frameworks and scripts. Continuously improve testing processes and best practices. Provide feedback on usability and functionality during software reviews. Ensure compliance with industry standards and company guidelines. Qualifications: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. 2+ years of experience in software quality assurance or a related role. Strong understanding of QA methodologies, tools, and processes. Experience with manual and automated testing. Proficiency in using test management and bug tracking tools (e.g., JIRA, TestRail). Familiarity with automation tools such as Selenium, Postman, or similar is a plus. Excellent analytical and problem-solving skills. Strong written and verbal communication skills. Attention to detail and ability to multitask in a fast-paced environment. Preferred Skills (Optional): Experience with Agile/Scrum development methodologies. Knowledge of programming or scripting languages (e.g., Python, JavaScript). Experience testing APIs and web services.

Job DescriptionPosition: QA Manual Tester Location: Sector 63, Noida Experience: Minimum 0-1 year (training or professional experience) About Us: Shivit Technologies is a leading software development company committed to delivering innovative and high-quality solutions to our clients. We are looking for a detail-oriented and enthusiastic QA Manual Tester to join our team. If you have a passion for ensuring software quality, a keen eye for detail, and at least 6 months of training or experience in software testing, we’d love to hear from you! Key Responsibilities: Collaborate with development teams to understand product requirements and design test cases. Execute manual test cases to identify software defects and ensure product quality. Document and report bugs, errors, and inconsistencies in software applications. Perform functional, regression, and performance testing. Assist in creating and maintaining test plans, test scripts, and test data. Participate in Agile/Scrum meetings and provide feedback on product quality. Work closely with developers to reproduce, debug, and resolve issues. Ensure compliance with quality standards and best practices. Requirements: Minimum 6 months of training or professional experience in software testing. Basic understanding of software testing concepts, methodologies, and tools. Familiarity with manual testing processes and techniques. Knowledge of test case design and defect tracking tools (e.g., JIRA, TestRail). Basic understanding of SQL for database testing. Good analytical and problem-solving skills. Strong attention to detail and a commitment to delivering high-quality work. Good communication and teamwork skills. Ability to learn and adapt to new tools and technologies quickly. Preferred Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Familiarity with manual testing tools. Basic knowledge of programming languages like Java, Python, or JavaScript. Exposure to Agile/Scrum methodologies. Understanding of API testing tools like Postman or SoapUI. Knowledge of version control systems like Git. How to Apply: Visit Our Website - https://shivit.com/career.html Apply for QA Manual Tester Fill the basic details & verify your email Provide the required details Note: Applications received directly via call or email will not be entertained. Candidates must apply online only, also ERP Software Testing candidate will be preferred first. Job Type: Full-time Pay: ₹8,000.00 - ₹13,000.00 per month (based on experience and skills) Benefits: Flexible work hours Learning and development opportunities Friendly and collaborative work environment Schedule: Fixed Day shift Monday to Friday Application Question(s): What is your current or last salary (if working)? Do you have hands-on experience with manual testing tools and processes? What is your total industrial experience (excluding training)? Job Types: Full-time, Permanent Pay: ₹11,770.57 - ₹23,106.53 per month Benefits: Health insurance Ability to commute/relocate: Noida Sector 62, Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): What is your current or last salary (if working)? Do you have hands-on experience with manual testing tools and processes? Work Location: In person

Silverpush is at the forefront of AI-powered video advertising, delivering sophisticated video ad solutions that empower brands to achieve impactful campaigns within a privacy-centric environment. Operating across 30+ countries, we specialize in creating contextually relevant advertising experiences that drive genuine engagement and conversion. Silverpush's commitment to innovation and technological advancement enables us to navigate the evolving digital landscape, providing our partners with the tools necessary to connect with audiences on a global scale. We are dedicated to fostering a culture of creativity and excellence, driving the future of ad tech with integrity and foresight. For more information about Silverpush’s innovative advertising solutions, please visit www.silverpush.co. Responsibilities: ● Analyze complex datasets to identify trends, patterns, and correlations, and extract actionable insights that can inform strategic decisions. ● Design and build predictive models using statistical and machine learning techniques (e.g., regression, classification, XGBoost, clustering). ● Research and develop analyses and forecasting and optimization methods across ads performance, content performance modeling, and live experiments. ● Research and prototype using cutting-edge LLM technologies and generative AI to unlock new opportunities in personalization, targeting, and automation. Ideal Candidate Profile ● 3+ years of experience in Data Science, ideally in advertising or media-related domains. ● Degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Masters in DS). ● Deep experience working with large-scale structured and unstructured data. ● Strong foundation in machine learning and statistical modeling. ● Familiar with building and deploying models in production (basic MLOps knowledge). ● Comfortable with NLP and computer vision, and interested in applying LLMs to real-world use cases. ● Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Technical Skills ● Languages & Tools: Python, PySpark, SQL ● ML Techniques: Regression, Classification, Clustering, Decision Trees, Random Forests, XGBoost, SVM ● LLM Tech: Familiarity with tools like OpenAI, Hugging Face, LangChain, and prompt engineering ● Data Infrastructure: ETL tools, Postgres, BigQuery/Snowflake, S3/GCP ● Statistical Analysis: A/B testing, experiment design, causal inference

Job Title: Quality Assurance (QA) Tester Job Overview: We are looking for a detail-oriented and motivated QA Tester to join our team. The QA Tester will be responsible for ensuring the quality and functionality of software products by testing applications, identifying defects, and collaborating with developers to fix issues. This role requires a keen eye for detail, strong communication skills, and the ability to work well in a team environment. Responsibilities: Execute manual and automated tests to identify software defects. Write and maintain test plans and test cases. Report and track defects using bug tracking tools (e.g., Jira). Work closely with developers and product managers to understand requirements and ensure product quality. Perform regression testing to ensure previous functionality remains unaffected by new changes. Provide feedback on usability, user experience, and overall product quality. Assist in the preparation and execution of user acceptance testing (UAT). Continuously improve testing processes and techniques. Qualifications: Proven experience as a QA Tester or similar role in software development. Familiarity with test management software (e.g., TestRail, Jira). Strong analytical skills and attention to detail. Ability to write clear and concise bug reports. Basic knowledge of programming languages (e.g., Python, Java) is a plus. Understanding of different testing methodologies (e.g., functional, regression, performance testing). Good communication and teamwork skills. Bachelor’s degree in Computer Science or a related field (preferred but not required). Job Type: Internship Contract length: 6 months Pay: ₹5,000.00 - ₹8,000.00 per month Schedule: Day shift Ability to commute/relocate: Govindpuri, Gwalior, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Bachelor's (Preferred) Location: Govindpuri, Gwalior, Madhya Pradesh (Preferred) Work Location: In person Speak with the employer +91 9425151787

Job Title: Software Development Engineer in Test (SDET) Location: Zimetrics, Pune (Kharadi) Experience: 4-7 Years Job Description: We are looking for a skilled Software Development Engineer in Test (SDET) to design, develop, and implement test automation frameworks, ensuring the quality and reliability of our web applications. The ideal candidate will have strong expertise in Selenium WebDriver with Java , test automation, CI/CD integration, and test case management. Key Responsibilities: Automation Framework Development: Design and develop automation frameworks using Selenium WebDriver with Java . Test Script Development: Create, maintain, and execute automated test scripts for functional, regression, and end-to-end testing . Test Case Management: Develop and manage test cases, test data, and test scenarios based on business and technical requirements. CI/CD Integration: Integrate automated test scripts into continuous integration (CI) pipelines using tools like Jenkins, GitHub Actions . Defect Reporting: Identify, log, and track defects to closure using tools like JIRA or equivalent. Cross-Browser Testing: Perform cross-browser and cross-platform testing to ensure application compatibility. Code Reviews: Conduct peer reviews for test scripts and provide feedback to improve automation quality. Collaboration: Work closely with developers, product managers, and other QA engineers to understand business requirements and technical implementations. Test Environment Management: Set up and manage automation test environments. Performance Testing (Optional): Perform basic performance and load testing using JMeter or similar tools. Required Skills & Experience: Selenium WebDriver: Expertise in building and maintaining Selenium-based test automation frameworks. Java: Strong proficiency in Java for developing test scripts. TestNG/JUnit: Experience with TestNG or JUnit for test execution and reporting. Version Control: Hands-on experience with Git for source code management. CI Tools: Experience integrating test scripts with CI/CD tools (e.g., Jenkins, GitHub Actions ). Bug Tracking Tools: Familiarity with tools like JIRA, Bugzilla , or similar. Web Technologies: Knowledge of HTML, CSS, and basic JavaScript to understand web application behavior. API Testing (Optional): Experience with REST API testing using tools like Postman, Rest-Assured . Preferred Qualifications: Experience in Agile/Scrum methodologies . Knowledge of cloud-based test automation solutions . Exposure to Docker and Kubernetes for containerized test environments.

Senior QA Engineer – Automation This role is responsible for the quality review of various applications and includes creating test strategies, test plans, and test cases in collaboration with developers, business analysts, and project managers. You will work closely with the team to analyze and test software, with a focus on verifying quality and ensuring conformance to system requirements. The role primarily relies on test automation tools, while also requiring hands-on collaboration across teams. Responsibilities: • Responsible for test planning, test automation, test environment setup/teardown, exploratory testing, defect logging, and verification • Design and execute automation and performance tests, including testing of client implementations using automated scripts • Create, maintain, and continuously improve automation frameworks and tools • Collaborate with cross-functional team members to identify, troubleshoot, and resolve software issues • Oversee and ensure effective execution of functional, regression, and acceptance testing • Review and adapt test strategies to reflect new requirements, shifting risks, and project priorities • Provide direction for the QA function by assisting management in setting quality goals and aligning with organizational standards • Mentor and support junior QA staff in task delegation, decision-making, and professional growth • Document and maintain test artifacts to ensure quality compliance and alignment with delivery timelines • Take ownership of individual tasks, proactively manage risks, and ensure timely delivery • Evaluate and recommend new testing tools and technologies to improve test efficiency and coverage • Define and enforce QA best practices across teams and ensure adherence to process standards The ideal candidate for the position should have the following qualifications' and skills: Technical Qualifications: • Experience testing various applications, services and user interfaces by preparing test strategies, test cases and test scripts and other documentation in both, automated and manual testing for functional, system, integration and regression testing • Experience in performance testing, preferably using tools such as JMeter and others • Experience in executing SQL queries manually for back-end / migration testing with large databases in all environments • Experience working with Selenium IDE, Test-Complete, QTP, Performance and Web Service testing tool - JMeter, Soap UI and any other tool etc • Understanding of shell programming, PowerShell, Batch commands • Knowledge of NAnt and Ant tool • Understanding MS Test, NUnit, Junit, TestNG, Karma, Protractor, Jasmine, Chai, Mocha, PHPUnit or any other Unit testing framework • Understanding of test-driven development • Understanding of software development lifecycle and best practices • Understanding of agile and waterfall processes • Knowledge of software quality assurance best practices and methodologies • Familiarity with various defect management systems Education and Work Experience: • The candidate should have over 5 years of relevant experience or an equivalent combination of education and experience • Background in CS, IT or related scientific discipline

Summary: We are seeking a motivated and detail-oriented QA Fresher to join our quality assurance team. This internship is ideal for someone eager to learn how software is tested in a real-world development environment. You’ll work alongside experienced QA engineers and developers to ensure our applications meet the highest standards of quality and usability. Responsibilities: Assist in writing and executing manual test cases based on feature requirements. Help identify, log, and track bugs using QA tools under the guidance of senior team members. Participate in daily stand-ups, sprint planning, and team meetings to understand the Agile development process. Support regression, functional, and UI testing for web and mobile applications. Provide feedback on usability and help improve documentation related to QA processes. Qualifications: Currently pursuing or recently completed a degree in Computer Science, Information Technology, or a related field. Basic understanding of software testing concepts and the SDLC. Strong attention to detail and willingness to learn new tools and techniques. Good communication skills and a collaborative mindset. Familiarity with tools like Jira, TestRail, or Postman is a plus (but not required).

Role Overview We're seeking an experienced Senior Robotics QA Engineer to lead our test automation initiatives for industrial robotic systems. You'll be responsible for designing, implementing, and maintaining comprehensive test frameworks that validate robot behaviour, performance, and reliability across various industrial scenarios. This role combines deep technical expertise in robotics testing with hands-on experience in ROS-based systems and industrial automation. Key Responsibilities Test Framework Development Design and implement automated test suites for ROS-based industrial robotic systems using appropriate language choices: Python for rapid prototyping, iterative testing, and quick feature validation C++ for high-performance testing, production validation, and resource-critical scenarios Develop comprehensive testing strategies covering unit, integration, and system-level testing Create and maintain test automation frameworks leveraging rostest with unittest (Python) and gtest (C++) Implement continuous integration/continuous deployment (CI/CD) pipelines for robotics applications Optimize test execution for both development speed (Python) and production performance (C++) Industrial Robotics Testing Conduct thorough testing of industrial robot applications including pick-and-place, welding, painting, assembly, and material handling operations Validate robot safety systems, emergency stops, and fail-safe mechanisms Test robot performance under various environmental conditions and operational scenarios Perform regression testing to ensure software updates don't introduce new issues ROS Ecosystem Expertise Implement testing protocols using the complete ROS testing stack: rostest for ROS node-level integration testing unittest (Python) for library-level testing and rapid prototyping validation gtest (C++) for high-performance library testing and production code validation MoveIt2 for motion planning validation and manipulation testing Navigation2 (Nav2) for autonomous navigation and path planning testing RViz for visual testing, debugging, and validation of robot states and sensor data Understand performance trade-offs: utilize Python for fast iteration during development and C++ for throughput-intensive testing scenarios Develop integration tests for ROS nodes, services, and communication interfaces with emphasis on message rate performance and latency validation Test robot perception, navigation, manipulation, and control systems across different performance requirements Validate ROS message passing, parameter handling, and node lifecycle management in both development and production contexts Test motion planning algorithms, trajectory execution, and collision detection systems using MoveIt2 Validate autonomous navigation capabilities, obstacle avoidance, and localization using Navigation2 Simulation & Hardware Testing Design and execute tests in simulation environments (Gazebo, Isaac Sim, Unity) Coordinate hardware-in-the-loop (HIL) testing with physical robotic systems Develop mock nodes and test fixtures for isolated component testing Create realistic test scenarios that mirror real-world industrial environments Utilize RViz for visual validation and debugging of simulation environments Quality Assurance & Reporting Establish quality metrics and KPIs for robotic system reliability Generate comprehensive test reports and documentation Collaborate with development teams to identify and resolve defects Maintain test case libraries and ensure test coverage across all system components Required Qualifications Technical Skills 3+ years of experience in robotics testing or quality assurance Proficiency in ROS/ROS2 with hands-on experience in industrial robotics applications Strong programming skills in Python (for rapid prototyping and iterative testing) and C++ (for high-performance, production-level testing) Deep understanding of ROS testing ecosystem: Python unittest framework for Python-based testing Google Test (gtest) framework for C++ testing rostest for ROS node-level integration testing (combining with unittest/gtest) Motion Planning & Navigation: Experience with MoveIt2 for robot arm manipulation and motion planning testing Knowledge of Navigation2 (Nav2) for mobile robot navigation and autonomous movement validation Understanding of SLAM, localization, and path planning algorithms Visualization & Debugging: Proficiency with RViz for robot state visualization and debugging Experience in visual validation of sensor data, transforms, and robot configurations Knowledge of simulation tools: Gazebo, Unity, NVIDIA Isaac Sim Familiarity with ROS-Industrial packages and industrial robot programming Testing Expertise Experience designing test strategies that leverage both Python (for fast iteration/prototyping) and C++ (for performance-critical validation) Understanding of when to use each language: Python for rapid testing and debugging, C++ for high-throughput message handling and resource-intensive scenarios Knowledge of ROS performance testing methodologies, including message rate benchmarking and latency validation Experience with test automation frameworks and CI/CD pipelines Knowledge of behavior-driven development (BDD) and test-driven development (TDD) Understanding of various testing methodologies: unit, integration, system, regression, and performance testing Experience with property-based testing and mutation testing approaches Proficiency in test case design, test data management, and defect tracking Industrial Domain Knowledge Understanding of industrial automation processes and safety standards Experience with industrial robot applications (manufacturing, assembly, material handling) Knowledge of robotics safety protocols and compliance requirements Familiarity with PLC integration and industrial communication protocols Tools & Technologies Version control systems: Git, GitHub/GitLab Build systems: catkin, ament, CMake Containerization technologies: Docker, Kubernetes Cloud platforms for testing: AWS RoboMaker, Azure, GCP Test management and reporting tools Preferred Qualifications Master's degree in Robotics, Computer Science, or related field Experience with Robot Framework for test automation Deep understanding of ROS performance characteristics and when to choose Python vs C++ for different testing scenarios Knowledge of pyrostest and other advanced ROS testing libraries Familiarity with launch_testing framework for ROS2 Experience with hardware-in-the-loop testing setups Understanding of sensor integration and calibration testing Knowledge of motion planning algorithms and their validation Experience with performance benchmarking, message throughput testing, and latency optimization Experience with energy efficiency testing and computational resource optimization Familiarity with safety standards ( ISO 10218, ISO/TS 15066 ) Experience with MoveIt Studio for advanced motion planning workflows Knowledge of SLAM Toolbox for simultaneous localization and mapping