13681 Regression Jobs - Page 42

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 : Selenium Good to have skills : Automated Testing Minimum 3 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 and monitor 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 perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain automated test scripts to ensure comprehensive test coverage. - Collaborate with cross-functional teams to identify and resolve quality issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Selenium. - Good To Have Skills: Experience with Automated Testing. - Strong understanding of test automation frameworks and methodologies. - Experience with continuous integration and continuous deployment tools. - Familiarity with performance testing tools and techniques. Additional Information: - The candidate should have minimum 3 years of experience in Selenium. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education

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 : Selenium Good to have skills : Automated Testing Minimum 3 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 and monitor 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 perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain automated test scripts to ensure comprehensive test coverage. - Collaborate with cross-functional teams to identify and resolve quality issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Selenium. - Good To Have Skills: Experience with Automated Testing. - Strong understanding of test automation frameworks and methodologies. - Experience with continuous integration and continuous deployment tools. - Familiarity with performance testing tools and techniques. Additional Information: - The candidate should have minimum 3 years of experience in Selenium. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in Guidewire testing at PwC will specialise in testing and quality assurance activities related to Guidewire applications. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for confirming that the Guidewire applications meet the desired quality standards and perform as expected. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills Skill - GW Testing - Associate Total Experience – 2 - 5 years Edu Qualification: BTech/BE/MTech/MS/MCA Job Description - Reviewing requirements / specifications / technical design documents Designing detailed, comprehensive and well-structured Test Plans and Test Cases Setting up Test Environment & Test Data Executing tests as needed throughout the project. Analyzing and reporting test results. Identifying and tracking defects through their lifecycle. Understanding of Integration - Technical Design Document and Use Case Testing experience of any one of the Guidewire products: Policy center Experience on policy transactions, workflow ,Audits, forms inference Performing thorough testing [Smoke / System / Integration / Regression / Stabilization Possessing expertise in Test Management Tools like ALM / Jira

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 : Micro Focus LoadRunner Good to have skills : NA Minimum 3 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 developing automated scripts. You will also support data and environment configuration, participate in code reviews, and monitor and report defects to facilitate continuous improvement activities throughout the end-to-end testing process. Your role is crucial in ensuring that the quality of applications meets the highest standards, contributing to the overall success of the team and the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to ensure seamless integration of testing processes. - Develop and maintain comprehensive test plans and test cases to ensure thorough coverage of application functionalities. Professional & Technical Skills: - Must To Have Skills: Proficiency in Micro Focus LoadRunner. - Strong understanding of performance testing methodologies and best practices. - Experience with scripting languages to create and modify automated test scripts. - Familiarity with continuous integration and continuous deployment (CI/CD) processes. - Ability to analyze test results and provide actionable insights for improvement. Additional Information: - The candidate should have minimum 3 years of experience in Micro Focus LoadRunner. - This position is based at our Pune office. - A 15 years full time education is required., 15 years full time education

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled strong analytical background to work in our Analytics Consulting practice Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 2+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, AWS SageMaker or Databricks) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

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 : Selenium Good to have skills : NA Minimum 3 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 and monitor 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 perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain automated test scripts to ensure comprehensive test coverage. - Collaborate with cross-functional teams to identify and resolve quality issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Selenium. - Good To Have Skills: Experience with Automated Testing. - Strong understanding of test automation frameworks and methodologies. - Experience with continuous integration and continuous deployment tools. - Familiarity with performance testing tools and techniques. Additional Information: - The candidate should have minimum 3 years of experience in Selenium. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education

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 : Selenium Good to have skills : Automated Testing Minimum 3 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 and monitor 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 perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain automated test scripts to ensure comprehensive test coverage. - Collaborate with cross-functional teams to identify and resolve quality issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Selenium. - Good To Have Skills: Experience with Automated Testing. - Strong understanding of test automation frameworks and methodologies. - Experience with continuous integration and continuous deployment tools. - Familiarity with performance testing tools and techniques. Additional Information: - The candidate should have minimum 3 years of experience in Selenium. - This position is based at our Bengaluru office. - A 15 years full time education is required., 15 years full time education

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelors degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo),Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG) Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

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 : TOSCA Testsuite 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 engaging with various teams to ensure that testing processes are efficient and effective, while also focusing on continuous improvement and quality assurance throughout the development cycle. You will be responsible for creating and executing automated test scripts, participating in code reviews, and monitoring the overall testing process to identify areas for enhancement. Your role will be pivotal in ensuring that the applications meet the highest standards of quality and performance. 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. - Facilitate knowledge sharing sessions to enhance team capabilities. - Develop and implement best practices for testing and quality assurance. Professional & Technical Skills: - Must To Have Skills: Proficiency in TOSCA Testsuite. - Good To Have Skills: Experience with test automation frameworks. - Strong understanding of continuous integration and continuous deployment processes. - Familiarity with API testing tools and methodologies. - Experience in performance testing and monitoring. Additional Information: - The candidate should have minimum 5 years of experience in TOSCA Testsuite. - This position is based in Pune. - A 15 years full time education is required.

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled strong analytical background to work in our Analytics Consulting practice Associate’s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams. Years of Experience: Candidates with 2+ years of hands on experience Must Have Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, AWS SageMaker or Databricks) Knowledge of predictive/prescriptive analytics, especially on usage of Log-Log, Log-Linear, Bayesian Regression technques and including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) Advanced level programming in SQL or Python/Pyspark Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Good Communication and presentation skills Roles And Responsibilities Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. About the Tech@Lilly Organization: Tech@Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Tech@Lilly is that we create new possibilities through tech to advance our purpose – creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of the enterprise. About The Business Function Tech@Lilly Business Units is a global organization strategically positioned so that through information and technology leadership and solutions, we create meaningful connections and remarkable experiences, so people feel genuinely cared for. The Business Unit organization is accountable for designing, developing, and supporting commercial or customer engagement services and capabilities that span multiple Business Units (Bio-Medicines, Diabetes, Oncology, International), functions, geographies, and digital channels. The areas supported by Business Unit includes: Customer Operations, Marketing and Commercial Operations, Medical Affairs, Market Research, Pricing, Reimbursement and Access, Customer Support Programs, Digital Production and Distribution, Global Patient Outcomes, and Real-World Evidence. Job Title: ETL Automation Tester An Automation Tester at BU Tech@Lilly plays a crucial role in ensuring the reliability, performance, and quality of software products within the Business Unit IDS organization. This position involves designing and executing automated test frameworks and scripts that support commercial or customer engagement services across multiple Business Units. Utilizing cutting-edge automation tools (Selenium, Playwright, Cypress), scripting languages (Java, Python, JavaScript), and CI/CD pipelines, the Automation Tester collaborates closely with developers, QA analysts, and product teams to build robust and continuous testing strategies. Senior Automation Testers define QA best practices, optimize test coverage, and contribute to agile delivery processes, ensuring that the solutions we provide meet the highest standards of excellence. Additionally, they mentor junior testers, drive test automation architecture, and play a key role in aligning testing processes with the overarching goals of our Business Units, ultimately enhancing user satisfaction and operational efficiency. What You’ll Be Doing Design, develop, and maintain test automation frameworks for data pipelines and integration testing. Collaborate with developers, product owners, and QA team members to understand requirements and define test strategies. Drive continuous testing and integration in CI/CD pipelines using GitHub Actions, or Azure DevOps. Ensure comprehensive test coverage and defect traceability across functional and regression test suites. Identify, document, and track defects, working with development teams to ensure timely resolution. Perform code reviews and contribute to automation architecture decisions & improvements. Contribute to release planning by estimating test efforts, timelines, and risks. Develop, maintain, and document a software test environment. Create and review test reports. Implement automated regression testing tools and processes. Promote, encourage, and champion the use of automated testing. Participate in regular SAFe Agile framework team ceremonies. Create required Artifacts and get them reviewed and approved by the required stakeholders. How You Will Succeed: Deliver reliable and efficient test automation solutions that reduce manual effort and enhance product quality. Collaborate effectively across agile teams to ensure early identification and resolution of defects. Drive QA excellence by promoting coding standards, automation reusability, and continuous integration. Continuously improve test systems through framework enhancements, root cause analysis, and proactive monitoring. Communicate effectively to ensure testing transparency and stakeholder alignment. What You Should Bring Strong proficiency in test automation scripting using Java, Python, or JavaScript. Familiarity with version control systems (Git), CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and containerized environments. Good understanding of Agile testing methodologies, test planning, and defect lifecycle. Knowledge of test design techniques, test data management, and risk-based testing approaches. Experience with performance testing tools like JMeter or Gatling is a plus. A keen eye for detail, strong debugging skills, and a passion for building robust test solutions. Strong verbal and written communication skills, with the ability to collaborate across technical and non-technical teams. Basic Qualifications And Experience Requirement Bachelor’s degree in Computer Science, Engineering, or a related technical field. 6–8 years of experience in test automation across web, mobile, and API layers. Proven experience designing and maintaining scalable automation frameworks using Selenium, Cypress, or similar tools. Hands-on experience integrating automated tests into CI/CD pipelines. Experience working in Agile/Scrum environments, with strong collaboration in cross-functional teams. Working knowledge of defect tracking and test management tools such as JIRA, TestRail, or Zephyr. Familiarity with testing in cloud-based environments (AWS, Azure, or GCP) and container platforms like Docker. Demonstrated ability to mentor junior QA engineers and lead automation initiatives. Ability to translate user stories and business requirements into detailed test cases and automation scripts. Understanding of software development lifecycle (SDLC) and software testing lifecycle (STLC). 3+ years of experience on Agile, version control (GitHub) and CI/CD. ETL Tester with 3+ years of experience on SQL, Python, AWS / Azure. Data warehousing concepts. Additional Skills/Preferences Domain experience in healthcare, pharmaceutical ( Customer Master, Product Master, Alignment Master, Activity, Consent etc. ), or regulated industries is a plus. Test ISTQB Certified will be an added advantage. Partner with and influence vendor resources on solution development to ensure understanding of data and technical direction for solutions as well as delivery Exposure to security testing or accessibility testing frameworks. Ability to drive automation in a DevOps or SRE-driven environment. Additional Information N/A Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

As a Senior/Expert Quality Engineer, you must be able to provide among these: Ability to work in an autonomous, self-responsible and self-organised way. Strong Experience working with modern test automation frameworks and providing End-to-End testing strategy to integrate third party platforms using tools (e.g. Selenium, JUnit, TestNG, Cucumber etc.). Strong experience in different testing practices (from unit to load to endurance to cross-platform) specifically integrated within CI/CD. Experience in continuous testing practices in production by leveraging BOT and virtual users Experience working with CI/CD pipelines and monitoring tools (e.g. Jenkins, Kibana, Grafana, etc.). Strong Experience of API testing, REST protocol and microservice architecture concepts. Knowledge and experience with testing Event-driven architectures (EDA) using AWS SQS and Kafka. Knowledge of SQL for relational databases and Object-relational mapping tools (e.g., Hibernate, JPA). As our Expert Quality Engineer, you embrace the following responsibilities: Take ownership and responsibility for the design and development of all aspects of End-to-End testing. Work on acceptance criteria and test scenarios with the Product Owner and development team ensuring integration of third-party platforms (Tealium and Braze) are smooth and functional as per requirements. Designed, executed, and maintained test scenarios and automation capabilities for all test levels and types (e.g., automated, regression, exploratory, etc.). Create and optimize test frameworks and integrate them into deployment pipelines. Participate in the code review process for both production and test code to ensure all critical cases are covered. Monitoring test runs, application errors, data integrity btw these platforms and performance. Job opening for multiple locations

Position Overview Here at ShyftLabs, we are searching for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation. Job Responsibilities: Research, design, and develop innovative generative AI models and applications Collaborate with cross-functional teams to identify opportunities for AI-driven solutions Train and fine-tune AI models on large datasets to achieve optimal performance Optimize AI models for deployment in production environments Stay up-to-date with the latest advancements in AI and machine learning Collaborate with data scientists and engineers to ensure data quality and accessibility Design, implement, and optimize machine learning algorithms for tasks like classification, prediction, and clustering Develop and maintain robust AI infrastructure Document technical designs, decisions, and processes, and communicate progress and results to stakeholders Work with cross-functional teams to integrate AI/ML models into production-level applications Basic Qualifications: Master's degree in a quantitative discipline or equivalent 5+ years minimum professional experience Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation Excellent verbal and written communication skills, with the ability to present information and analysis results effectively Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company Statistics : must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models Machine Learning : must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation Programming : experience with Python or other scripting languages and database language (e.g., SQL) or data manipulation (e.g., Pandas) We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Description Come help us add new presentation capabilities to Alexa devices. Our goal is make Alexa an instantly familiar personal assistant that is always ready to help or entertain on devices with screens. At the core of this vision is a close-knit team that’s dedicated to providing software developers and AI systems with the primitives, services, and tools they need to easily create engaging consumer experiences across an increasingly diverse set of Alexa devices with screens – including smart screens, mobile, desktop, TVs, and automobiles. As a Quality Assurance Engineer, you will work closely with Product Management, Software Engineering, and User Experience design groups to understand product vision and customer use cases and translate them into test strategies. You will contribute to the team’s technical vision, toolchains, and roadmap, as well as execute tests against the plans you develop. Key job responsibilities The successful candidate has a strong customer focus and is obsessed with continuous quality improvement. They are committed to creating world class feature and test automation frameworks to help teams scale. They are able to develop and drive test strategies and take a hands-on approach implementing and executing them. Responsibilities Work with business and development teams to understand product vision and requirements. Understand how elements of the software ecosystem work together and develop test approaches to fit the overall strategy. Responsible for developing test plans, creating appropriate test harnesses, executing tests, reporting, and supporting teams though defect resolution. Work with a team of quality engineering professions to test code at a user level – both manually and with automated tools - to ensure highest quality product delivery. Collaborate with peers to help drive the software development process toward quality-centric methodologies. A day in the life Our team uses black box, gray box, and white box testing techniques. Team members are able to understand software internals, debug problems using log files, CRs, and write automated tests (backend and Front end UI), integ tests, and/or user-level test automation tools. QA Engineers will contribute to test framework, adding additional capabilities/features to deliver automation first approach. Software QA Engineers work with SDEs to understand features and technical implementations. You work with groups such as Product Management, Design, and Customer Support to understand customer usage models and develop test plans and test suites that approximate real-world environments and regression tests. Basic Qualifications 4+ years of quality assurance engineering experience Experience in manual testing Experience in automation testing Experience as QA lead on medium to large sized projects Preferred Qualifications Experience with at least one automated test framework like Selenium or Appium Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality Experience in leading/coordinating work for other test teams Experience troubleshooting and debugging technical systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Maharashtra Job ID: A2960391

Description Come help us add new presentation capabilities to Alexa devices. Our goal is make Alexa an instantly familiar personal assistant that is always ready to help or entertain on devices with screens. At the core of this vision is a close-knit team that’s dedicated to providing software developers and AI systems with the primitives, services, and tools they need to easily create engaging consumer experiences across an increasingly diverse set of Alexa devices with screens – including smart screens, mobile, desktop, TVs, and automobiles. As a Quality Assurance Engineer, you will work closely with Product Management, Software Engineering, and User Experience design groups to understand product vision and customer use cases and translate them into test strategies. You will contribute to the team’s technical vision, toolchains, and roadmap, as well as execute tests against the plans you develop. Key job responsibilities The successful candidate has a strong customer focus and is obsessed with continuous quality improvement. They are committed to creating world class feature and test automation frameworks to help teams scale. They are able to develop and drive test strategies and take a hands-on approach implementing and executing them. Responsibilities Work with business and development teams to understand product vision and requirements. Understand how elements of the software ecosystem work together and develop test approaches to fit the overall strategy. Responsible for developing test plans, creating appropriate test harnesses, executing tests, reporting, and supporting teams though defect resolution. Work with a team of quality engineering professions to test code at a user level – both manually and with automated tools - to ensure highest quality product delivery. Collaborate with peers to help drive the software development process toward quality-centric methodologies. A day in the life Our team uses black box, gray box, and white box testing techniques. Team members are able to understand software internals, debug problems using log files, CRs, and write automated tests (backend and Front end UI), integ tests, and/or user-level test automation tools. QA Engineers will contribute to test framework, adding additional capabilities/features to deliver automation first approach. Software QA Engineers work with SDEs to understand features and technical implementations. You work with groups such as Product Management, Design, and Customer Support to understand customer usage models and develop test plans and test suites that approximate real-world environments and regression tests. Basic Qualifications 4+ years of quality assurance engineering experience Experience in manual testing Experience in automation testing Experience as QA lead on medium to large sized projects Preferred Qualifications Experience with at least one automated test framework like Selenium or Appium Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality Experience in leading/coordinating work for other test teams Experience troubleshooting and debugging technical systems Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Maharashtra Job ID: A2960391

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way. Location: Chennai, India Team: Marketing Digital Transformation Job Type: Full-Time, Hybrid (In-Office 2-3/times per week mandatory) Experience Level: Mid-Level (5+ years) About the Role: We are seeking a highly skilled and motivated Data Scientist to join our team within the Marketing Digital Transformation organization. In this role, you will leverage your analytical skills, machine learning knowledge, statistical acumen and Gen AI-proficiency to uncover insights from marketing data and drive data-informed decision-making across campaigns, customer engagement, and digital experiences. Key Responsibilities: Apply statistical and machine learning techniques to solve real-world marketing problems (e.g., customer segmentation, churn prediction, marketing attribution). Design and analyze experiments, including A/B testing frameworks, to support marketing optimization efforts. Build, evaluate and deploy predictive models using Python and associated data science libraries Develop reproducible data science workflows and analysis in Jupyter Notebooks Translate complex data findings into actionable insights via compelling stories told over dashboards and visualizations Collaborate with marketing strategists, campaign managers, and other cross-functional stakeholders to define data needs and deliver impactful solutions Support our segmentation leads by performing targeted data analysis, identifying meaningful customer patterns, and contributing to the development and refinement of audience segments Work with structured and unstructured data; design and manage efficient data pipelines and database structures Evaluate data quality and propose improvements, including data cleaning strategies, enhanced data collection methods, and other initiatives to ensure reliable and actionable data. Collaborate closely with visualization engineers and data engineers to ensure seamless integration of data workflows, visualizations, and scalable data infrastructure. Key Qualifications: Education & Experience: Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related field. Minimum of 5 years of experience in a Data Science role, preferably with a focus on marketing or customer analytics Technical and Human Skills: Strong proficiency in Python for data analysis, statistical modeling, and machine learning Solid understanding of frameworks such as regression analysis, classification models, time series analysis, explainable ML/AI (e.g. SHAP), A/B testing, and experimental design Proficiency with SQL and strong understanding of data structures and databases Experience with Jupyter Notebooks is required; AWS Cloud Services/Snowflake experience is a plus (SageMaker, s3, Athena, Lambda…) Experience with Tableau or similar dashboarding/BI tool Knowledge of how to integrate Generative AI tools into data science workflows to enhance productivity, creativity, and insight generation Advanced professional proficiency in English, both written and verbal. Ability to work independently and collaboratively in a fast-paced, business-oriented, data-driven environment Strong communication skills with the ability to present and engage with non-technical stakeholders Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you! We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location. All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.

Job Description: We are seeking a highly skilled and motivated QA Engineer with 3-10 years of experience in functional and automation testing to join our dynamic team. The ideal candidate will have strong analytical skills, a deep understanding of software testing methodologies, and hands-on experience in designing, implementing, and executing both manual and automated test cases. You will play a key role in ensuring the quality and reliability of our software products by identifying defects early in the development lifecycle and improving overall product performance. Functional Testing: End-to-end testing, Regression testing, Integration testing, System testing, and UAT. Automation Testing: Development of robust automation frameworks using tools like Selenium, Playwright. Test Management Tools: JIRA, HP ALM, Zephyr, TestRail. Programming Languages: Proficient in Java, or Python, for test automation. Overall, Purpose: Ensure the quality and performance of new and existing applications and interfaces by systematically validating and verifying software functionality, performance, and security through comprehensive testing methodologies. Key Roles and Responsibilities: Typical tasks may include, but are not limited to, the following: Test Planning and Execution: Develop and execute comprehensive test plans and cases, including manual and automated testing, to ensure software quality. Defect Management: Log, track, and manage defects through resolution, ensuring thorough retesting and issue resolution. Performance and Security Testing: Conduct performance, load, stress, and security tests to ensure application reliability, scalability, and compliance. Collaboration and Requirement Analysis: Work closely with development teams to review and understand software requirements, ensuring clear, complete, and testable specifications. Automation and Continuous Improvement: Develop automated test scripts and implement best practices to enhance efficiency and quality assurance processes. Position Overview: As a Manual Tester, you will play a crucial role in ensuring the quality and functionality of software applications before they reach end-users. You will meticulously test software products, identify defects, and collaborate with development teams to deliver a seamless and bug-free user experience. Design and execute detailed manual test cases based on functional and technical specifications. Perform thorough regression, integration, system, and user acceptance testing (UAT). Identify, document, and track software defects using bug tracking tools. Collaborate closely with developers, business analysts, and product owners to understand requirements and clarify ambiguities. Validate fixes and verify that issues have been resolved effectively. Participate in test planning and contribute to continuous improvement of testing processes. Provide clear and concise test reports and status updates to stakeholders. Ensure adherence to quality standards and best practices throughout the software development lifecycle Required Skills and Qualifications: Proven experience in manual testing of web and/or mobile applications. Strong understanding of software testing methodologies, life cycle, and best practices. Experience with test case design and defect management tools. Excellent analytical and problem-solving skills with keen attention to detail. Good communication skills to effectively report issues and collaborate within teams. Ability to work independently and manage multiple testing tasks simultaneously. Basic understanding of SQL and ability to validate data in databases is a plus. Familiarity with Agile/Scrum development processes is advantageous. Job Contribution: A professional with solid knowledge of fundamental concepts and organizational practices, working on smaller projects. Exercises judgment in the absence of prescribed guidelines or policies determine appropriate action. Works under minimal supervision with independent judgement. Actions impact efficiency and costs. Interacts primarily within the department, across various teams. Supervisor: No TCP Career Step Differentiator: Performs hands on testing for less complex application/code changes. Education/Experience: Bachelor’s degree desired in Computer Science. 1+ years of related experience. Certification is required in some areas. Weekly Hours: 40 Time Type: Regular Location: Bangalore, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Role - QA Engineer I/II Experience - 2+ yrs Location - Mumbai Work from office About Us We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast. The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence in India, UAE & UK with close to 50 brands and 4500+ internet restaurants has been built on The Rebel Operating System. While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core . We urge you to refer to the below to understand how we are changing the restaurant industry before applying at Rebel Foods. https://spirit.rebelfoods.com/why-is-rebel-foods-hiring-super-talented-engineers-b88586223ebe https://spirit.rebelfoods.com/how-to-build-1000-restaurants-in-24-months-the-rebel-method-cb5b0cea4dc8 https://spirit.rebelfoods.com/winning-the-last-frontier-for-consumer-internet-5f2a659c43db https://spirit.rebelfoods.com/a-unique-take-on-food-tech-dcef8c51ba41 Software Engineering @ Rebel Software Engineering @ Rebel comprises of most of the components of a customer-centric internet commerce company and problem statements of scalable and distributed systems. We believe in applying engineering excellence and operational excellence in all the areas of compute, storage, network to build & operate efficient systems. While we work on open-source, cloud-managed and enterprise tech stacks in Frontend (web/mobile), Backend (API layers), Caching, Async Processing/Queuing, Databases (SQL,NoSQL), ERP, CRM, Analytics, Big Data (Hadoop, Spark, MongoDB etc), Data Science (ML) etc, we also work/evaluate on many emerging tech stacks like NLP, AI/IOT, Robotics + Automations, Bots, Voice, Vision computing, Blockchain etc to solve many use cases around different verticals of FoodTech. The teams have built more than 30 different systems in-house to tackle the massive complexity of a multi-brand operation while keeping business metrics supremely efficient and optimized. Future of Software Engineering @ Rebel Rebel Engineering function is working on Software + Robotics + Automation to solve the toughest problems in an integrated fashion for our customers and to make their food experiences unique, memorable and delightful & sure. We believe in continuous adoption of emerging technologies to solve customer problems in fast and innovative fashion. Technology and data are the backbone for us to disrupt this industry and build the most loved experiences for customers. The Role We are in the lookout for someone who is passionate about technology to solve known/unknown business & customer use cases. We are looking for QA engineers who can think of a business problem from end users’ perspective and believe in building and delivering quality prod ucts.In this role, you will be responsible for writing and/or automating end to end test cases, preparing regression suite plan, sanity test suites, designing and running tests on software usability. You should have a working knowledge of software and test design, the capability to run through tests, and the ability to analyze the results, run linux commands to verify logs & production issues and write SQLs for data verifications. We expect you to be a good problem solver and an out of box thinker. Exposure to common technologies like web technologies, caching, queuing, databases (SQL), Big Data, Storage systems, monitoring tools, cloud technologies etc is also he lpful.You will work closely with the Product and Engineering teams and will report to the Engineering Manager. The Rebel Culture We believe in empowering and growing people to perform the best at their job functions. We follow outcome-oriented, fail-fast iterative & collaborative culture to move fast in building tech solutions. Rebel is not a usual workplace. The following slides will give you a sense of our culture, how Rebel conducts itself and who will be the best fit for our company. We suggest you go through it before making up your mind. Culture@RebelFoods.pdf

Summary The Sr Software Quality Engineer is a hands-on daily contributor who performs complex testing tasks requiring planning, scheduling, and testing to assure that developed products meet design specifications and are within total quality management limits and standards. They will communicate with product, developers and technical support specialists on product issues; operate under general supervision and report to the Software Quality Engineering Manager. This position requires five to eight years of experience in software quality engineering and a strong automation background. Duties And Responsibilities Understanding the flow of code and how it interacts with different components. Understanding project documents, customer demands, and product objectives to create and execute test cases. Setting up, maintaining, and performing test automation frameworks on multiple application platforms, such as Mobile, Desktop, and Web, and building test scenarios and acceptance tests. Investigating customer problems referred to you by the technical support team, testing bugs, and creating and managing bug reports. Handling technical communications and understanding the customers' systems. Working with deployments teams, resolving level issues for systems, coordinating on product design, and offering inputs on the testability of functional elements and product designs. Analyzing and disintegrating software systems and coordinating with other teams to fix bugs and feature changes. Researching test tools, methodologies, and trends and upgrading existing practices and processes. Managing the final quality on production release. Involving with incident management processes. Conduct and analyze daily automated regression tests and smoke tests EDUCATION And/or EXPERIENCE Software Quality Engineering experience including web application testing - including functional, systems integration testing, automation, performance, security Expert programming in several high level languages (C#, Java C++, Perl) Extensive experience with RestAssured and/or Selenium for web page testing Ability to communicate effectively with management at all levels relative to test requirements, strategies, approaches and results Bachelor’s degree in Computer related field preferred with five (5) to eight (8) years experience and/or equivalent work experience. Experience leading and mentoring multiple teams and projects required; or equivalent education and experience to successfully perform the essential duties of the job. Must Have KNOWLEDGE, SKILLS AND ABILITIES Be a team player with strong team spirit. Excellent designing and programming skills. Knowledge of C# programming languages and process management methodology. Experience in Selenium WebDriver and best practices is must. Agile/Scrum process experience is required. Knowledge of test methodologies and their corresponding tools. ISTQB Certification. Exposure to Behavior Driven Development and experience in programming and testing. Experience in TDD and KDD will be an advantage. The ability to recognize risks and errors in an application. A passion for testing, development, and design. Knowledge of React and Angular will be a plus point. Experience on Microsoft Azure or/and AWS cloud environment will be beneficial. Working with tools/platforms such PowerBI, SauceLab, report portal would be an added advantage. Excellent designing and programming skills. Who We Are At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com. Job: Software Quality Job Family: ENGINEERING Organization: Virtual Learning Schedule: FULL_TIME Workplace Type: Hybrid Req ID: 16623

Location : Bangalore, Chennai, Pune & Hyderabad Data Scientist AI / RPA Hands on experience (minimum 2yrs, maximum 10yrs) in applying statistical methods, ML algorithms to large data sets for deriving insights/predictions using python/R packages. Looking for an expert on using data science related packages like sk learn and data manipulation packages like pandas, dask. Experience in modeling techniques like classifications, regression time series analysis, deep learning, text mining and NLP. Experience in analyzing the problem statements and coming up with different solutions by creating POC. Must have experience in collecting relevant data as per the problem statement and cleansing the data. Basic knowledge of writing sql queries. Must have knowledge on big data concepts like Hadoop and hive. One should have experience ML programming and analytical skills. About Finacle Finacle is an industry leader in digital banking solutions. We partner with emerging and established financial institutions to inspire better banking. Our cloud-native solution suite and SaaS services help banks to engage, innovate, operate, and transform better. We are a business unit of EdgeVerve Systems, a wholly-owned product subsidiary of Infosys – a global technology leader with over USD 15 billion in annual revenues. We are differentiated by our functionally rich solution suite, composable architecture, culture, and entrepreneurial spirit of a start-up. We are also known for an impeccable track record of helping financial institutions of all sizes drive digital transformation at speed and scale. Today, financial institutions in more than 100 countries rely on Finacle to help more than a billion people and millions of businesses to save, pay, borrow, and invest better. Finacle website ( https://www.edgeverve.com/finacle/solutions/ ) Disclaimer: - Edgeverve Systems does not engage with external manpower agencies or charge any fees from candidates for recruitment. If you encounter such scams, please report them immediately.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Analytics Consultant Chennai Data Engineer specializing in Machine Learning is responsible for designing, building, and maintaining the data infrastructure that supports machine learning initiatives. The Data Engineer will develop and optimize data models, implement data integration processes, and ensure data quality and accessibility for analytics and machine learning applications. The ideal candidate will have a strong background in data engineering, experience with ML frameworks, and a passion for transforming data into actionable insights. To qualify for the role, you must have Bachelor’s degree in business, Proven experience as a Data Engineer in a software development environment. Strong understanding of Data Integration Excellent communication, facilitation, and coaching skills. Ability to work collaboratively in a fast-paced environment. Proficient in Python and Machine Learning Ideally you will also have: Python Development: Develop, test, and maintain high-quality Python code Utilize advanced Python features, including classes and object-oriented programming, to create efficient and reusable code. Leverage data manipulation libraries such as Pandas and NumPy to process and analyze large datasets effectively. Machine Learning Integration: Collaborate with cross-functional teams to integrate ML models into existing systems and applications. Apply knowledge of basic ML algorithms, including Linear Regression, Logistic Regression, and Random Forest, to solve real-world problems. Identify key outcomes of ML models and communicate findings to stakeholders in a clear and concise manner. Statistical Analysis: Conduct statistical hypothesis testing to validate model results and ensure the reliability of conclusions drawn from data. Interpret the results of statistical analyses and present insights in a client-facing manner, ensuring that complex concepts are easily understood by non-technical audiences. Cloud Technologies: Utilize Azure Cloud services and Azure Databricks for data processing, model training, and deployment. Optimize cloud resources to enhance performance and reduce costs associated with ML projects. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Analytics Consultant To qualify for the role, you must have 1 -5 years of experience in Analytics and HR consulting domain Minimum 2 years of experience in leading global HR analytics projects including predictive analytics, modelling, descriptive analysis, logistical and regression analysis to HR function related or people related challenges Master’s degree in Analytics or HR full time MBA/EMBA Experience in master data management and data governance processes Working knowledge of HR Systems and other HR data sources Ideally, you’ll also have Strong expertise in Analytics, experience of leading an analytics project for global clients with experience in one or more statistical tools and techniques including – Proven skills in the following: R,Python, Alteryx, PowerApps, Power Automate, Advance Excel (VBA & Forms), Proven track record of data extraction/transformation analytics, and visualization approaches and a high degree of data fluency Descriptive analysis, logistical and regression analysis Experience working on GenAI/LLMs is a good to have Experience in big data and machine learning concepts Experience in statistics, predictive analytics, modelling and application of predictive to HR function related or people related challenges Experience in consulting for global organizations, across industry in the areas of Workforce planning & restructuring Survey analytics Recruitment Analytics Survey Analytics Learning & Development Analytics Clustering Experience in determining Key People Metrics by analysing data sets & identifying trends Strong expertise in data cleansing, validation, reconciliation, model creation. Experience in managing data, deriving insights and reporting that enable business decision making and provide financial impact of a transaction Experience in stakeholder management. Experience in client management Excellent written and verbal communications EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Title : AI/ML Ops Engineer Location: Ahmedabad - Onsite Duration: 2-4 years experience (Candidates below 2 year and above 4 years - PLEASE DO NOT APPLY) About the Role We are seeking an experienced AI/ML Ops Engineer to join our team and drive the development, deployment, and operationalization of machine learning and large language model (LLM) systems. You will be responsible for building scalable ML pipelines, enabling intelligent retrieval-augmented generation (RAG) capabilities, and deploying services that power intelligent enterprise applications. Key Responsibilities Develop and maintain machine learning models to forecast user behavior using structured time-series data. Build and optimize end-to-end regression pipelines using advanced libraries such as CatBoost, XGBoost, and LightGBM. Design and implement RAG (Retrieval-Augmented Generation) pipelines for enterprise chatbot systems utilizing tools like LangChain, LLM Router, or custom-built orchestrators. Work with vector databases for semantic document retrieval and reranking. Integrate external APIs into LLM workflows to enable tool/function calling capabilities. Package and deploy ML services using tools such as Docker, FastAPI, or Flask. Collaborate with cross-functional teams to ensure reliable CI/CD deployment and version control practices. Core Technologies & Tools Languages: Python (primary), Bash, SQL ML Libraries: scikit-learn, CatBoost, XGBoost, LightGBM, PyTorch, TensorFlow LLM & RAG Tools: LangChain, Hugging Face Transformers, LlamaIndex, LLM Router Vector Stores: FAISS, Weaviate, Chroma, Pinecone Deployment & APIs: Docker, FastAPI, Flask, Postman Infrastructure & Version Control: Git, GitHub, CI/CD pipeline Preferred Qualifications Proven experience in ML Ops, AI infrastructure, or productionizing ML models. Strong understanding of large-scale ML system design and deployment strategies. Experience working with vector databases and LLM-based applications in production.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Analytics Consultant To qualify for the role, you must have 1 -5 years of experience in Analytics and HR consulting domain Minimum 2 years of experience in leading global HR analytics projects including predictive analytics, modelling, descriptive analysis, logistical and regression analysis to HR function related or people related challenges Master’s degree in Analytics or HR full time MBA/EMBA Experience in master data management and data governance processes Working knowledge of HR Systems and other HR data sources Ideally, you’ll also have Strong expertise in Analytics, experience of leading an analytics project for global clients with experience in one or more statistical tools and techniques including – Proven skills in the following: R,Python, Alteryx, PowerApps, Power Automate, Advance Excel (VBA & Forms), Proven track record of data extraction/transformation analytics, and visualization approaches and a high degree of data fluency Descriptive analysis, logistical and regression analysis Experience working on GenAI/LLMs is a good to have Experience in big data and machine learning concepts Experience in statistics, predictive analytics, modelling and application of predictive to HR function related or people related challenges Experience in consulting for global organizations, across industry in the areas of Workforce planning & restructuring Survey analytics Recruitment Analytics Survey Analytics Learning & Development Analytics Clustering Experience in determining Key People Metrics by analysing data sets & identifying trends Strong expertise in data cleansing, validation, reconciliation, model creation. Experience in managing data, deriving insights and reporting that enable business decision making and provide financial impact of a transaction Experience in stakeholder management. Experience in client management Excellent written and verbal communications EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Exp: 4-8 yrs Must Have Skills: MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo, Snowflake, Modeling Fundamentals & Linear Regression, ML Flow Budget 25 LPA Location: Remote (Permanent Work from home) PFB Details: Mode : Remote Job timings : General shift Total interview rounds : 2 Technical round, 1 client round Job description: ML engineer. Ability and experience to deploy models on Snowflake; More experience in handling the machine learning pipelines & ML engineering e.g. managing ML pipeline ML pipeline and DevOps experienced candidate is more relevant for the client Focus on usage of MLflow to monitor performance of models Some data engineering exposure is important as this person will work as a bridge between MPG's internal Data engineering team and ML team DE skill: Experience in Snowflake data platform and infrastructure/ Snow-park should be known Data Science theoretical or DS. Primary Skill- Modeling Fundamentals & Linear Regression, Snowflake, MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo, ML Flow Secondary Skill- Stanford NER / Core NLP intrested share resume at talent.acquisition@iqanalytic.com