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5.0 - 8.0 years

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Pune, Maharashtra, India

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Project Description: The WMI Core stream provides Core Banking capabilities across WM International locations, and works towards integration and synergies across WMI locations, driving capability-driven and modular platform strategy for Core Banking. We are seeking a Technical Lead with strong experience in Temenos Transact development, particularly in core banking customizations, interfaces, and API integrations. This role requires hands-on leadership to deliver scalable and maintainable banking solutions. Responsibilities: Lead the design, development, and customization of Temenos Transact (T24) modules. Develop and enhance local developments, AA products, and integration components. Define and implement API-based integrations with external systems (internal/external APIs, OFS, TCI). Guide and mentor a team of developers, ensuring adherence to coding standards and best practices. Collaborate with Business Analysts and Solution Architects for technical feasibility and solution design. Conduct code reviews, unit testing, and performance optimizations. Support DevOps practices for automated builds, deployments, and version control. Mandatory Skills Description: Hands-on experience 5-8 years' in both functional and automation testing. Proficiency in backend, UI, and database testing. Hands-on testing experience for REST / SOAP services, KAFKA / MQ event-based applications. A solid understanding of requirements analysis, test case creation, regression testing, and defect tracking. Familiarity with agile best practices. Programming languages: Java or Kotlin. Build tools: Maven or Gradle. BDD testing frameworks. Nice-to-Have Skills Description: Experience in Agile Framework Show more Show less

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1.0 - 4.0 years

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Pune, Maharashtra, India

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Job Title: Software Development Engineer in Test About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/. Role Overview: Trellix is looking for quality engineers who are self-driven and passionate to work on on-prem/cloud products that cover SIEM, EDR, and XDR technologies. This job involves manual, automated testing (including automation development), non-functional (performance, stress, soak), security testing and much more. Work smartly by using cutting edge technologies and AI driven solutions. About the role: Champion a quality-first mindset throughout the entire software development lifecycle. Develop and implement comprehensive test strategies and plans for a complex hybrid application, considering the unique challenges of both on-premise and cloud deployments. Collaborate with architects and development teams to understand system architecture, design, and new features to define optimal test approaches. Peruse the requirements documents thoroughly and thus design relevant test cases that cover new product functionality and the impacted areas. Design, develop, and maintain robust, scalable, and high-performance automated test frameworks and tools from scratch, utilizing industry-standard programming languages (e.g., Python, Java, Go). Manage and maintain test environments, including setting up and configuring both on-premise and cloud instances for testing. Execute new feature and regression cases manually, as needed for a product release. Familiarity with bug tracking platforms such as JIRA, Bugzilla, etc. is essential. Filing defects effectively, i.e., noting all the relevant details that reduce the back-and-forth, and aids quick turnaround with bug fixing, is an essential trait for this job Identify cases that are automatable, and within this scope, segregate cases with high ROI from low-impact areas to improve testing efficiency Analyze test results, identify defects, and work closely with development teams to ensure timely resolution. Willing to explore and increase understanding on Cloud/ On-prem infrastructure About you: 1-4 years of experience in an SDET role with a relevant degree in Computer Science or Information Technology is required Show ability to quickly learn a product or concept, viz., its feature set, capabilities, and functionality. Solid fundamentals in any programming language (preferably, Python or go) and OOPS concepts. Also, hands-on with any of the popular CI/CD tools such as Teamcity, Jenkins or similar is a must RESTful API testing using tools such as Postman or similar is a must Familiarity and exposure to AWS and its offerings, such as, S3, EC2, EBS, EKS, IAM, etc., is required. Exposure to Docker, Helm, GitOps is an added advantage. Extensive experience designing, developing, and maintaining automated test frameworks (e.g., Playwright, Selenium, Cypress, TestNG, JUnit, Pytest). Experience with API testing tools and frameworks (e.g., Postman, Rest Assured, OpenAPI/Swagger). Good foundational knowledge in working on Linux based systems. This includes setting up git repos, user management, network configurations, use of package managers, etc. Hands-on with functional and non-functional testing, such as, performance and load, is desirable. Any level of proficiency with prometheus, grafana, service metrics, would be nice to have Understanding of cyber security concepts would be helpful. Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Show more Show less

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4.0 years

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Pune, Maharashtra, India

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Job Summary: We are looking for a skilled ETL Tester with hands-on experience in validating data pipelines and data transformations in an AWS-based ecosystem . The ideal candidate should have a strong background in ETL testing, a solid understanding of data warehousing concepts, and proficiency with tools and services in AWS like S3, Redshift, Glue, Athena, and Lambda. Key Responsibilities: Design and execute ETL test cases for data ingestion, transformation, and loading processes. Perform data validation and reconciliation across source systems, staging, and target layers (e.g., S3, Redshift, RDS). Understand data mappings and business rules; write SQL queries to validate transformation logic. Conduct end-to-end testing including functional, regression, and performance testing of ETL jobs. Work closely with developers, data engineers, and business analysts to identify and troubleshoot defects . Validate data pipelines orchestrated through AWS Glue, Step Functions, and Lambda functions . Utilize Athena and Redshift Spectrum for testing data stored in S3. Collaborate using tools like JIRA, Confluence, Git, and CI/CD pipelines . Prepare detailed test documentation including test plans, test cases, and test summary reports. Required Skills: 3–4 years of experience in ETL/Data Warehouse testing . Strong SQL skills for data validation across large datasets. Working knowledge of AWS services such as S3, Redshift, Glue, Athena, Lambda, CloudWatch. Experience testing batch and streaming data pipelines . Familiarity with Python or PySpark is a plus for data transformation or test automation. Experience in using ETL tools (e.g., Informatica, Talend, or AWS Glue ETL scripts). Knowledge of Agile/Scrum methodology . Understanding of data quality frameworks and test automation practices . Good to Have: Exposure to BI tools like QuickSight, Tableau, or Power BI. Basic understanding of data lake and data lakehouse architectures . Experience in working with JSON, Parquet , and other semi-structured data formats. Show more Show less

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3.5 years

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Pune, Maharashtra, India

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Hiring Across all the levels . Location- Pune Preferred/ Gurgaon Mandatory Skillset Validated systems testing expertise Validated Systems Testing and end to end test management expertise + Strong client engagement Validated Systems Testing and end to end test management expertise Responsibilities: Contribute to project’s overall Computer System Validation deliverables. Create and execute test scenarios; select the best testing methodologies, techniques and evaluation criteria for testing. Draft, review and approve validation deliverables such as user requirements, technical design specifications, IQ/OQ/PQ scripts and reports, error logs, configuration document, traceability matrix and document 21 CFR Part 11 and EU Annex 11 compliance. Build automation scripts and help the leads in the designing/configuring the test automation frameworks. Understand the various testing activities: Unit, System, Component, User Acceptance, Performance, Integration and Regression. Participate in user story mapping, sprint planning, estimation, and feature walk-throughs. Experience in leading junior test analysts, assigning and tracking tasks provided to team members. Manage end to end testing / validation lifecycle on applications likes - Solution Manager, JIRA, and HP ALM (desired). Self - motivated, team-oriented individual with strong problem-solving abilities Evaluate risks, assess closure requirements, and process change controls for computerized systems. Define key test processes, best practices, KPIs, collateral. Well verse with ETL or automation testing. Qualifications: Bachelor's/master’s degree in engineering, Science, Medical or related field. Hands-on experience in Computer System Validation of Applications and Infrastructure Qualification. A minimum of 3.5-11 years of experience in computer systems validation and hands on experience within GxP (GCP/GMP regulated environment (FDA, EU, MHRA)). Experience in managing and leading testing related activities. Experience in creating test scenarios and testing protocols (IQ/OQ/PQ/UAT) within the various SDLC or Agile phases as per the standard GxP protocol. In-depth understanding of defect management processes. Strong SQL skills for data validation and development of expected results. Hands on Test Management Tool – JIRA and HP ALM. Experience in defining risk-based strategies for validation of computerized systems and author review end-to-end CSV documentation in accordance with various test plans. Understanding CSV and project related SOP’s and WI’s. Well versed in Good Documentation Practices. Show more Show less

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3.0 years

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Noida, Uttar Pradesh, India

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Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

Posted 21 hours ago

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8.0 years

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Mumbai, Maharashtra, India

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Data Science Subject Matter Expert Experience - 8 - 10 Years US EST hours - 8 AM-5 PM Budget - 45LPA Location Lower Parel, Mumbai (Onsite) Job Requirements: 6 to 7 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) Experience Developing Machine Learning / Data Science models, from coding to deployment 2+ years of experience in teaching or training. 3+ Years of Hands-on Hybrid Development experience preferred. Skills Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) Project Management background preferred. Knowledge of the Consulting/Sales structure. Empathy and service attitude Fast-paced Project Management experience Desirable previous international experience (US, Canada, or Europe) Leading consultants to grow and create tangible benefits and assets. Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position Collecting data through means such as analyzing business results or by setting up and managing new studies Transferring data into a new format to make it more appropriate for analysis Build tools to automate data collection Compare and analyze provided statistical information to identify patterns, relationships, and problems Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Ability to compile and organize statistical information retrieved and present findings to management Faculty to work toward multiple deadlines simultaneously Strong problem-solving skills with an emphasis on product development. Certification in a Cloud-Based/Machine Learning service desirable Show more Show less

Posted 21 hours ago

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5.0 years

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Ahmedabad, Gujarat, India

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We are looking for an experienced Machine Learning Engineer to join our team. The ideal candidate should have a strong background in developing, implementing, and deploying machine learning models on edge platforms. With at least 5 years of overall experience and at least 3 years of machine learning experience, you will significantly contribute to our projects, driving innovation and delivering high-quality solutions. Responsibilities: ● Design, develop, and deploy machine learning models and algorithms on the edge platforms. ● Perform data analysis and feature engineering to enhance model performance. ● Collaborate with cross-functional teams to integrate ML solutions into existing systems. ● Monitor and maintain deployed models, ensuring optimal performance and reliability. ● Stay current with the latest advancements in machine learning and AI. ● Document processes and best practices for machine learning workflows. ● Troubleshoot and resolve issues related to ML models and data pipelines. Experience & Background Requirement: ● Bachelor's or Master's degree in Engineering or equivalent. ● Minimum of 7+ years of overall experience. ● Minimum of 7 years of machine learning experience. ● Proficiency in programming languages such as Python, C, C++. ● Experience with any of HW platforms like NXP, NVidia, Qualcomm, Synaptcis . ● Strong understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, neural networks). ● Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Matplotlib, OpenCV). ● Knowledge of data preprocessing, feature engineering, and model training/evaluation. ● Experience with data storage and processing technologies (e.g., SQL, JSON, XML). ● Excellent problem-solving and analytical skills. ● Strong communication and collaboration abilities. ● Experience of streaming and GUI development is an advantage. Show more Show less

Posted 22 hours ago

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3.0 years

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Pune, Maharashtra, India

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Greetings! Please find the JD below, if you find interested, please share your update profile asap to below mail id nitin.1@zensar.com. Note: Looking for only immediate joiners. Key Responsibilities: Develop and maintain test automation frameworks for frontend and backend systems using Java and related tools Write and execute automated test scripts for UI, API, and backend services. Test containerized applications in Docker and Kubernetes environments, and cloud platforms (AWS, Azure, GCP). Collaborate with developers and QA team members to identify test requirements and ensure test coverage. Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI). Analyze test results, identify bugs, and work with the development team to resolve issues. Maintain and enhance test environments and test data management, and write complex SQL queries Participate in Agile/Scrum ceremonies and contribute to sprint planning and retrospectives. Required Skills and Qualifications: Bachelor’s degree in computer science, Engineering, or a related field. 3+ years of experience in test automation using Java Strong programming skills in Java, JavaScript, or Python. Strong knowledge of Selenium WebDriver, TestNG/Junit. Experience with REST API testing using Postman or Rest Assured, and JSON/XML. Familiarity with version control systems (e.g., Git). Experience with CI/CD tools like Jenkins, Maven, or Gradle. Solid understanding of software testing principles, including functional, regression, integration, and performance testing. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Familiarity with microservices and container orchestration. Strong debugging and analytical skills Nice-to-Haves: Experience with AI/ML testing tools. Experience with BDD frameworks like Cucumber. Knowledge of cloud platforms (AWS, Azure, GCP). Knowledge of Infrastructure as Code (Terraform, Ansible). Familiarity with containerization tools like Docker and Kubernetes. Exposure to performance testing tools like JMeter or Gatling or K6 Exposure to mobile testing (Appium), Playwright Conduct security testing using OWASP ZAP or Burp Suite. Show more Show less

Posted 22 hours ago

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5.0 years

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Andhra Pradesh, India

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P2-C1-TSTS We are seeking a QA Automation Engineer with 5+ years of experience in software testing, with a strong focus on automation and banking domain expertise, preferably in the lead-to-deal area. The role requires hands-on experience in test automation using Katalon Studio and strong collaboration within Agile teams to deliver high-quality enterprise applications. Key Responsibilities Design, develop, and maintain automated and manual test cases to support functional, integration, and regression testing. Develop and execute automation scripts using Katalon Studio. Collaborate with cross-functional teams to understand business requirements and translate them into test scenarios. Focus testing around banking workflows, especially in lead-to-deal processes. Document defects clearly and follow through on resolution and retesting. Ensure traceability from requirements to test cases and deliverables. Participate in Agile ceremonies, sprint planning, and daily stand-ups. Support release readiness by performing end-to-end system testing and test reporting. Required Skills & Experience 5+ years of experience in QA/testing, with strong hands-on expertise in automation. Banking domain experience is required, preferably in the lead-to-deal area. Proven skills in Katalon Studio for automation scripting and execution. Solid foundation in HTML, CSS, JavaScript, and test case design principles. Good understanding of test processes, QA methodologies, and Agile development practices. Experience working with PostgreSQL for test data validation is a plus. Strong analytical and debugging skills, with attention to detail. Excellent communication and documentation skills. Qualifications Bachelors degree in Computer Science, Information Technology, or a related field. Experience in Agile environments delivering enterprise-grade software in the banking/financial services domain. Ability to work independently and within teams to ensure high-quality releases. Show more Show less

Posted 22 hours ago

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4.0 years

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Bengaluru, Karnataka, India

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At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t What you’ll do for us: Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. Use latest advancements in AI/ML to solve business problems Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed. Develop or optimize modules to call web services for real time integration with externa systems Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects What you’ll have: Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning. Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc. Should be from a statistical background. Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field Languages: Python and/or R for Data Science Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. Characteristics: Independent thinkers Strong presentation and communications skills We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. Nice to have: Experience with SQL, databases and ETL tools or similar is optional but preferred Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable Experience in implementing planning applications will be a plus Understanding of Supply Chain Concepts will be preferable Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field What we’ll do for you Competitive salary with stock options to eligible candidates Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Great people and unlimited fun at work Possibility to make a difference in a scale-up environment. Opportunity to travel onsite in specific phases depending on project requirements. Support network: Work with a team you can learn from everyday. Diversity: We pride ourselves on our international working environment. Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared How the process works Apply by clicking the button below You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer. During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application. We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion. Our recruiter will let you know if you’re the successful candidate. Good luck! More about us … With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore an d Munich. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law Show more Show less

Posted 23 hours ago

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3.0 years

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New Delhi, Delhi, India

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At AlgoSec, What you do matters! Over 2,200 of the world’s leading organizations trust AlgoSec to help secure their most critical workloads across public cloud, private cloud, containers, and on-premises networks. Join our global team, securing application connectivity, anywhere. We are hiring an experienced bright Automation team leader to lead a team focusing on core functionalities of the security management solution. You will lead a global team of automation tests developers and take part in automation and manual testing activities, ensuring our products are being released in the highest quality. Reporting to: QA Group Manager Location: Gurgaon, India Direct employment Main Responsibilities Lead by example and drive your team members to excellence Accountable for the team's deliveries Design, create and execute automation scripts using Java and Selenium. Support, maintain, and enhance all test case automation related activities during iterative development and regression testing. Review user stories and functional requirements. Assist with manual testing; execute manual test cases and scripts for products under development using test management/tracking tools. Create and maintain test plans, cases, scenarios/scripts, in compliance with defined QA standards and methodologies. Working in scrum methodology. Requirements: B.Sc. in Computer Sciences/Engineering or equivalent experience At least 3 years of experience in leading QA/Automation development teams At least 5 years of experience writing automatic tests in object-oriented programming: Java Experience in developing complex automation tests for client side (Selenium), server side (API) and DB At least 50% hands-on developing automation in the last 2 years Experience in manual QA position Multitasking and problem solving abilities, context switching and "out-of-the-box" thinking abilities Team player, pleasant and with a high level of integrity Very organized, thorough and devoted Bright, fast learner, independent Good written and verbal communication skills in English Advantages Experience in QA of network security software products Experience working with AWS Experience in Linux/UNIX environments AlgoSec is an Equal Opportunity Employer (EEO), committed to creating a friendly, inclusive environment that is a pleasure to work in, and where there is an unbiased acceptance of others. AlgoSec believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision. Show more Show less

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0.0 - 1.0 years

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Perintalmanna, Kerala

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Job Description: As a software tester, you will be responsible for evaluating software applications and systems to ensure they function correctly and meet quality standards. You will work closely with software developers, project managers, and other stakeholders to identify issues, debug problems, and ensure the overall quality of the software products. Responsibilities: Develop and execute test plans, test cases, and test scripts to verify software functionality, performance, and reliability. Identify, isolate, and document software defects and issues using bug tracking tools. Collaborate with software developers and stakeholders to understand software requirements and system specifications. Participate in software design and requirement reviews to provide input on testability and quality considerations. Perform regression testing to ensure that previously identified defects have been fixed and that no new issues have been introduced. Conduct performance testing, load testing, and stress testing to assess the scalability and stability of software applications. Stay updated on industry best practices, testing methodologies, and emerging technologies to continuously improve testing processes and techniques. Communicate test results and findings effectively to project teams and management, including recommendations for improvements and corrective actions. Work closely with cross-functional teams to ensure timely delivery of high-quality software products. Contribute to the development and maintenance of automated test scripts and testing frameworks to streamline the testing process. Requirements: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience). Experience: 1-3 Years of Work Experience in IT Field. Proven experience in software testing methodologies, techniques, and tools. Strong analytical and problem-solving skills with meticulous attention to detail. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Experience with test automation tools (e.g., Selenium, Appium, JUnit) and scripting languages (e.g., Python, Java) is a plus. Familiarity with Agile/Scrum methodologies and continuous integration/continuous deployment (CI/CD) pipelines. Ability to work independently and manage multiple tasks in a fast-paced environment. ISTQB certification or other relevant software testing certifications is a plus. Job Types: Full-time, Permanent Pay: ₹200,000.00 - ₹300,000.00 per year Schedule: Day shift Ability to commute/relocate: Perintalmanna, Kerala: Reliably commute or planning to relocate before starting work (Required) Application Question(s): 1. Are you located in Kerala? 2. Do you belong to any of the following districts : Calicut, Malappuram, Palakkad, Thrissur? If your answer is "no" to any of the above questions, Please don't apply for this job. Experience: Software testing: 1 year (Required) Work Location: In person

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0.5 years

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New Delhi, Delhi, India

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At AlgoSec, What you do matters! Over 2,200 of the world’s leading organizations trust AlgoSec to help secure their most critical workloads across public cloud, private cloud, containers, and on-premises networks. Join our global team, securing application connectivity, anywhere. AlgoSec is looking for talented and motivated students/graduates to join our team and take part in developing the tests automation with cutting edge technologies. Location: Gurugram, India Direct employment Responsibilities E2E testing, including designing tests and then automate them. Develop and maintain UI & API automation tests in CI/CD environment. Writing and executing automatic tests based on the specified environment. Support, maintain, and enhance all test case automation related activities during iterative development and regression testing. Review user stories and functional requirements. Assist with manual testing; execute manual test cases and scripts for products under development using test management/tracking tools. Technical Requirements Computer Science student or equivalent degree student, GPA 8.5 and above. (Maximum 0.5 years of studies remaining). Knowledge or relevant experience with programming languages, such as C#, C++, and Java. Strong understanding of OOP, TDD, SW architecture designs and patterns. Strong troubleshooting and problem-solving skills with high attention to detail. Able to work independently, self-motivated, detail-oriented and organized. knowledge of web technologies including HTML, Yaml, JSON – Advantage. Experience with Selenium – an advantage. Experience with Git – an advantage. Knowledge and experience in testing methodologies - an advantage. Soft Skills Requirements Multitasking and problem-solving abilities, context switching and "out-of-the-box" thinking abilities. Team player, pleasant and with a high level of integrity. Very organized, thorough, and devoted. Bright, fast learner, independent. Excellent written and spoken communication skills in English. AlgoSec is an Equal Opportunity Employer (EEO), committed to creating a friendly, inclusive environment that is a pleasure to work in, and where there is an unbiased acceptance of others. AlgoSec believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision. Show more Show less

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5.0 years

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Kerala, India

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Job Title: QA Lead Location: Calicut, Kerala Experience: Minimum 5 Years (3+ years in Automation, 2+ years in Manual Testing) Job Type: Full-time Job Summary: We are seeking a highly motivated and detail-oriented QA Lead to oversee the quality assurance of our software products. The ideal candidate should have at least 5 years of experience in QA, with a strong foundation in both manual and automation testing. As a QA Lead, you will be responsible for strategizing, planning, and executing test activities while mentoring junior QA members. Key Responsibilities: Lead QA efforts across projects including test planning, execution, and reporting Design, develop, and maintain automation test scripts and frameworks Conduct functional, regression, integration, and system testing Collaborate with developers, product managers, and stakeholders to ensure high-quality deliverables Perform root cause analysis for production issues and provide corrective action plans Maintain and update test documentation including test plans, test cases, and bug reports Drive continuous improvements in QA processes and tools Mentor and guide junior QA engineers in both manual and automation practices Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field Minimum 5 years of QA experience, including: 3+ years in Automation Testing (e.g., Selenium, Cypress, Playwright, TestNG, or similar) 2+ years in Manual Testing with strong attention to detail Experience in using tools like JIRA, Git, Jenkins, and test management tools (e.g., TestRail, Zephyr) Strong understanding of SDLC, STLC, and Agile methodologies Knowledge of CI/CD pipelines and integrating automated tests Excellent analytical and problem-solving skills Strong verbal and written communication skills Show more Show less

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4.0 - 6.0 years

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Pune, Maharashtra, India

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About VOIS VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Role Roles and Responsibilities: Working in Agile methodology & proficient in Jira(Agile Tool) Good knowledge of SQL query, Unix commands & API for database Testing. Specialized in Business requirement analysis, Identification of test scenarios, preparation and execution of test cases to verify application functionality against business requirements until Test closure. Extensive experience in System, Functional, Integration, Regression, Retesting, Compatibility cross-browser and GUI testing. Experience in the Designing and Execution of the test cases along with preparing test Reports. Good in reporting and document preparation activity for the knowledge management Experience in preparing Traceability Matrix to map Business requirements and test case. In-depth Knowledge of Software Development Life Cycle models (SDLC) & Software Test Life Cycle (STLC) Understanding of the basic CRM journeys in Telecom domain for the customer. Core Competencies, Knowledge And Experience Overall 4 to 6 years of Manual Testing experience in Telecom Domain Top 3-5 Must Have Skills And Certifications Manual Testing Knowledge of SQL Development Unix API Testing Top 3 Good To Have Skills And Certifications Experience in Telecom Domain Jira/Xray/Confluence Knowledge ISTQB certification VOIS Equal Opportunity Employer Commitment India VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

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4.0 years

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Gurugram, Haryana, India

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Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job Overview And Responsibilities As a Senior Automation Test Engineer of Digital Technology at United Airlines, you will be responsible for the delivery of enterprise software testing projects and programs, operation and capital projects with automation first approach. In this role, you will design, implement, and execute automation test strategies and frameworks for all deliverables. Additionally, you will collaborate closely with US Quality Managers and Quality Leads to implement quality governance, quality gates, risk assessment, production signoffs, key metrics (KPIs), and tools selection. Additionally, a Senior Automation Test Engineer, you should have excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, team-oriented environment. Lead the design and implementation of automation and manual test strategies for various software and systems utilizing best practices and standards. Collaborate with software developers, QE analysts, and system engineers to identify system requirements and ensure quality is met from test planning to production deployment with automation first approach. Own and maintain automation artifacts, tools, licenses & framework. Govern automation standards & best practices. Conduct automation audits and assess ROIs. Manage and mitigate testing related risks and issues. Identify and maintain testing KPI's, track trends and own the power BI reports. Integrate automation frameworks with continuous integration and deployment pipelines Integrate GenAI into existing automation framework and improve the quality of the automation test scripts for functional, regression, sanity and end-to-end testing. This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree in Computer Science, Computer Engineering or 4 years of relevant work experience 4-6 years of experience in Software Automation AWS Cloud Practitioner ISQTB / CSTE or similar Loadrunner Test automation programming / scripting with solid skills in one of the tools for UI, API and Desktop – API Testing, ReadyAPI, Rest Assure, Selenium (UI), Cloud testing, ADO/JIRA or similar, Mainframe testing, Postman, Fiddler Software Test Life Cycle Agile & Waterfall Methodologies Backend Testing (API, Mainframe, Middleware) Release Management Processes Cloud Technologies Test Data Modeling Support DevOps CICD implementation Able to work with distributed global teams. Ability to work under time constraint. Support during off / CST hours during production deployments What will help you propel from the pack (Preferred Qualifications): Master's degree Airline Domain Knowledge AccelQ, AWS - (Dynamo DB, Lambda, Cloud Watch, Aurora DB), Java, Dynatrace, Github actions, Harness, Kibana GGN00001967 Show more Show less

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5.0 years

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Hyderabad, Telangana, India

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Job Description Translate complex business problems into data science solutions and articulate the value and limitations of these solutions to non-technical stakeholders. Develop, deploy, and monitor predictive models, statistical analyses, and optimization algorithms. Work hands-on with large datasets: cleaning, transforming, and analysing to extract actionable insights. Collaborate with cross-functional teams including Business, Product, Engineering, and Operations to ensure data science outputs are actionable and aligned with strategic goals. Present findings and recommendations to senior leadership in a clear and compelling manner. Continuously validate and improve models based on real-world feedback and changing business needs. Leverage Microsoft ecosystem tools (Azure ML, Power BI, SQL Server, Excel, etc.) extensively for data preparation, model development, deployment, and visualization. Key Skills & Competencies 5+ years of experience in data science, machine learning, or advanced analytics roles. Proficiency in Python for data analysis and machine learning. Strong working knowledge of Microsoft technologies : Azure Data Services (Azure ML, Azure Data Factory, Azure Synapse). Power BI for data visualization (optional). Microsoft SQL Server and Azure SQL Database. Advanced Excel (Power Query, Power Pivot). Solid understanding of a range of machine learning techniques (classification, regression, clustering, recommendation systems, etc.) and their real-world trade-offs. Strong business acumen with the ability to contextualize technical outputs into strategic business insights. Excellent communication skills (written and verbal) with the ability to influence decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. (ref:hirist.tech) Show more Show less

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5.0 years

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Hyderabad, Telangana, India

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Responsibilities Translate complex business problems into data science solutions and articulate the value and limitations of these solutions to non-technical stakeholders. Develop, deploy, and monitor predictive models, statistical analyses, and optimization algorithms. Work hands-on with large datasets : cleaning, transforming, and analysing to extract actionable insights. Collaborate with cross-functional teams, including Business, Product, Engineering, and Operations, to ensure data science outputs are actionable and aligned with strategic goals. Present findings and recommendations to senior leadership clearly and compellingly. Continuously validate and improve models based on real-world feedback and changing business needs. Leverage Microsoft ecosystem tools (Azure ML, Power BI, SQL Server, Excel, etc. ) extensively for data preparation, model development, deployment, and visualization. Requirements 5+ years of experience in data science, machine learning, or advanced analytics roles. Proficiency in Python for data analysis and machine learning. Strong working knowledge of Microsoft technologies : Azure Data Services (Azure ML, Azure Data Factory, Azure Synapse), Power BI for data visualization (optional), Microsoft SQL Server, and Azure SQL Database, Advanced Excel (Power Query, Power Pivot). Solid understanding of a range of machine learning techniques (classification, regression, clustering, recommendation systems, etc. ) and their real-world trade-offs. Strong business acumen with the ability to contextualize technical outputs into strategic business insights. Excellent communication skills (written and verbal) with the ability to influence decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field. (ref:hirist.tech) Show more Show less

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0 years

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Hyderabad, Telangana, India

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Responsibilities Technical Configuration and Build : Lead the configuration and build of Workday SCM modules (Procurement, Inventory Management, Supplier Management, and Logistics) to meet client-specific business processes. This includes configuring security, business processes, reporting, and data loads. System Integration : Work closely with the integration team to design and implement integrations between Workday SCM and other systems (internal and third-party), using Workdays integration tools such as EIB, Workday Studio, and Workday Web Services (WWS). Customization and Development : Develop and customize solutions within Workday SCM, including the creation of calculated fields, reports, dashboards, and custom business processes. Troubleshooting and Technical Support : Provide ongoing technical support for Workday SCM modules, identifying and resolving complex system issues, bugs, and performance bottlenecks. Data Migration & Load : Lead the extraction, transformation, and loading (ETL) of data into Workday SCM, ensuring data integrity and consistency across all modules and integrations. Testing & Quality Assurance : Oversee the testing process, including unit testing, integration testing, and regression testing for SCM-related configurations and integrations. Ensure that the system meets performance and functionality expectations. Technical Documentation : Maintain detailed technical documentation on system configurations, customizations, integrations, and data migration processes for future reference and auditing purposes. Collaboration with Technical Teams : Partner with Workday HCM, IT, and other cross-functional teams to ensure seamless integration of Workday SCM with other enterprise systems (e.g., Finance, HR) and support multi-system projects. Process Optimization : Identify opportunities for process improvement and automation within the Workday SCM system, working closely with the business and functional teams to deliver optimized solutions. Qualifications Workday SCM Technical Expertise : Strong technical experience with the configuration, customization, and integration of Workday Supply Chain Management modules. Expertise in Procurement, Inventory, and Supplier Management modules is highly desirable. Workday Integration Tools : Proficiency in Workday integration tools such as EIB (Enterprise Interface Builder), Workday Studio, and Web Services (WWS). Ability to design and implement complex integrations with third-party systems. Data Management : Strong experience in data migration, data transformation, and data loading techniques in Workday using EIB, iLoad, or similar tools. Familiarity with the Workday Data Model is a plus. Technical Problem Solving : Ability to troubleshoot, identify root causes, and resolve complex technical issues within Workday SCM. Strong analytical and problem-solving skills are essential. Technical Reporting : Experience in creating and configuring custom reports and dashboards in Workday, including the use of Workday's reporting tools such as Workday Report Writer and Workday Prism Analytics. Programming/Development Skills : Experience with Workdays advanced calculated fields, custom business process configuration, and scripting (e.g., Workday BIRT reports, WSDL, REST APIs) is highly preferred. Project Management Skills : Experience with agile project management methodologies and the ability to handle multiple concurrent tasks, deadlines, and priorities. Communication Skills : Strong written and verbal communication skills to convey technical information to both technical and non-technical stakeholders. Preferred Skills Workday Certifications : Workday certifications in SCM or related modules (Procurement, Inventory, etc.) are highly desirable. Cloud/ERP Experience : Hands-on experience with other cloud-based ERP systems or supply chain management systems, and understanding of cloud integrations. Experience with Advanced Workday Functionality : Familiarity with advanced Workday functionalities such as Workday Cloud Platform, Workday Studio, and Workday Reporting. Licensure and Certification : Workday Integration (Added Advantage) (ref:hirist.tech) Show more Show less

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3.0 - 5.0 years

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Kochi, Kerala, India

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Job Title - Senior Technical Test Engineer Level Sr. Analyst ACS SONG Management Level: Level 10 Sr. Analyst Location: Kochi, Coimbatore, Trivandrum Must have skills: Cypress/Playwright Good to have skills: Selenium Experience: 3-5 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture) Job Summary At Accenture Song, delivering top-notch solutions means ensuring development outcomes align with expectations. While manual testing is still important, there's an increasing focus on automating various testing types - functional, regression, visual, performance, and compatibility. As a Senior Technical Test Engineer, you'll take a leading role in our test automation initiatives, helping to drive quality across the board. Roles and Responsibilities will include: Experience in agile environments, ideally with Scrum or Kanban methodologies. Create and execute comprehensive test plans, test cases, and test scripts based on requirements and acceptance criteria. Analyze and resolve testing bottlenecks using strong problem-solving skills. Communicate effectively with cross-functional teams. Document bugs, test results, and status updates clearly and concisely. Show a proactive mindset with a positive attitude and eagerness to learn. Demonstrate professionalism, responsibility, and a commitment to high work standards. Professional And Technical Skills 3–5 years of solid experience across the Software Testing Life Cycle (STLC). Expertise in test automation tools like Cypress or Playwright. Experience building and maintaining robust test automation frameworks. Strong programming skills in JavaScript/TypeScript with additional experience in Python being an advantage. Good understanding of object-oriented programming and best practices. Familiarity with BDD tools (e.g., Cucumber, JBehave) and TDD frameworks (e.g., JUnit). Experience testing RESTful APIs. Version control experience with Git-based platforms like GitHub, GitLab, or Bitbucket. Familiarity with CI/CD tools such as Jenkins, Azure DevOps, or GitLab CI. Knowledge of build tools like Maven, Gradle, or NPM. Good to have experience in testing on cloud platforms like AWS Device Farm, BrowserStack, or Sauce Labs Good to have familiarity with API testing tools like Karate or RestAssured. Additional Information Automation experience with Selenium and Java. Exposure to performance testing tools (e.g., JMeter, Gatling). Experience with mobile app testing frameworks such as Appium or Detox. Cross-browser testing across multiple devices and environments. Creating detailed test reports using tools like Allure or Extent Reports. Working knowledge of containerization tools like Docker or Kubernetes. Basic understanding or experience in security testing. Experience: 1.5-3 years of experience is required Educational Qualification: Graduation (Accurate educational details should capture) Show more Show less

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6.0 years

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Trivandrum, Kerala, India

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Our Company Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, scalable, and secure platforms that transform industries through the power of AI. Role Overview We are seeking an experienced Automation Test Engineer with strong expertise in Python-based automation frameworks and a total of 6 years of hands-on experience in software testing. You will be responsible for designing and maintaining automation test suites, ensuring the reliability and performance of AI-enabled products and digital platforms. You will collaborate closely with developers, DevOps, and product teams to implement quality-first practices and enable faster, more reliable releases. What we are looking from an ideal candidate ? Design, develop, and maintain automated test scripts using Python for web, API, and backend services. Develop and execute test strategies, test plans, and test cases for functional, regression, and integration testing. Implement automation frameworks from scratch or enhance existing ones (e.g., Pytest, Robot Framework, Selenium with Python, Behave, etc.) Integrate automated tests into CI/CD pipelines and work with DevOps teams to optimize build-test-deploy workflows. Collaborate with developers and product managers to identify test requirements early in the development cycle. Perform defect tracking, reporting, and root cause analysis. Ensure high test coverage and maintain the scalability of automated suites as products evolve. Stay up to date with emerging tools, trends, and best practices in test automation and quality assurance. Preferred Skills What skills do you need ? Requirements 6 years of total experience in software testing, with a strong focus on test automation. Minimum 3+ years of hands-on experience in Python for automation scripting. Proficiency with one or more test frameworks : Selenium, Pytest, Robot Framework, Behave, or similar. Solid understanding of software QA methodologies, test processes, and best practices. Experience testing RESTful APIs using tools like Postman, requests (Python), or Pytest + requests. Experience with Git, Jenkins, Docker, or other CI/CD tools. Strong analytical and debugging skills, with a passion for high-quality software. Preferred Qualifications Exposure to AI/ML products or data-intensive systems is a plus. Experience with performance testing tools (e.g., Locust, JMeter) is an added advantage. Familiarity with cloud platforms (AWS, GCP, or Azure) and test automation in cloud-native environments. Understanding of basic DevOps and infrastructure-as-code practices. What We Offer Opportunity to work on advanced AI-driven platforms with high-quality engineering culture. A collaborative and fast-paced environment focused on innovation. Career growth and training in modern automation and AI QA practices. Compensation is not a constraint for the right candidate. (ref:hirist.tech) Show more Show less

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3.0 years

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Delhi, India

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Job Description We are seeking a highly skilled Lead Associate - Quality Assurance to join our growing team. As a Lead Associate in QA, you will be responsible for ensuring the quality of our software products by leading the testing efforts, developing test strategies, and managing the execution of functional, regression, and performance testing. You will collaborate with cross-functional teams, including developers and product managers, to ensure the delivery of high-quality Responsibilities : Test Strategy & Planning Lead and develop detailed test plans and strategies based on project requirements and timelines. Identify and document test scenarios, test cases, and testing Execution : Oversee and execute manual and automated tests, ensuring comprehensive test coverage across various platforms and devices. Perform functional, regression, integration, and user acceptance testing & Tools : Design and implement automated test scripts using industry-standard tools like Selenium, JUnit, or TestNG. Integrate automated testing into CI/CD pipelines for faster and more reliable Management : Identify, track, and report defects, working closely with development teams to resolve issues efficiently. Ensure timely bug fixes and verify resolved issues in subsequent testing Leadership : Mentor and guide junior QA engineers, ensuring high standards of quality across the team. Collaborate with team members to define and improve testing processes, frameworks, and Improvement : Continuously evaluate testing processes and recommend improvements to increase efficiency and & Qualifications : : 3+ years in quality assurance, with hands-on experience in both manual and automated Skills : Test Automation Tools : Proficiency in Selenium WebDriver, JUnit, TestNG, Cypress, and other relevant automation Tools : Experience with Jenkins, GitLab CI, CircleCI, or similar tools for automating the testing and deployment Languages : Knowledge of scripting/programming languages like Java, Python, JavaScript, or Ruby for writing automation Testing : Experience with SQL for performing data validation and back-end Tracking & Test Management Tools : Familiarity with tools like JIRA, Bugzilla, TestRail, or similar platforms for test case management and bug Control Systems : Proficiency in Git for version control and collaborating on code Testing : Familiarity with performance testing tools like JMeter or Testing : Experience with Postman, Rest Assured, or SoapUI for testing RESTful APIs and web Methodologies : Experience working in Agile development environments, understanding of Scrum/Kanban Systems : Comfortable working in both Windows and Linux environments for testing Skills : Strong leadership and mentoring skills to guide junior team members. Excellent problem-solving, analytical, and troubleshooting skills. Ability to prioritize tasks and manage multiple projects effectively. (ref:hirist.tech) Show more Show less

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2.0 years

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Gurugram, Haryana, India

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Job Summary We are seeking a highly motivated and detail-oriented Quality Software Testing Assurance Engineer to join our dynamic team in Gurgaon. The ideal candidate will be responsible for ensuring the quality and reliability of our software products, particularly within the domains of Vehicle Tracking Systems (VTS) and Intelligent Traffic Management Systems (ITMS). This role involves both manual and automated testing, identifying and documenting defects, and collaborating closely with development and product teams to deliver high-quality solutions. The successful candidate must be an immediate joiner with a minimum of 2 years of relevant : Test Planning And Design Analyze requirements, specifications, and technical design documents to create comprehensive and well-structured test plans and test cases. Develop and maintain test scripts for both manual and automated testing. Identify and prioritize test scenarios based on risk and business impact. Test Execution Execute manual and automated test cases, meticulously documenting test results. Perform functional, integration, system, regression, and performance testing. Conduct API testing using relevant tools. Test software across different environments and Management : Identify, log, and track defects using JIRA or TestRail, providing clear and concise steps to reproduce. Work closely with developers to understand and resolve identified issues. Participate in defect triage meetings and follow up on bug : Design, develop, and maintain automated test scripts using Selenium. Contribute to the automation framework and identify areas for automation. Analyze automation test results and identify areas for and Communication : Work effectively within an Agile development environment, participating in sprint planning, daily stand-ups, and retrospectives. Communicate effectively with developers, product owners, and other stakeholders regarding test progress, results, and potential risks. Provide timely and accurate test reports and Assurance Best Practices : Adhere to established QA processes and methodologies. Contribute to the continuous improvement of testing processes and standards. Stay up-to-date with the latest testing tools and techniques. Skills Minimum of 2 years of proven experience in software testing. Hands-on experience in testing Vehicle Tracking Systems (VTS). Hands-on experience in testing Intelligent Traffic Management Systems (ITMS). Proficiency in both manual and automated software testing methodologies. Strong experience with Selenium for test automation. Experience using JIRA or TestRail for test management and defect tracking. Familiarity with Agile methodologies and the software development lifecycle. Experience with API testing tools (e.g., Postman, RestAssured). Good understanding of SQL for database : Experience with performance testing tools. Knowledge of scripting languages (e.g., Python, Java). Experience with CI/CD pipelines. Understanding of different testing frameworks (ref:hirist.tech) Show more Show less

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10.0 years

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Pune, Maharashtra, India

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The IT Quality Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. IT Quality Sr Analyst Treasury and FP&A Technology is looking for a seasoned senior quality engineer to plan, lead, and execute testing strategy for Global Funds Transfer Pricing Application. This role requires a hands-on senior quality engineer who has architected robust automation frameworks, had sound experience in enhancing testing efficiency, and can ensure seamless software delivery of highest quality. The ideal candidate will bring expertise in automation tools, agile methodologies, and quality engineering best practices to transform and enhance current testing and automation engineering landscape. Responsibilities: Plan, lead, and execute testing automation strategy for CitiFTP. Continuously monitor automation coverage and enhance the existing automation framework to increase the automation coverage. Design, Develop, and Implement scalable and maintainable automation frameworks for UI, API, and data validation testing on Big Data/Hadoop platform. Collaborate with other testing areas, development teams, product owners, and business partners to integrate automation into the agile SDLC. Enhance the efficiency of regression, and end-to-end testing using automation. Develop robust test scripts and maintain automation suites to support rapid software releases. Improve overall test coverage, defect detection, and release quality through automation. Establish and track key QA metrics e.g. defect leakage, test execution efficiency, automation coverage. Advocate for best practices in test automation, including code reviews, re-usability and maintainability. Drive the adoption of AI/ML-based testing tools and emerging trends in test automation. Manage, mentor, and upskill a team of test engineers in automation practices. Foster a culture of continuous learning and innovation within the testing community. Define career development paths and ensure team members stay up to date with industry advancements. Analyze trends at an organizational level to improve processes; follows and analyzes industry trends. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications: 10+ years of experience in functional and non-functional software testing 3+ years of experience as Test Automation Lead Expertise in test automation frameworks / tools like Jenkins, Selenium, Cucumber, TestNG, Junit, Cypress. Strong programming skills in Java, Python or any other programming or scripting language. Expertise in SQL. Experience with API testing tools (Postman, RestAssured) and performance testing tools (JMeter, LoadRunner) Expertise in build tools like Maven / Gradle, continuous integration tools like Jenkins, source management tools like Git/GitHub. Strong knowledge of Agile, Scrum, and DevOps practices. Strong knowledge of functional Test tool (JIRA). Familiarity with cloud-based test execution – AWS, Azure, or GCP. Familiarity with big data testing (Spark, HDFS) and database testing automation (Oracle, SQL). Preferred - Experience with AI-driven test automation and advanced test data management strategies Preferred – Certifications such as ISTQB Advanced, Certified Agile Tester, or Selenium WebDriver certification Exposure to banking / financial domains, particularly Treasury applications is a plus Requires communication and diplomacy skills and an ability to persuade and influence Hands on in code review, unit testing and integration testing Very Confident, innovative, self-motivated, aggressive and results oriented Ideal candidate should be passionate about automation in quality engineering Education: Bachelor’s/University degree ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Quality ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

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10.0 years

0 Lacs

Pune, Maharashtra, India

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The IT Quality Sr Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual. IT Quality Sr Analyst Treasury and FP&A Technology is looking for a seasoned senior quality engineer to plan, lead, and execute testing strategy for Global Funds Transfer Pricing Application. This role requires a hands-on senior quality engineer who has architected robust automation frameworks, had sound experience in enhancing testing efficiency, and can ensure seamless software delivery of highest quality. The ideal candidate will bring expertise in automation tools, agile methodologies, and quality engineering best practices to transform and enhance current testing and automation engineering landscape. Responsibilities: Plan, lead, and execute testing automation strategy for CitiFTP. Continuously monitor automation coverage and enhance the existing automation framework to increase the automation coverage. Design, Develop, and Implement scalable and maintainable automation frameworks for UI, API, and data validation testing on Big Data/Hadoop platform. Collaborate with other testing areas, development teams, product owners, and business partners to integrate automation into the agile SDLC. Enhance the efficiency of regression, and end-to-end testing using automation. Develop robust test scripts and maintain automation suites to support rapid software releases. Improve overall test coverage, defect detection, and release quality through automation. Establish and track key QA metrics e.g. defect leakage, test execution efficiency, automation coverage. Advocate for best practices in test automation, including code reviews, re-usability and maintainability. Drive the adoption of AI/ML-based testing tools and emerging trends in test automation. Manage, mentor, and upskill a team of test engineers in automation practices. Foster a culture of continuous learning and innovation within the testing community. Define career development paths and ensure team members stay up to date with industry advancements. Analyze trends at an organizational level to improve processes; follows and analyzes industry trends. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards. Qualifications: 10+ years of experience in functional and non-functional software testing 3+ years of experience as Test Automation Lead Expertise in test automation frameworks / tools like Jenkins, Selenium, Cucumber, TestNG, Junit, Cypress. Strong programming skills in Java, Python or any other programming or scripting language. Expertise in SQL. Experience with API testing tools (Postman, RestAssured) and performance testing tools (JMeter, LoadRunner) Expertise in build tools like Maven / Gradle, continuous integration tools like Jenkins, source management tools like Git/GitHub. Strong knowledge of Agile, Scrum, and DevOps practices. Strong knowledge of functional Test tool (JIRA). Familiarity with cloud-based test execution – AWS, Azure, or GCP. Familiarity with big data testing (Spark, HDFS) and database testing automation (Oracle, SQL). Preferred - Experience with AI-driven test automation and advanced test data management strategies Preferred – Certifications such as ISTQB Advanced, Certified Agile Tester, or Selenium WebDriver certification Exposure to banking / financial domains, particularly Treasury applications is a plus Requires communication and diplomacy skills and an ability to persuade and influence Hands on in code review, unit testing and integration testing Very Confident, innovative, self-motivated, aggressive and results oriented Ideal candidate should be passionate about automation in quality engineering Education: Bachelor’s/University degree ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Technology Quality ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Posted 1 day ago

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Exploring Regression Jobs in India

The demand for regression professionals in India is on the rise as companies across various industries rely on data analysis to make informed business decisions. Regression analysis is a statistical technique used to model the relationship between a dependent variable and one or more independent variables. Job seekers with expertise in regression are in high demand in India, with opportunities available in both traditional and emerging sectors.

Top Hiring Locations in India

  1. Bangalore - Known as the Silicon Valley of India, Bangalore is a hub for technology companies that actively hire regression professionals.
  2. Mumbai - The financial capital of India, Mumbai offers opportunities in banking, finance, and consulting firms for regression experts.
  3. Delhi - The capital city is home to numerous research institutions, government agencies, and IT companies looking for regression analysts.
  4. Pune - With a growing IT sector, Pune is another hotspot for regression job seekers, especially in software development and analytics.
  5. Hyderabad - Known for its thriving IT industry, Hyderabad has a high demand for regression professionals in data science and research roles.

Average Salary Range

The average salary range for regression professionals in India varies based on experience and expertise. Entry-level positions such as Data Analysts or Junior Data Scientists can expect a salary ranging from INR 4-6 lakhs per annum. Experienced professionals with the title of Senior Data Scientist or Lead Analyst can command salaries ranging from INR 12-20 lakhs per annum.

Career Path

In the field of regression analysis, a typical career path may start with roles such as Data Analyst or Junior Data Scientist. As professionals gain experience and expertise, they may progress to roles like Senior Data Scientist, Lead Analyst, and eventually to positions like Chief Data Officer or Director of Analytics.

Related Skills

In addition to regression analysis, professionals in this field are often expected to have skills in: - Data manipulation and visualization - Programming languages like Python, R, or SAS - Machine learning algorithms - Statistical modeling techniques - Domain knowledge in specific industries

Interview Questions

  • What is the difference between simple linear regression and multiple linear regression? (basic)
  • How do you handle multicollinearity in regression analysis? (medium)
  • Explain the concept of R-squared in regression analysis. (basic)
  • What is the purpose of residual analysis in regression? (medium)
  • How do you interpret the coefficients in a regression model? (basic)
  • Can you explain the difference between logistic regression and linear regression? (medium)
  • What is the purpose of regularization techniques in regression? (medium)
  • How do you deal with outliers in regression analysis? (medium)
  • Explain the assumptions of linear regression. (basic)
  • What is the difference between correlation and regression analysis? (basic)
  • How do you select the best regression model for a given dataset? (medium)
  • What is the difference between L1 and L2 regularization? (medium)
  • How do you assess the goodness of fit in a regression model? (basic)
  • Explain the concept of heteroscedasticity in regression analysis. (medium)
  • How do you validate a regression model? (medium)
  • What is the purpose of feature selection in regression analysis? (medium)
  • How do you interpret the p-value in regression analysis? (basic)
  • Can you explain the concept of overfitting in regression models? (basic)
  • How do you evaluate the performance of a regression model? (medium)
  • What are the different types of regression analysis? (basic)
  • How do you handle missing values in regression analysis? (medium)
  • Explain the bias-variance tradeoff in regression modeling. (medium)
  • How do you transform variables in regression analysis? (medium)
  • Can you explain the difference between stepwise and backward regression? (advanced)
  • How do you assess the multicollinearity of variables in a regression model? (advanced)

Closing Remark

As you explore opportunities in the regression job market in India, remember to continuously upskill and stay updated with the latest trends in data analysis. Prepare thoroughly for interviews by mastering both the theoretical concepts and practical applications of regression analysis. With dedication and expertise, you can build a successful career in this dynamic and in-demand field. Good luck!

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