Bayesian Regression Jobs in Hyderabad

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Job Title: Senior Software QA Engineer Location: Hyderabad Company: DuPont About DuPont: At DuPont, we create essential innovations that help the world thrive from delivering clean water to over a billion people, to building materials that power the technology in smartphones and electric vehicles. Our people work on the things that truly matter. Join us and make a meaningful impact on the world around you. Position Overview: We are looking for a Senior Software QA Engineer with a strong background in automation testing, particularly using Selenium with Java. In this role, you will play a key part in ensuring the quality and reliability of our software products through automated and manual testing techniques, continuous collaboration, and an innovation-driven mindset. Key Responsibilities: Develop, maintain, and execute automated test scripts using Selenium with Java. Analyze test results, identify bugs, and document defects using bug tracking systems. Collaborate with developers and product teams to define test strategies aligned with software requirements. Design and execute manual test cases to ensure full coverage of application features. Apply BDD (Behavior Driven Development) methodologies using Cucumber. Conduct regression and performance testing to validate application stability. Enhance existing automation frameworks and recommend process improvements. Participate in test planning, reviews, and team Agile ceremonies. Stay current with industry trends and new tools/technologies in the QA space. Required Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field. 5+ years of experience in automation testing, with strong proficiency in: Selenium Java Cucumber / BDD TestNG Experience with CI/CD pipelines and testing in Agile environments. Solid understanding of software QA methodologies, tools, and processes. Strong analytical, debugging, and problem-solving skills. Excellent written and verbal communication and a strong sense of teamwork. Preferred Qualifications: Experience with JUnit, JMeter, or similar testing tools. Familiarity with performance testing techniques. Hands-on knowledge of version control systems, especially Git. Contribute to innovations that change the world for the better. Work alongside passionate and diverse global teams. Access continuous learning and career development opportunities. Thrive in a culture of collaboration, integrity, and excellence. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Title: Automation Test Engineer Experience: 5-8 Years Location: Hyderabad About Us: We are a leading technology company committed to delivering high-quality software solutions that exceed client expectations. As we continue to expand our team, we are seeking an experienced Automation Test Engineer to help us build robust, high-performing applications. If you have a strong background in automation testing, mobile testing, and API testing, we would love to hear from you! Responsibilities: Manual Testing: Perform thorough manual testing on mobile and web applications. Create detailed test cases, execute them, and document test results. Identify, report, and track bugs while working closely with the development team to resolve issues. Conduct usability testing and provide feedback to enhance the user experience. Automation Testing: Develop and maintain automated test scripts using tools like Appium, Selenium, or Katalon Studio. Integrate automated tests into the CI/CD pipeline to ensure continuous testing and delivery. Ensure test coverage across various scenarios, including functional, regression, and performance testing. Mobile Testing: Conduct mobile testing across different devices and operating systems. Perform performance testing, including load testing and stress testing. Ensure mobile applications meet the necessary performance, usability, and security standards. API Testing: Develop and execute API test cases using tools such as Postman, SoapUI, or RestAssured. Verify that APIs meet functional, performance, and security requirements. Collaborate with development teams to identify and resolve any API-related issues. Quality Assurance: Participate in code reviews and provide feedback to ensure high-quality code. Stay updated with the latest trends and advancements in testing technologies. Contribute to the creation and improvement of testing strategies and best practices. Requirements: Experience: At least 3+ years of experience in manual and automation testing, with a strong background in mobile testing and API testing. Technical Skills: Proficiency in manual testing techniques and tools. Strong experience with automation testing tools, such as Appium, Selenium, or Katalon Studio. Experience with API testing tools, like Postman, SoapUI, or RestAssured. Knowledge of mobile testing frameworks and tools. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work both independently and as part of a team. Innovative Environment: Work with the latest tools and technologies in a dynamic and challenging environment. Growth Opportunities: We foster a culture of continuous learning and provide opportunities for career advancement. Collaborative Culture: Join a supportive and collaborative team where your contributions will be valued. Competitive Compensation & Benefits: Enjoy a competitive salary and a comprehensive benefits package. Apply Today! If you're an experienced Automation Test Engineer with a passion for delivering high-quality software, we invite you to apply and join our team of experts!

Job Description: We are looking for a Software Test Engineer with 1-2 years of experience to join our team. The ideal candidate will have strong testing skills, good understanding of test case development, and a passion for ensuring the quality of web and mobile applications. Key Responsibilities: Test Case Design & Execution: Estimate and prepare test cases based on requirement specifications and verification plans. Execute test cases for Ad-Hoc Testing, Functional Testing, Regression Testing, Re-testing, Smoke Testing, Non-functional Testing, and User Acceptance Testing. Regression Testing: Analyze changes in the application and identify areas that need to be regression tested to ensure that new updates don't break existing features. Defect Reporting: Prepare detailed defect/problem reports and work with the development team to troubleshoot and resolve issues. Collaboration with Development Team: Work closely with the development team to understand requirements for more effective testing and ensure that testing aligns with project needs. Documentation: Maintain accurate and comprehensive test documentation and test results for future reference and review. Skills & Experience: Testing Types: Strong skills in Ad-Hoc testing, Functional testing, Regression testing, Re-testing, Smoke testing, Non-functional testing, and User Acceptance Testing (UAT). Test Case Development: Experience in designing and developing test cases based on requirement specifications and verification plans. Defect Reporting: Experience in preparing defect/problem reports with detailed steps to reproduce, screenshots, and logs. Collaboration: Ability to work closely with the development team for requirements understanding and ensure effective test coverage. Communication Skills: Good verbal and written communication skills for preparing test reports and working with cross-functional teams. Web & Mobile Testing (Good to Have): Knowledge of both web application and mobile application testing would be a bonus. Key Qualities for Success: Analytical Skills: Strong ability to analyze changes and identify areas that need regression testing. Attention to Detail: Ensure that all defects are reported with clarity and completeness. Adaptability: Comfortable in a fast-paced environment with frequent changes in project requirements. Team Player: Ability to collaborate effectively with developers and other team members.

Senior Software Development Engineer in Test (SDET) QA Location: Hyderabad, IN Employment Type: Full-Time Department: Engineering Role Overview We are seeking an experienced and pragmatic Senior SDET to elevate our testing practices and ensure the reliability and efficiency of our cutting-edge data management, governance, and analytics software at Internet scale. Your work will directly empower decision-makers to leverage data for impactful community improvements. This role requires a hands-on tester with a strategic mindset, able to balance manual exploratory testing with automation and continuous process improvements. You will work closely with product owners, developers, QA teams, and release managers to champion quality throughout the software lifecycle. Key Responsibilities Review and enhance test strategies, plans, and coverage to identify and mitigate risks based on product requirements. Develop and maintain automated test suites, harnesses, and test applications. Collaborate with QA teams and partners to understand system specifications and recommend testability improvements. Enhance CI/CD pipelines with automated testing and scripting to ensure seamless continuous delivery. Partner with developers, product managers, and analysts to ensure testable requirements and robust quality. Drive testability and diagnostics integration into products for faster troubleshooting. Share automation testing best practices and tools across teams. Participate in peer design/code reviews and Agile scrum ceremonies. Perform exploratory/manual testing as needed to support releases. Adhere to coding standards and software development lifecycle processes. Required Qualifications Master s degree in Engineering or a Bachelor s degree with 4+ years of professional software engineering/testing experience. Proficiency in at least one programming language: .NET, Python, or Java. Experience testing enterprise-level applications and systems. Strong background in API testing and automation frameworks/tools. Experience with Jenkins and building/maintaining CI/CD pipelines. Proven expertise in QA processes including test planning, execution, defect tracking, and release management. Hands-on experience with Agile methodologies and sprint ceremonies. Skilled in developing high-quality test automation frameworks. Familiarity with tools like Mocha, Jasmine, JIRA, GitHub, and GitLab. Experience testing cloud applications on Azure, AWS, and on-prem environments. Knowledge of security testing and static code analysis tools. Proficient in querying relational databases and working with complex schemas. Deep understanding of software quality assurance methodologies integrated with SDLC. Work on innovative, impactful data software at Internet scale. Collaborate with a talented global engineering team. Opportunity to influence testing strategies and automation best practices. Dynamic, growth-oriented environment fostering continuous learning. Qualification : Masters degree in Engineering or a Bachelors degree with 4+ years of professional software engineering/testing experience.

Job Title: QA Engineer Job Type: Full-time Responsibilities: Define test methods and create test plans to ensure the software performs accurately and reliably according to documented requirements. Execute test plans and generate test reports to describe program evaluation and testing results. Create detailed, comprehensive, and well-structured test plans and test cases. Estimate, prioritize, plan, and coordinate quality testing activities. Collaborate with cross-functional teams to enhance the quality of the product and contribute to successful releases. Continuously identify areas for improvement in testing processes and tools. Skills and Experience: 3+ years of experience in Automation and Manual testing with a solid understanding of the Software Testing Life Cycle (STLC). Strong problem-solving skills to effectively identify bugs and provide solutions. Hands-on experience with automation frameworks such as Selenium or Cypress. Good knowledge of mobile and web application testing. Experience working with the Agile methodology. Strong development skills in Python, Java, or any other programming language. Work experience with unit test frameworks or libraries (preferably Javascript/Python). Expertise in software release management and deployment tools (Git, CI/CD). Hands-on experience with databases, preferably SQL. Experience working in a Continuous Delivery cycle and release management. Working knowledge of open-source technologies and cloud services. Ability to manage multiple, diverse projects simultaneously while maintaining high-quality standards. Strong verbal and written communication skills to collaborate with teams and stakeholders effectively. Education: Bachelor s or Master s degree from premier institutes (preferred). What We Offer: A dynamic and collaborative work environment. Competitive salary and benefits. Opportunities for career growth and skill development. The chance to work with innovative technologies and challenging projects. If you're passionate about quality and eager to make an impact, apply now to join our team and help shape the future of software testing! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Job Description We are seeking an experienced Senior QA Engineer to oversee our quality assurance team. You will be required to manage all aspects of software and product testing, including developing test strategies, drawing up test documents, identifying faults, and reviewing QA reports. To ensure success as a Senior QA Engineer, you should have extensive experience in high-level problem-solving skills and the ability to lead and project manage effectively. Must Have: Excellent Communication skills Quick learner and willing to learn Demonstrate in-depth complete functional knowledge of the products Implementing testing procedures and overseeing the QA process Must have owned and delivered at least one product Team Player API Testing Test case writing Agile Process Experience with test case management tools like Jira Experience with SQL Queries and willingness to learn Middleware concepts (What is Java, JEE, Node, Mongo etc.) Troubleshooting (See API Calls, JSON viewers, XML) - View logs and see what is happening Proactive approach Good to Have: Experience working in SAAS Platforms Experience with AWS or other cloud platforms

Consumer QA Analyst III At Coinbase, our mission is to increase economic freedom in the world. It s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, we re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company s hardest problems. Ourwork cultureis intense and isn t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there s no better place to be. The Coinbase Customer Experience (CX) organization is on a mission to provide the most trusted and value-added Customer Support in Crypto. Our team is dedicated to eliminating customer pain points, empowering our global user base via self-service and automation, and optimizing customer support interactions to create an effortless experience. As a Consumer QA Analyst III, you will serve as a subject matter expert, quality officer, and process engineer for specific lines of business (LOB). Aligned with our mission to deliver outstanding support, you will work closely with production QA teams to ensure compliance with audit requirements, generate actionable insights, and share key findings with stakeholders. You will lead quality programs aiming to enhance metrics for your assigned LOB, embodying the philosophy that QA professionals are catalysts for improvement and innovation, not just auditors. Please note that this role is expected to report onsite in our Manila/Hyderabad office. Kindly expect to work in a US timezone per business needs. What you ll be doing (ie. job duties): Full ownership of quality program:Govern the quality management of specific lines of business assigned to you. Ensure quality deliverables are done on time based on business requirements. Analyze metric trends:Support our business operations by analyzing KPI trends and conduct root cause analysis. Surface agent and non-agent opportunities and work with different stakeholders (Workforce Management, Vendor Management, Operations, Learning & Development, Content, Compliance, etc.) by proposing a solution and executing it. Communicate quality issues: Present QA findings, insights, and recommendations persuasively to inspire positive change via business reviews and other channels with your stakeholders. Manage quality projects and deployments:Work with the QA leaders in developing quality solutions for your LOBs which will help drive metric improvement. Own dashboard management: Work with Analytics in developing and maintaining quality dashboards to monitor KPI movements. Facilitate calibration sessions: Ensure productive discussions during calibration calls with production QAs, training facilitators, and operations. Drive alignment scores above expectations. Handle disputes and escalations: Work with your stakeholders in managing audit disputes and misalignments. Clarify process grey areas and make in black and white in our agent SOPs. Prioritize critical escalations as needed and work with your stakeholders in minimizing such instances. What we look for in you (ie. job requirements): Relevant Experience:3+ years of experience in quality management in customer service operations. [For internal applicants]:Process expert with strong knowledge in complex workflows. 90%+ QA score with no captured critical error in the past 6 months, and currently not in any performance improvement plan. Mission-driven:Strong commitment to Coinbase s mission with a passion of improving customer experience. Problem solver:Excellent analytical and problem-solving skills to identify trends, patterns, and areas for improvement. Ability to translate QA data into actionable insights. Expert calibrator: Strong communications skills in facilitating discussions and handling misalignments. Ability to handle disagreements but knows when to sway to other s perspectives. Project management:Excellent project management skills in handling quality-specific projects. Reporting management: Great skills in dashboard reporting, documentation, and presentation creation. This includes proficiency in using Google Sheets, Docs, and Slides. Stakeholder management:Exceptional communication and interpersonal abilities, engaging and influencing stakeholders as needed. Organizational and time management:Excellent organizational and time management skills, able to prioritize tasks and manage competing deadlines. Nice to haves: Prior supervisory experience is a huge advantage Experience in supporting high-value customer, account management, and elevated support Basic crypto knowledge COPC or Lean Six Sigma Yellow/Green Belt certification Familiarity with change management processes Familiarity with quality management tools such as NICE/MaestroQA

QA Engineer Experience: 4+ Years Job type: New Job function: Information Technology Location: Hyderabad Job description 4+ years of experience in Automation Testing of Web, Mobile and API Testing (at least 3 yrs relevant in selenium - java) Experience with test automation frameworks like Selenium,Appium, Cucumber, TestNG, Page Object Model, Data driven and Hybrid. Excellent understanding of the STLC process and familiar with the various testing methodologies. Excellent verbal and written communication skills Reviews application requirements/ User Stories and project documentation and asks follow-up questions as needed to gain a full understanding of end-to-end business process requirements. Ability to work with the Test Manager to create Test Plans, participate in scrum ceremonies and represent the Quality Assurance team. Design and manage end-to-end testing activities for various projects across the business lines. Prioritize end to end integration test executions by working closely with the project teams. Collaboratively work with different testing teams and ensure testing standards and client expectations are met. Good to have Skills BDD framework Knowledge TestNG/JUnit or Cucumber Experience in RestAssured, JMeter and Postman

Position: QA Engineer Company Overview: Ignatiuz is a digital transformation and intelligent workplace consulting company with offices in the US (PA) and India (Indore). We focus on accelerating digital performance through innovation and automation, partnering with Fortune 500 clients to deliver high-quality, reliable solutions that drive business success. Role Overview: We are seeking a skilled QA Engineer to join our team. This role will be instrumental in ensuring the quality of our web and mobile applications. As a QA Engineer, you will develop and execute manual test cases, document defects, and collaborate with cross-functional teams to ensure high-quality product delivery. Key Responsibilities: Manual Testing: Develop and execute manual test cases for both web and mobile applications. Defect Documentation: Document test results and defects in a clear, concise manner, ensuring accurate tracking and reporting. Collaboration with Developers: Work closely with developers to ensure timely resolution of defects and maintain product quality. Cross-Functional Communication: Communicate effectively with cross-functional teams to ensure alignment on testing efforts and project timelines. Test Planning: Participate in design reviews, requirement gathering, and the creation of comprehensive test plans. Continuous Learning: Stay up to date with the latest testing tools, techniques, and industry trends. Process Improvement: Provide valuable feedback to improve the testing process and contribute to continuous product quality improvements. Requirements: Testing Methodologies: Strong understanding of testing methodologies, tools, and techniques. Test Management Tools: Familiarity with test management tools such as JIRA, Jenkins, Asana, and API testing tools like Postman. Test Case Writing: Ability to write clear and concise test cases and defect reports. Automated Testing: Experience with automated testing tools is a plus. Communication Skills: Excellent communication skills with the ability to collaborate effectively in a team environment. Location: This position is available at both our Indore and Hyderabad offices.

Why Verizon: At Verizon, we strive to create an environment where ideas can thrive and innovation knows no bounds. Our V Team fosters a culture of collaboration, inclusion, and empowerment, helping every member reach their full potential. We harness cutting-edge technology to connect people to what brings them joy, from work to play. When you join us, you re not just building your career you re contributing to meaningful innovations that shape the world. Role Overview: As a QA Automation Engineer, you will play a critical role in supporting mission-critical applications at Verizon. You ll enhance customer experiences by delivering high-quality, world-class solutions. Working under the mentorship of a technical lead, you will collaborate with cross-functional teams to design, develop, and implement robust test strategies. You ll be instrumental in automating test processes, managing test data, and ensuring timely delivery of sprint cycles. Additionally, you ll explore AI/ML solutions and lead technological transformations in end-to-end testing. Key Responsibilities: Test Automation & Framework Development: Design and develop comprehensive test plans and strategies. Architect competitive test automation frameworks. Develop and maintain new test automation libraries. Automate test data management to streamline processes. Delivery Coordination & Quality Assurance: Ensure timely test completion by coordinating with stakeholders. Adjust test plans as needed to meet sprint release timelines. Certify end-to-end functionality of mission-critical applications. AI/ML Integration: Enable AI/ML solutions by utilizing the latest tools and techniques. Stay updated on emerging testing tools and technologies. Team Leadership & Guidance: Provide technical guidance to team members. Mentor junior resources and lead technology transformation efforts. Qualifications: Basic Requirements: Bachelor s degree or six or more years of relevant work experience. Six or more years of hands-on experience in: Test automation using tools like Selenium, Robot Framework, and API testing. Programming languages such as Python, Java, and scripting in UNIX and Shell. Writing SQL queries and procedures for database testing. Technical Expertise: Strong understanding of Agile methodologies and QA DevOps practices. Proficiency in DevOps tools like GIT, Jenkins, Logstash, and Kibana. Expertise in building and implementing test automation frameworks. Soft Skills: Excellent written and verbal communication skills. Strong problem-solving ability to resolve complex issues independently. Effective collaboration and coordination with multiple stakeholders. Preferred Qualifications: Patent submissions or industry recognition. Relevant certifications in AI, Testing, Cloud, or Project Management. Hands-on experience with Agile delivery and release management. Exposure to cutting-edge tools and technologies in QA and automation. What Verizon Offers: By joining Verizon, you ll work with talented professionals to tackle impactful projects, enhance the customer experience, and grow your career in a dynamic, collaborative environment. We provide the tools, support, and flexibility to help you thrive in this hybrid role. Qualification : Bachelors degree or six or more years of relevant work experience.

Role Overview: As a Test Automation Engineer at Verizon, you will play a crucial role in supporting mission-critical applications. You will be part of a team focused on enhancing customer experiences and building world-class solutions. Working under the mentorship of a technical lead, you will contribute to various projects, mentor junior resources, and help develop and execute test strategies. Your work will directly influence the functionality and quality of Verizon s application ecosystem, particularly as we integrate cutting-edge AI/ML technologies into our testing practices. You will be responsible for automating test data management, creating test plans and strategies, and designing innovative test automation frameworks. You will ensure that testing efforts are aligned with development sprints and release timelines, while driving technology transformation within end-to-end testing. Key Responsibilities: Test Automation Development: Develop and implement automated test cases and ensure efficient test data management. Design and architect competitive test automation frameworks, and develop new automation libraries. Collaborate with technical teams to enhance testing efforts and build robust automated solutions. Test Plan / Strategy Development: Design, develop, and execute comprehensive test plans and strategies for mission-critical applications. Adjust testing efforts in alignment with release timelines and sprint cycles. AI/ML Integration: Enable AI/ML solutions through the latest tools and techniques to enhance testing accuracy and efficiency. Explore the latest testing tools and technologies, leading the transformation of end-to-end testing practices. Collaboration and Coordination: Work closely with multiple stakeholders, including wireless teams, to understand requirements and deliver solutions. Ensure timely completion of test cycles, coordinating with stakeholders to address issues and concerns. Mentorship and Leadership: Mentor junior team members, providing guidance and technical expertise in automation and testing. Lead technical initiatives to drive improvements in testing processes and automation frameworks. Qualifications: Education: Bachelor s degree or equivalent technical qualification. Experience: 6+ years of relevant work experience in Test Automation, including experience with Selenium, Robot Framework, and API Testing. Expertise in automation languages like Python, Java, UNIX, Shell Scripting, and SQL Queries. Experience in Agile methodologies and QA DevOps technologies (e.g., GIT, Jenkins, Logstash, Kibana). Proven experience in building and implementing test automation frameworks. Strong knowledge of Databases, with the ability to write SQL queries and procedures for testing. Skills & Expertise: Solid problem-solving abilities and a proactive approach to resolving complex testing challenges. Excellent written and verbal communication skills, with the ability to collaborate with cross-functional teams. Strong analytical mindset and the ability to work independently and as part of a team to meet project goals. Desired Skills: Patent Experience: Experience in patent submissions is a plus. Certifications: Relevant certifications in AI, Testing, Cloud technologies, or Project Management are highly desirable. Agile & Release Management: Experience working in Agile teams, along with Agile Delivery and Release Management skills. What Verizon Offers: This is an exciting opportunity to work on cutting-edge technologies, including AI/ML, in a dynamic and evolving industry. Verizon offers a collaborative and innovative environment, where your contributions will have a direct impact on enhancing customer experience and driving business outcomes. Where You ll Be Working: This is a hybrid role, offering flexibility to work from home while also having assigned office days as determined by your manager. Qualification : Bachelors degree or six or more years of relevant work experience.

Role:Principal Statistical Modeler - Big Data Location: Hyderabad About the job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready? As a Clinical Moder - Big Data Machine Learning within our Clinical Modeling and Evidence Integration team / Hyderabad, you will develop and implement data cohort creation, data insights and predictive or machine learning models with Big Data (such as large observational study results, electronic health records, Real World Evidence studies) to generate clinical development relevant insights and decision supports. Main responsibilities: Create the cohorts of interest from the big data sources (i.e. electronic health records). Provides data visualization and summaries reports. Develop or implement clinical machine learning models to bridge RWE and clinical inference. Collaborate with cross-functional teams to address scientific questions with integrated RWE and clinical insights. Assist and may work under the direction of clinical modelers. About you Experience: 3 Years of experience in Machine Learning if no PhD Machine learning skills. Experience/Knowledge in Causal inference methods is a plus. Excellent Python and/or R programming skills are required. Experience in tidymodels framework is a plus. Experience using version control systems (eg, Git, GitHub). Soft and technical skills: Good interpersonal and communication skills Good understanding of statistical concepts. Some knowledge about clinical development is a plus. Education: PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines Languages: R, Python, Julia. SAS is a plus Qualification : PhD preferred (or MS + 3 Years of experience) in statistics, Machine Learning, Data Science, mathematics or other related disciplines

Test Automation Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Company: Blend About Blend: Blend is a leading AI services provider dedicated to driving impactful innovation through data science, AI, and technology. Our mission is to empower businesses by aligning human expertise with artificial intelligence, delivering transformative solutions that create lasting value. Job Summary: We are seeking an experienced Test Automation Engineer to strengthen our quality assurance efforts. You will design and implement automated testing frameworks and strategies that ensure the reliability, stability, and performance of our software products, including rollback testing in continuous integration and deployment environments. Key Responsibilities: Design, develop, and maintain scalable test automation frameworks using tools such as Selenium, Cypress, Playwright, or similar. Implement rollback testing to validate system stability during deployment and rollback cycles. Develop automated test scripts covering regression, smoke, sanity, and performance testing scenarios. Integrate automated tests seamlessly into CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. Collaborate with development and DevOps teams to identify gaps in test coverage and improve release reliability. Analyze test results, log defects, and support developers in debugging and resolving issues. Create and maintain detailed test plans, test cases, and documentation. Ensure thorough testing across multiple environments including staging, production, and rollback scenarios. Qualifications: Minimum 5 years of experience in test automation using Selenium, Cypress, Playwright, or equivalent tools. Strong understanding of rollback testing and deployment validation techniques. Proficiency in scripting languages such as Python, JavaScript, or Java. Hands-on experience with CI/CD tools and pipelines including Jenkins, GitLab CI, GitHub Actions, or Azure DevOps. Experience testing REST APIs using tools like Postman or REST Assured. Familiarity with version control systems such as Git and GitHub. Exposure to cloud platforms (AWS, Azure, GCP) is a plus. Excellent analytical, problem-solving, and communication skills. Opportunity to work with cutting-edge AI and automation technologies. Collaborative and innovative work environment. Career growth through mentorship and and learning opportunities. Competitive salary and benefits. Apply now to contribute to Blend s mission of delivering world-class AI solutions with top-quality software testing practices.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Description Come work at a fun, high energy company that really values diversity, giving back, innovation, and that can-do attitude! You have a talent for clarifying complex jargon infested stuff and producing clear, concise, and engaging content. You might edit or create reference docs, templates, UI text, walkthroughs, API docs, diagrams, guidelines, process docs, user guides, presentations, best practices, sites, and Trailhead modules (https://developer.salesforce.com/trailhead/en). What we care about: You have a Bachelor s degree and at least 3-6 years of experience making challenging, complex ideas, concepts, and tasks understandable and appealing to diverse technical audiences. You write clear concise documentation for complex highly technical content (from scratch and within existing docs). You like to dig into the stuff you re writing about so you understand not just how it works, but why it matters to the people using it; serving as the voice of our users when collaborating with scrum teams. You aren t intimidated by code. You may not be a hard-core programmer, but you can write basic code samples. You are also willing to dig into the code to better understand what s going on or to tweak samples to make them shine in a doc context. You re comfortable with source control software, and understand how it s used in the development lifecycle. You enjoy figuring out the best way to get customers the info they need (when and where they need it) and find ways of connecting with the folks who use our content to get their feedback. You ve written as part of your job and have samples to show it. You are self-sufficient, flexible and open enough to adopt our style and processes, but you aren t afraid to make suggestions that could benefit the team. You like being part of a team, so you share information freely and enjoy communicating with others about what you are doing and why it matters. And you have no problem working with teams that are geographically dispersed. You can juggle multiple projects with good humor, while still being able to prioritize between the must-haves and nice-to-haves. You can wade into a new department, review their existing stuff, listen to their upcoming projects, figure out how your skills can make their lives easier, and explain it to them. You can hold your own in conversations with team members about really important topics, such as: Should the cuteness of panda bears be a factor in their survivability? Is love a decision tree or a regression model? How far ahead would society be today if we had 12 fingers instead of 10? You must have: Experience with IDEs, Web services technologies, APIs, SDKs, and/or object-oriented programming Experience writing documentation for a developer audience Working knowledge of application lifecycle management Working knowledge of Java and JavaScript Experience with DITA and XML authoring tools such as Oxygen or Arbortext Strong visualization skills and experience creating images and diagrams of complex systems Qualification : You have a Bachelors degree and at least 3-6 years of experience making challenging, complex ideas, concepts, and tasks understandable and appealing to diverse technical audiences.

General Summary Qualcomm is a world leader in wireless technology innovation, shaping the future of connectivity and digital transformation. As a Hardware Engineer in Qualcomm s SoC Validation Team (SVE), you will play a critical role in ensuring the quality and reliability of Qualcomm s cutting-edge SoC silicon. This role involves developing and testing SoC validation frameworks, debugging complex system/IP issues, and working closely with cross-functional teams to launch world-class products. Responsibilities Framework Development: Design, develop, and debug system/IP validation frameworks for SoC validation in bare-metal and RTOS environments. Test Planning: Understand SoC architecture and features to prepare and execute comprehensive test plans. Validation Content Creation: Develop, port, and enhance system validation content for system-level and low-power use cases. Debugging: Identify hardware bugs, root cause issues, and interface with design/software teams for resolution. Collaboration: Coordinate with IP validation and cross-functional teams for test plans and debugging complex challenges. Performance Metrics: Use silicon debug hooks to measure power, performance, coverage, and other KPIs. Mandatory Qualifications Education: Bachelor s or Master s degree in Electronics and Communication Engineering, Computer Science, or a related field. Experience: 2-5 years of relevant experience (exceptional candidates with less experience from premier institutes will also be considered). Core Skills: Programming: Proficiency in C, C++, and assembly language for low-level programming. CPU Architecture: Strong understanding of ARMv8/ARMv9/x86/PowerPC architectures, including cache coherence, IO coherence, and interrupt handling. SoC Knowledge: Familiarity with SoC architectures, including multicore/multiprocessor systems, SMP/heterogeneous cores, and memory management. Operating Systems: Expertise in RTOS/Linux kernel internals, including scheduling, locking mechanisms, MMU, and virtual memory. Build Tools: Proficient in compilers, linkers (GCC, LLVM, RVDS), and Makefiles for efficient builds. Debugging: Experience using JTAG tools for hardware debugging. Scripting: Strong skills in Python, shell scripting, and other automation tools. Desired Qualifications SoC Expertise: Exposure to SoC architecture paradigms, interconnects, and power management. Pre-Silicon Experience: Familiarity with emulation environments and pre-Si validation workflows. Boot Code Development: Experience working with ARM boot code for silicon enablement. Board Bring-up: Experience bringing up hardware-software solutions on FPGA/emulation platforms. Automation & Regression: Familiarity with build automation tools (Jenkins) and regression testing methodologies. Version Control: Proficiency with source code management tools like Git, Perforce, and SVN. Code Quality: Strong code review and best practice implementation skills. Why Qualcomm? Work with industry leaders on groundbreaking SoC technologies. Collaborate across disciplines, including architects, designers, and software engineers. Contribute to the next generation of smart, connected systems that transform industries. Access to advanced tools and resources for professional growth. Qualification : Bachelors or Masters degree in Electronics and Communication Engineering, Computer Science, or a related field.

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers