12576 Regression Jobs - Page 20

Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. What we are looking for? We are looking for a highly skilled and motivated Security Engineer to join our Infra and Security team. The candidate will be responsible for vulnerability management across our SaaS and on-premise product stacks, driving both remediation and validation efforts. This role also involves conducting penetration testing and leveraging security tools for SAST and DAST to proactively secure our applications and infrastructure. Key Responsibilities Vulnerability Management- Identify, prioritise, and manage security vulnerabilities across both SaaS and on-premise environments. Collaborate with product and engineering teams to ensure timely remediation. Track and report on remediation progress and verify effectiveness of fixes. Fixing & Validation - Work with developers to fix vulnerabilities at the code and configuration levels. Validate fixes through retesting, code reviews, and regression testing. Penetration Testing - Conduct internal penetration testing using tools like OWASP ZAP, Burp Suite, and other industry-standard toolkits. Simulate real-world attacks to assess the security posture of applications and infrastructure. Document findings and deliver detailed reports with actionable recommendations. SAST and DAST Integration- Integrate and maintain Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) tools within CI/CD pipelines. Analyze results and guide development teams on security best practices. Desired Experience Proven experience in vulnerability management in both SaaS and on-prem environments. Hands-on experience with security testing tools such as OWASP ZAP, Burp Suite, or similar. Familiarity with common vulnerability scanning tools and techniques. Strong understanding of SAST and DAST concepts, tools, and workflows. Knowledge of common security standards and frameworks (e.g., OWASP Top 10, CVSS, NVD). Ability to read, understand, and remediate application code or configurations. Excellent problem-solving and communication skills. We care for our team Mentorship & Growth ESOPs Medical and Life Insurance Paid Maternity & Parental Leave Corporate Uber Program Learning & Development Support Acceldata for All We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual. Why Acceldata? Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

Responsibilities JOB DESCRIPTION Develop quality focused test strategies that help the team deliver software that provides maximum quality without sacrificing business value. Test early and often. Work with multiple teams of engineers and product managers to gather requirements and data sources to design and build test plans including data quality validations. Participate in projects developed with agile methodology. Design and document test cases and test data to ensure proper coverage. Perform exploratory/manual tests as needed. Collaborate with software engineers to triage issues and work to ensure the validity, timeliness, consistency, completeness and accuracy of our data across all data platform components. Write, execute, and monitor automated test suites for integration and regression testing. Integrate tests as part of continuous delivery pipelines. Define quality metrics and build quality monitoring solutions and dashboards. Nurture a culture of quality through collaboration with teammates across the engineering function to make sure quality is embedded in both processes and technology. Mentor/coach team members to ensure appropriate testing coverage within the team with a focus on continuous testing and a shift-left approach. A Suitable Candidate Would Have Minimum 3 years of testing experience working with applications developed in languages like, node.js, Python, Golang, Java. Solid experience in writing clear, concise, and comprehensive test plans and test cases. Experience in building automated test suites for API's REST and/or gRPC with focus on data validation. Experience in a programming language like, Python, Java, Golang, using it for automation API testing and web UI testing. Experience with UI frameworks like Selenium, Webdriver IO, cucumber, pytest . Experience with test case management tools like Testrail, and API testing tools like Postman Knowledge of data quality tools like Great Expectations, Deequ, etc. is desirable. Must understand databases and ORMs, experienced with at least one RDBMS and DB Query language. Highly experienced writing queries for data validation across different data sources and during the processing pipeline. Experience on modern Quality Engineering principles such as Continuous Testing and Shift Left. Good understanding of service oriented and microservices architecture. Experience with cloud environments like AWS, GCP, source control tools like Github and continuous integration and delivery software. Attitude to work in a fast-paced environment which values agility over talk. Great communication skills Experience testing fulfillment systems is a plus. Skill Set Scala, GO, Python, Java, Testrail, Pytest, postman, test automation and continue delivery frameworks, Great Expectation framework, AWS, Github, Gitlab, Selenium, Node.JS, react.

Dear all, We are looking for highly motivated PhD freshers in Data Science, AI/ML, or related disciplines to join our team as AI/ML Research . This role is designed for individuals with a strong academic foundation and hands-on project experience , eager to apply their knowledge in real-world AI and Large Language Model (LLM) applications . Key Responsibilities: Research, design, and implement models in AI/ML/NLP , with a focus on Large Language Models (LLMs) . Collaborate with cross-functional teams to integrate models into production or research pipelines. Contribute to codebases and perform experiments using Python and relevant ML libraries. Develop proof-of-concept (PoC) applications or tools based on self-designed research or side projects. Required Qualifications: PhD (completed) in Data Science, Computer Science, Artificial Intelligence, Machine Learning, or related fields. Strong proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow . Practical understanding of foundational ML and deep learning techniques (e.g., regression, classification, transformers, etc.). Experience with LLMs (e.g., GPT, BERT, LLaMA) – either academic research or side projects. Demonstrated ability to build end-to-end AI/ML/NLP projects (e.g., GitHub projects, open-source contributions, thesis work). If you are interested, kindly share your updated CV by emailing it to recruitment.india@maxisit.com.

Who are we and what do we do? BrowserStack is the world’s leading cloud-based software testing platform, empowering over 50,000 customers—including Amazon, Microsoft, Meta, and Google—to deliver high-quality software at speed. Founded in 2011 by Ritesh Arora and Nakul Aggarwal, the company has grown to support more than two million tests daily across 22 global data centers, providing instant access to 35,000+ real devices and browsers. With over 1,200 employees and a remote-first approach, BrowserStack operates at the intersection of scale, reliability, and innovation. Its suite of products spans manual and automated testing, visual regression, accessibility, and test management—all designed to simplify the testing process for modern development teams. Behind the scenes, BrowserStack continues to push the boundaries with AI capabilities like smart test case generation and design, flakiness detection, auto-healing and more —helping teams reduce maintenance overhead, debug faster, and catch issues earlier in the development lifecycle. Recognized for its innovation and growth, BrowserStack has been named to the Forbes Cloud 100 list for four consecutive years. With backing from investors like Accel, Bond, and Insight Partners, the company continues to expand its product offerings and global footprint. Joining BrowserStack means being part of a mission-driven team dedicated to shaping the future of software testing. Role In Nutshell NOTE : This position is for Mumbai (Remote), please apply only if are from Mumbai or open to relocate to Mumbai. Job Responsibilities Lead the management of key programs across multiple functions and product lines. Define timelines and project plans with financial, resource and material requirements. Oversee delivery, release management, and deployment to ensure timelines are met. Own and maintain consistent use of project management tool across teams. Collaborate with cross-functional teams to ensure scope, timeline and resource alignment across teams. Document progress of tasks to identify and manage risks and dependencies across multiple projects. Proactively identify blockers and remove them to guarantee effective execution. Expertise in effective stakeholder management. Requirements 5+ years of experience working in at a top technology MNC or tech start-up in India. 2 years of Program Management experience is a must. Prior engineering experience in a hand-on development/ testing or related role is mandatory. A coder turned Program/ Project manager is highly preferred for this role. Self-starter and ability to build programs from scratch. Must have a positive attitude and ability to roll-up their sleeves to get things done. Conflict management experience to drive decision making across the board Strong exposure with Waterfall/ Scrum/ Kanban/ SAFe/ Agile development processes. Bachelor of Engineering / Technology, Master of Computer Application or equivalent. Good To Have Experience handling both JIRA and Waterfall Projects. Should have experience using JIRA tool either as Scrum Master or Team member, admin experience preferred. Hands on experience on Budget, Cost, Issue and Risk Management. Able to generate define, capture, interpret and refine Metrics based on organisation needs. Demonstrated technical proficiency and effectiveness working closely with engineers. User-driven approach to build delightful products users love. Intellectually curious, self-motivated, a fast learner with a strong bias for action. Outstanding verbal and written communication skills. Superior attention to detail and strong organisational skills. PMP or Scrum Master certification. Benefits In addition to your total compensation, you will be eligible for following benefits, which will be governed by the Company policy: Medical insurance for self, spouse, upto 2 dependent children and Parents or Parents-in-law up to INR 5,00,000 Gratuity as per payment of Gratuity Act, 1972 Unlimited Time Off to ensure our people invest in their wellbeing, to rest and rejuvenate, spend quality time with family and friends Remote-First work environment that allows our people to work from home Remote-First Allowance for home office setup, connectivity, accessories, co-working spaces, wellbeing to ensure an amazing remote work experience

Collaborate with Salesforce developers, business analysts, and stakeholders to understand requirements and define test strategies. Design, develop, and maintain automated test scripts for Salesforce applications using tools like Selenium, Provar, or similar. Perform functional, regression, integration, and end-to-end testing of Salesforce features and customizations. Validate data integrity and workflows across Salesforce clouds (Sales, Service, Experience, etc.). Identify, document, and track defects using tools like JIRA or Azure DevOps. Participate in Agile/Scrum ceremonies and contribute to continuous improvement of QA processes. Ensure test coverage and traceability for all requirements and user stories. Support UAT and production release validation. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Strong knowledge of Salesforce platform, including standard/custom objects, workflows, validation rules, and Apex. Hands-on experience with automation tools such as Selenium, Provar, TestNG, or similar. Experience with test management tools like TestRail, Zephyr, or Xray. Familiarity with CI/CD pipelines and version control systems (e.g., Git, Jenkins). Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Salesforce certifications (e.g., Salesforce Administrator, Platform App Builder). Experience with API testing tools like Postman or REST Assured. Knowledge of SOQL and Salesforce data model. Exposure to Lightning Web Components (LWC) and Salesforce DX.

Role Expectations: Design and execute detailed test cases based on functional and technical requirements Perform manual testing across web, mobile, and backend systems Identify, document, and track bugs through resolution using tools like JIRA or Bugzilla Collaborate closely with developers, product managers, and business analysts Conduct regression testing and support UAT cycles Ensure compliance with QA standards and best practices Qualifications: 3+ years of manual testing experience in web/mobile applications Strong knowledge of SDLC and STLC Experience writing detailed test cases and test plans Familiarity with tools like JIRA, TestRail, or similar Ability to understand business flows and perform end-to-end testing Excellent communication and documentation skills Preference Experience in financial services, capital markets, or broking domain Exposure to basic SQL for data validation Experience with UAT/client-facing testing coordination

This role is for one of Weekday's clients Min Experience: 3 years Location: Bengaluru JobType: full-time Requirements We are looking for a passionate and skilled Automation Engineer with a strong foundation in Python programming and Selenium-based automation . The ideal candidate will be responsible for designing, developing, and maintaining robust automation frameworks to ensure the quality and performance of our applications. This is an exciting opportunity to work in a fast-paced, tech-driven environment where your automation expertise will directly impact the delivery of high-quality software products. Key Responsibilities: Automation Design & Development Design, develop, and maintain scalable test automation frameworks using Python and Selenium. Build and execute automated test scripts for functional, regression, and system testing. Ensure test coverage for both frontend and backend applications. Integrate test automation into the CI/CD pipeline for continuous testing. Test Execution & Reporting Execute automated test suites, analyze results, and log defects in defect management tools. Collaborate with the QA and development teams to resolve issues and verify fixes. Generate detailed test reports and dashboards to communicate automation results and coverage metrics. Identify opportunities for performance and load testing and automate where feasible. Collaboration & Continuous Improvement Work closely with software developers, product managers, and manual QA engineers to understand application features and create corresponding test automation. Provide guidance and support to other QA team members in developing automation skills. Continuously evaluate and recommend tools and technologies to improve automation processes and productivity. Stay updated with industry best practices, emerging tools, and automation trends. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related technical field. 3+ years of experience in test automation with a focus on Python and Selenium. Strong knowledge of automation frameworks like PyTest, unittest, or Robot Framework. Experience integrating automation into CI/CD environments using tools such as Jenkins, GitLab CI, or similar. Good understanding of software testing methodologies - Agile, BDD, TDD, etc. Proficient with version control tools like Git. Familiarity with web technologies such as HTML, CSS, JavaScript, and APIs. Solid debugging, troubleshooting, and problem-solving skills. Strong written and verbal communication skills. Preferred (Nice-to-Have) Skills: Experience with API testing tools like Postman, RestAssured, or requests in Python. Exposure to performance testing tools like JMeter or Locust. Knowledge of cloud-based automation platforms like BrowserStack or Sauce Labs. Familiarity with Agile tools like Jira and Confluence

Job Reference # 323716BR Job Type Full Time Your role Are you passionate about technology? Do you know how to solve challenging problems in elegant ways? We’re looking for someone like that who is: Able to look beyond the status quo and identify areas of constant change/improvement Able to analyze requirements thoroughly & come up with Test plan/test cases to perform Scrum Testing, Functional Integration Testing, and Regression Testing etc. Strong responsibility, accuracy and attention to details. Strong analytical and logical reasoning capability Your team You’ll be working in the FX OPS team in Hyderabad Location and will be working for a tier 1 clearing application in the FX settlement area for world class products across the globe. We provide solutions and execution in a simple, intuitive and flexible way. This benefits our Corporate, Investment and Wealth Management clients. As a Automation Quality Analyst, you’ll play an important role in helping in all the trades to go straight through processing and helping our operation teams to reduce the Manual touches that they do on the trades on daily basis. Also, you will help in automating the functional test cases via relevant automation tools & help in reducing the execution of testing cycle. Your expertise Minimum 9+ years experience of testing complex systems and business flows Should have full understanding of SDLC, QA and Defect Lifecycle Should have Automation experience of Kafka & API Testing. Should have Automation experience using various tools like Selenium or Python Should have devops knowledge along with Automation testing experience and able to work on the CICD Integration of automated test packs. Good to have experience in Banking & Financial Markets, preferably Investment Banking – Forex Trade Settlements Should have experience with Test data identification & creation Should have experience in working & handling different phases of testing. Should have Experience in building automation frameworks Should have Exposure to test management tools (e.g. Gitlab, JIRA, Quality Centre) Should engage proactively with QA Manager regarding project statuses, resourcing, risk Good to have experience in Security & Performance Testing. Good to have basic understanding of Java / VBScript programming for macros development Good to have working experience on various CI tools Good to have working experience with globally distributed teams About Us UBS is the world’s largest and the only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. We have a presence in all major financial centers in more than 50 countries. How We Hire We may request you to complete one or more assessments during the application process. Learn more Join us At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We’re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. We also recognize that great work is never done alone. That’s why collaboration is at the heart of everything we do. Because together, we’re more than ourselves. We’re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us. Disclaimer / Policy Statements UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams. This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization. This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions. This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale. Responsibilities The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine. They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application. They are also going to need to be on call on weekends to bring the application back online in case of failure. Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models. Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization. Designs workflows and analysis tools to streamline the development of new ML models at scale. Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles. Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field. Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems. Qualifications Requirements: Ability to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs. Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment. Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems. Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills. Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features. Experience with scalable data processing, feature development, and model optimization. Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models. Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory. Works collaboratively, both in a technical and cross-functional context. Strong written and verbal communication. Bachelors’ (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

We are seeking an experienced QA Tester with expertise in manual testing and a basic understanding of automation to help ensure our software products meet the highest standards of quality. The ideal candidate will have experience in manual testing, be detail-oriented, and have the ability to adapt to new testing methodologies, including automation frameworks. Job Description: Key Responsibilities: Manual Testing: Execute functional, regression, and integration tests based on test cases and test plans. Perform exploratory testing to identify potential defects and usability issues. Report and document defects, and track their resolution. Collaborate with cross-functional teams (developers, product managers, etc.) to understand requirements and ensure comprehensive test coverage. Perform sanity checks and ensure the software meets user expectations and business requirements. Basic Automation: Assist in the creation and maintenance of automated test scripts for regression testing using basic automation tools (e.g., Selenium, Cypress, etc.). Understand and execute automation scripts to improve test efficiency. Collaborate with the automation team to improve automation practices and integrate automated tests into the CI/CD pipeline. Test Documentation: Create and maintain detailed test cases, test plans, and test reports. Work closely with stakeholders to ensure proper test case coverage for user stories, epics, and features. Collaboration and Communication: Actively participate in scrum meetings, sprint planning, and retrospective sessions. Work with developers to identify and resolve issues during all stages of the software development lifecycle. Provide timely feedback and recommendations to improve the product quality and testing processes. Required Skills & Qualifications: Proven experience (3+ years) in manual testing and quality assurance. Familiarity with basic automation tools such as Selenium, Cypress, or similar. Strong understanding of software testing methodologies, life cycle, and best practices. Experience with writing and executing detailed test cases and test plans. Ability to identify, document, and prioritize defects, along with working in a defect management system (e.g., JIRA, TestRail). Good understanding of version control and test environment management. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Preferred Qualifications: Familiarity with continuous integration/continuous deployment (CI/CD) processes. Experience with version control tools such as Git. Knowledge of SQL for basic database testing. Experience in Agile development environments. Why Join Us? Competitive salary and benefits package. Opportunities for growth and development. A supportive and collaborative team environment. Exposure to both manual testing and automation practices. Location: Chennai Brand: Paragon Time Type: Full time Contract Type: Permanent

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications QA Automation Engineer - Chennai, India Experience Required: Minimum 5 -7 years in QA Automation Join the Global Service Support (GSS) Organization, headquartered in Milpitas, CA—a dynamic team driving service excellence across Service Sales & Marketing, Spares Supply Chain, Field Operations, Engineering, Product Training, and Technical Support. GSS partners closely with field teams and customers to ensure optimal performance and productivity of our products through a flexible portfolio of services. Our Services Include: Proactive tool performance management Expertise in optics, image processing, and motion control 24/7 global technical support and knowledge systems A robust global parts network The GSS Engineering team is focused on building data systems that enhance diagnostics and predictive maintenance. These systems monitor KLA equipment in semiconductor fabs, transforming data into actionable insights through visualizations, analytics, and alerts. This role offers a unique opportunity to collaborate with cross-functional engineering teams and shape the future of KLA’s data analytics capabilities. Key Responsibilities: Design, develop, and maintain automation frameworks using C# Build robust automation scripts for web applications using Selenium Automate REST APIs with tools like RestSharp, including validation of status codes and payloads Integrate SQL-based database validations using tools like pgAdmin and MongoDB Embed test suites into CI/CD pipelines using Jenkins Conduct functional, regression, and integration testing across platforms Collaborate with development and QA teams to ensure comprehensive test coverage Use Git for version control and maintain clean, scalable, and well-documented code Basic Qualifications: Minimum 5-7 years of experience in QA automation Strong written and verbal communication skills Proven ability to develop and maintain automated test scripts Experience with defect/feature tracking systems such as Azure DevOps or JIRA Self-driven with a passion for learning new technologies Strong problem-solving skills and a proactive mindset Minimum Qualifications Bachelor's Level Degree and related work experience of 5-7 years We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

SpartanBots Technologies are looking for a skilled and detail-oriented Software QA Tester (Manual & Automation) to join our quality assurance team. You will be responsible for designing and executing test plans, identifying bugs, and ensuring the delivery of high-quality software solutions across our platforms. Key Responsibilities: Analyze requirements and develop detailed test plans, test cases, and test scripts Execute manual test cases for web, mobile, and desktop applications Design and implement automation scripts using tools like Selenium, TestNG, or similar Conduct functional, regression, integration, UI/UX, and performance testing Identify, document, and track bugs using tools like JIRA or Bugzilla Collaborate closely with developers, product managers, and business analysts Perform API testing using tools like Postman or Rest Assured Contribute to continuous improvement of testing processes and practices Ensure software meets all functional, usability, and performance standards Required Skills: Bachelor’s degree in Computer Science, IT, or a related field 1+ years of experience in manual and automation testing Hands-on experience with automation tools (e.g., Selenium, JUnit, TestNG, Cypress) Familiarity with test management and bug tracking tools (e.g., JIRA, TestRail) Good understanding of SDLC and STLC Strong analytical and problem-solving skills Basic knowledge of SQL for database validation Excellent communication and documentation skills How to Apply: If you're passionate about ensuring quality and delivering excellent user experiences, we’d love to hear from you! Send your CV to: neeru@spartanbots.com Job Types: Full-time, Permanent Pay: ₹15,000.00 - ₹18,000.00 per month Benefits: Paid sick time Work from home Schedule: Monday to Friday Supplemental Pay: Performance bonus Yearly bonus

Description Brief Job Overview The Digital & Innovation group at USP is seeking a Data Scientist with skills in advanced analytics (predictive modeling, machine learning, natural language processing) and data visualization to work on projects that drive innovations and deliver digital solutions. We are seeking someone who understands the power of data and enjoys communicating the insights and help create an unified experience across our ecosystem. How will YOU create impact here at USP? In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments. Use exploratory data analysis to spot anomalies, understand patterns, test hypotheses, or check assumptions. Apply various ML techniques to perform classification or regression tasks to drive business impact and address identified needs in an agile manner. Use natural language processing techniques to extract information and improve business workflows. Interpret and communicate results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding. Collaborate with other data scientists, data engineers, and IT team to help ensure project delivery and success. Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Education: Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience. Experience: Data Scientist: 3 – 6 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Senior Data Scientist: 6 - 10 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Technical proficiency in the following: python/packages: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn); SQL Proficiency in CNN/ RNN models. Proficiency in using GenAI concepts with graph data. Experience with data extraction and scraping. Experience with XML documents and DOM model. Additional Desired Preferences Master’s degree (Information Systems Management, Analytics, Data Engineering, Sciences, or other Quantitative program) Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences Experience with pharmaceutical / IQVIA datasets and nomenclature Experience translating stakeholder needs into technical project outputs Experience working with knowledge graphs in conjunction with RAG patterns and Chunking methodologies. Ability to explain complex technical issues to a non-technical audience Self-directed and able to handle multiple concurrent projects and prioritize tasks independently Able to make tough decisions when trade-offs are required to deliver results Strong communication skills required: Verbal, written, and interpersonal Supervisory Responsibilities This is non-supervisory position Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide. At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare. USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

QA Manager JD Lead and manage QA teams across multiple projects in the banking and financial services domain. Define and implement automation test strategies and frameworks to improve test efficiency and coverage. Establish and monitor key QA metrics (e.g., automation coverage, defect leakage, test efficiency). Track QA deliverables across manual and automation streams and ensure on-time delivery with quality. Collaborate with business stakeholders, developers, and product owners to understand requirements and define QA scope. Oversee the design, development, and execution of automated test scripts and regression test suites. Ensure compliance with domain-specific regulatory and security standards (e.g., PCI DSS, SOX). Drive continuous improvement in QA processes through automation, tools adoption, and root cause analysis. Provide regular QA status updates and reports to leadership, including risk assessments and mitigation plans. Manage test environments, data requirements, and support CI CD pipeline integration for test automation. Strong domain knowledge in banking/financial services core banking, payments, cards, digital banking, or regulatory compliance. Hands-on experience with automation tools such as Selenium, UFT, TestNG, REST Assured, or similar. Strong experience in test strategy, planning, execution, and defect management. Familiarity with Agile, Scrum, and DevOps practices. Excellent communication, stakeholder management, and team leadership skills. Proficient in test management tools like JIRA, ALM, TestRail, and reporting dashboards.

Description The Kindle Ingestion and Expansion (KIX) team create technology to empower authors to publish in both Kindle and Print (through Print-On-Demand) formats on kdp.amazon.com so that readers have the largest catalog of books possible. We own Print-on-Demand tech all up, including publishing through Kindle Enterprise Publishing (kep.amazon.com) and the tech required to manufacture and ship books globally. We also include Mesa, multitenant software and services that accelerate time-to-market for businesses across Amazon (such as Amazon Video, Amazon Music, Merch By Amazon, Digital Software and Video Games, ComiXology, Kindle Periodicals, Amazon locker and more). Key job responsibilities Knowledge of QA methodology and tools, with Demonstrated QA experience in an SDET or QAE role. Knowledge on testing frameworks (UI, API and AI) and automation experience Reporting skills, proficient in creating status reports based on automation results Shows creativity and initiative to improve product coverage and effectiveness Experience working closely with development and business teams to communicate impacts and to understand business requirements. Experience with web and mobile application development or testing Organizational skills, demonstrated ability to track multiple test executions simultaneously and synthesize results. Comfortable communicating cross-functionally and across management levels in formal and informal settings. Experience with API automation testing including unit test automation frameworks A day in the life Quality Assurance Engineers at Amazon test applications and products at the user level and code level, both manually and with automated tools. Our QAEs are not pure black box testers, they are able to understand software internals, debug problems using log files, and write automated tests with scripting tools and/or user-level automated tools. QAEs at Amazon are excellent individual contributors capable of taking up tasks from start to completion with minimal help. QAEs are responsible to understand the product domain, define test strategy and test plans, develop and drive test case execution and drive best practices to release high quality software to our customers. You will work with Software Development Engineers to understand features and technical implementation. You will also work with groups such as Product Management, UX designers to understand customer usage models and develop test plans and suites that approximate real-world environments and regression tests driving the software development process toward quality-centric methodologies. You will develop automated tests to help fasten testing cycles and release faster to our customers. In this role, you will be responsible to deliver manual/automated solutions to test customer facing features. As innovators we embrace new technology, you will be empowered to choose the right highly scalable and available technology to solve complex problems in software quality assurance. If you enjoy building software quality solutions for highly distributed systems and solving challenging problems, come join us! About The Team KIX-QA exists in Chennai and is dedicated to enhancing the quality of features delivered by the KIX Team, with the primary goal of delivering exceptional customer experience for KDP Authors and KEP Publishers. Empower engineers to efficiently and confidently roll out features, delivering the optimal end-to-end user experience. Boost engineering productivity with gray-box testing, tooling, and resilient automation frameworks. Basic Qualifications 4+ years of quality assurance engineering experience Experience in manual testing Experience in automation testing Experience scripting or coding Experience as QA lead on medium to large sized projects Preferred Qualifications Experience with at least one automated test framework like Selenium or Appium Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI MAA 15 SEZ Job ID: A3048621

Overview: Provide advanced analytics support for the LATAM Sector in the Insights Services Center; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of LATAM. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Center o Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions o Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolio o Support LATAM region’s annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets o Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. o Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. o Forecast market growth leveraging (PGM – an internal tool) on an annual basis to inform PEP’s long-term expectations for growth o Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies o Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholders in LATAM and region offices o Own flawless execution of analytics exercises o Responsible for managing multiple priorities; being able to manage deadlines and deliverables o Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects o Deliver outputs in line with the agreed timelines and formats o Flag and monitor any business risks related to delivering the requested outputs o Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operations o Improve existing processes based on frequent Business Partner & end-user feedback loop Qualifications: 6+ years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least Hands on in MS excel(advanced) and SQL Understanding of data structures, adept in data cleaning, structure, and aggregation as per need End-to-end project management. Expert of statistical techniques like regression, forecasting, decision trees and modelling process- concept and coding. Ability to design model architecture and translate business problem into analytical problem Ability to visualize data set and identify KPIs that will help decision making. Good PowerPoint skills. Experience in ML techniques, cloud compatible tech stacks, understanding of data pipeline creation preferable

Are you looking for a unique opportunity to be a part of something great? Want to join a 20,000-member team that works on the technology that powers the world around us? Looking for an atmosphere of trust, empowerment, respect, diversity, and communication? How about an opportunity to own a piece of a multi-billion dollar (with a B!) global organization? We offer all that and more at Microchip Technology, Inc. People come to work at Microchip because we help design the technology that runs the world. They stay because our culture supports their growth and stability. They are challenged and driven by an incredible array of products and solutions with unlimited career potential. Microchip’s nationally-recognized Leadership Passage Programs support career growth where we proudly enroll over a thousand people annually. We take pride in our commitment to employee development, values-based decision making, and strong sense of community, driven by our Vision, Mission, and 11 Guiding Values ; we affectionately refer to it as the Aggregate System and it’s won us countless awards for diversity and workplace excellence. Our company is built by dedicated team players who love to challenge the status quo; we did not achieve record revenue and over 30 years of quarterly profitability without a great team dedicated to empowering innovation. People like you. Visit our careers page to see what exciting opportunities and company perks await! Job Description: Job Description Ø Define and develop verification environments Ø Write verification plans, and documentation Ø Generate test bench and automatic regression plans Ø Be responsible for verification architecture, simulations, verifications, and debugging of circuit and logic designs Ø Complete block-level verification and chip level verification Ø Bring a self-motivated and enthusiastic approach that will achieve any new Ø requirements and overcome all challenges Ø Able to work mostly independently and handle complex SoC Verification platform. Able to debug the RTL for design intent and Interface with cross-functional teams and collaboration in all verification related activities Requirements/Qualifications: Qualifications/Requirements Ø Minimum of 8 years related proven silicon design or verification work experience Ø Hands on project experience with leading edge verification methodologies like OVM/UVM Ø One of the Protocol knowledges AXI/AHB/DDR/PCIe is must Ø Hands on project experience in coverage/assertion driven verification Ø Knowledge of IC chip design, development flow, process, and methodology Ø Knowledge of CMOS logic design, circuit design, and circuit analysis Ø Proficient in HDL languages System Verilog, Verilog and VHDL Ø Good knowledge of UNIX shell scripting, Perl and TCL scripting. Ø Good knowledge and understanding of CMOS device operation and characteristics Ø Proven experience in writing verification plans and test bench development, simulation, and debugging Ø Proficient with UNIX environment, and CAE/CAD tools such as schematic capture, simulation, design verification Ø Must be able to learn new technology Ø Good analytical and problem-solving skills Ø Excellent written and verbal communication in English. Ø Experience dealing with and communicating at different levels of the organization Travel Time: 0% - 25% To all recruitment agencies: Microchip Technology Inc. does not accept unsolicited agency resumes. Please do not forward resumes to our recruiting team or other Microchip employees. Microchip is not responsible for any fees related to unsolicited resumes.

General information Country India State Telangana City Hyderabad Job ID 44860 Department Development Experience Level MID_SENIOR_LEVEL Employment Status FULL_TIME Workplace Type Hybrid Description & Requirements If you're looking for a challenging and rewarding career in software, this is the opportunity for you. As a Lead Quality Assurance Engineer for Infor, you'll be working on a world-class manufacturing application that is used by some of the world's leading manufacturers to manage their operations in complex and dynamic environments. You'll join a high-performing software development team and be responsible for building and testing the best-in-class manufacturing execution system. Our software is built on a modern architecture with a strong focus on user experience, and the team follows agile scrum processes to regularly release new versions. About You This is an exciting opportunity for a seasoned QAE professional who is passionate about quality and automation. You will play a pivotal role in ensuring the robustness, reliability, and performance of our manufacturing execution system. We are looking for someone who: Has a strong background in software quality assurance, with significant experience in automated testing. Is proficient in designing, developing, and maintaining automated test scripts using frameworks and tools such as Selenium and Playwright. Has proven hands-on experience architecting and building automation frameworks from the ground up. Possesses a deep understanding of testing methodologies, including functional, regression, performance, and security testing. Is comfortable working across multiple platforms, including web, mobile, and other devices such as handheld rugged scanners. Has strong programming skills in a relevant language (e.g., Python, C#, JavaScript) to support automation efforts. Has excellent written and verbal communication skills, is highly organized, possesses a keen eye for detail, and is a proactive problem solver. Thrives in a collaborative, agile environment and can take ownership and delivering results. Your Daily Role On a day-to-day basis, you will be a key contributor to the product quality team's workload, focusing on enhancing our automation capabilities and ensuring product excellence. This involves: Designing, developing, and executing comprehensive automated test suites for new features and existing functionalities. Integrating automated tests into our CI/CD pipeline to ensure continuous quality feedback. Analyzing test results, identifying, logging, and progressing complex bugs, and collaborating closely with development teams for timely resolution. Performing in-depth regression testing to validate product stability across releases. Reviewing and testing bug fixes and functional changes against acceptance criteria, with a strong emphasis on automation where possible. Contributing to the definition and improvement of product quality and release processes, with a focus on automation best practices. Managing and mentoring junior QA team members and sharing expertise in test automation. Collaborating with product management and development to understand requirements and provide early feedback on testability and quality considerations. Contributing to internal/external training materials and product demos, showcasing the quality and features of our MES product. Future Opportunities As a Senior Quality Assurance Engineer, you will have ample opportunities to further your expertise and contribute to strategic initiatives, including: Leading the adoption of new testing tools and technologies. Driving the evolution of our automation framework and strategy. Deep involvement in infrastructure and configuration management related to testing environments. Contributing to database testing and advanced coding initiatives. Becoming a subject matter expert in our MES product, understanding its configuration to meet diverse customer requirements. About Infor Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation. For more information visit www.infor.com Our Values At Infor, we strive for an environment that is founded on a business philosophy called Principle Based Management™ (PBM™) and eight Guiding Principles: integrity, stewardship & compliance, transformation, principled entrepreneurship, knowledge, humility, respect, self-actualization. Increasing diversity is important to reflect our markets, customers, partners, and communities we serve in now and in the future. We have a relentless commitment to a culture based on PBM. Informed by the principles that allow a free and open society to flourish, PBM™ prepares individuals to innovate, improve, and transform while fostering a healthy, growing organization that creates long-term value for its clients and supporters and fulfillment for its employees. Infor is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. Infor does not discriminate against candidates or employees because of their sex, race, gender identity, disability, age, sexual orientation, religion, national origin, veteran status, or any other protected status under the law. If you require accommodation or assistance at any time during the application or selection processes, please submit a request by following the directions located in the FAQ section at the bottom of the infor.com/about/careers webpage.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : Join one of the world’s largest and most innovative Media & Entertainment companies as a QA Engineer - AI/ML , where you’ll ensure the quality and reliability of cutting-edge AI and machine learning solutions that are transforming the industry. Our AI/ML-powered systems play a crucial role in optimizing content production, personalization, and consumer engagement, and your contributions will be instrumental in delivering seamless, scalable, and efficient solutions to our global audience. As a QA Engineer specializing in AI/ML, you’ll work closely with data scientists, software engineers, and product teams to rigorously test AI models, data pipelines, and machine learning platforms. Your role will involve defining and implementing robust quality assurance practices for complex AI systems, ensuring they meet the highest standards of performance, scalability, and security. If you are passionate about AI, testing, and driving quality excellence in a dynamic environment, this is your opportunity to make an impact. 1. Quality Assurance for AI/ML Models and Pipelines Develop and execute comprehensive test plans, test cases, and test scripts to validate AI/ML models and data pipelines. Perform rigorous testing of machine learning models to ensure accuracy, reliability, and robustness under various scenarios. Validate data preprocessing, feature engineering, and model training pipelines for correctness and consistency. Identify and address performance bottlenecks in AI systems, ensuring scalability for large datasets and real-time applications. Collaborate with data scientists to validate model outputs and metrics against business requirements. 2. Automation Testing and Tool Development Design and implement automated test frameworks and tools tailored for AI/ML workflows. Automate testing of model deployments, APIs, and data pipelines using industry-standard tools and frameworks. Create scripts to simulate edge cases, stress conditions, and user interactions for AI systems. Build monitoring tools to assess AI model drift, data inconsistencies, and system performance post-deployment. Continuously enhance automation coverage and testing efficiency through innovative practices. 3. Collaboration and Cross-Functional Engagement Work closely with software engineers, data engineers, and product managers to align QA strategies with project goals. Participate in code reviews, design discussions, and sprint planning to incorporate QA perspectives early in the development lifecycle. Provide actionable feedback and insights to development teams to resolve issues and improve system quality. Support end-to-end integration testing of AI/ML solutions across multiple platforms and systems. Act as a quality advocate, promoting best practices for testing and validation within the organization. 4. Governance, Compliance, and Reporting Ensure compliance with data privacy, security, and ethical AI standards during testing and deployment. Develop and maintain comprehensive documentation for QA processes, test cases, and system validations. Monitor and report on key QA metrics, including defect rates, coverage, and system reliability. Support regulatory audits and reviews by providing required testing documentation and evidence. Stay up-to-date with industry trends, tools, and practices in QA for AI/ML systems. 5. Continuous Improvement and Innovation Research and adopt emerging technologies and frameworks for AI/ML testing and validation. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of QA processes. Proactively identify and resolve quality gaps in AI/ML workflows, ensuring a seamless user experience. Contribute to building a culture of quality and accountability within the AI/ML team. Mentor junior team members on QA best practices and technical skills. Qualifications & Experiences: Academic Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. Certifications in software testing (e.g., ISTQB, CSTE) or machine learning (e.g., AWS ML, TensorFlow Developer) are a plus. Professional Experience: 3 + years of experience in QA engineering, with at least 1 + years focused on testing AI/ML systems. Proven expertise in testing machine learning models, data pipelines, and cloud-based AI solutions. Hands-on experience with test automation tools and frameworks such as Selenium, PyTest, JUnit, or similar. Familiarity with CI/CD pipelines and tools like Jenkins, GitHub Actions, or Azure DevOps. Solid understanding of software testing methodologies, including functional, regression, performance, and stress testing. Technical Skills: Proficiency in Python or Java, with experience in writing test scripts for AI/ML applications. Knowledge of AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with testing tools specific to AI/ML, such as DeepChecks or Alibi. Familiarity with data querying languages (SQL) and data processing tools (Pandas, Spark). Understanding of cloud platforms (AWS, GCP, Azure) and their AI/ML services. Other Skills: Strong analytical and problem-solving skills, with a detail-oriented approach. Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team. Passion for quality and a commitment to delivering exceptional results. Ability to adapt to a fast-paced and dynamic environment while maintaining a focus on continuous improvement. Self-motivated and proactive, with a drive to stay updated on industry trends and best practices. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . Roles & Responsibilities Develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions for HR stakeholders Partner with senior analysts build visualizations to communicate insights and recommendations to stakeholders at various levels of the organization Partner with HR senior analysts to implement statistical models, decision support models, and optimization techniques to solve complex business problems. Collaborate with cross-functional teams to gather/analyse data, define problem statements and identify KPIs for decision-making Perform and document data analysis, data validation, and data mapping/design. Collaborate with HR stakeholders to understand business objectives and translate them into projects and actionable recommendations Stay up to date with industry trends, emerging methodologies, and best practices related to reporting analytics / visualization optimization and decision support The HR data Analyst will play a critical role in ensuring the availability, integrity of HR data to drive informed decision-making. Skills and competencies Strong analytical thinking and problem-solving skills, with working knowledge of statistical analysis, optimization techniques, and decision support models. Ability to present complex information to non-technical stakeholders in a clear and concise manner; skilled in creating relevant and engaging PowerPoint presentations. Proficiency in data analysis techniques, including the use of Tableau, ETL tools (Python, R, Domino), and statistical software packages. Advanced skills in Power BI, Power Query, DAX, and data visualization best practices. Experience with data modelling, ETL processes, and connecting to various data sources. Solid understanding of SQL and relational databases. Exceptional attention to detail, with the ability to proactively detect data anomalies and ensure data accuracy. Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously. Strong capability to work with large datasets, ensuring the accuracy and reliability of analyses. Strong business acumen, with the ability to translate analytical findings into actionable insights and recommendations. Working knowledge of data modelling to support analytics needs. Experience conducting thorough Exploratory Data Analysis (EDA) to summarize, visualize, and validate data quality and trends. Ability to apply foundational data science or basic machine learning techniques (such as regression, clustering, or forecasting) when appropriate. Experience: Bachelor's or master's degree in a relevant field such as Statistics, Mathematics, Economics, Operations Research or a related discipline. Minimum of 3+ years of total relevant experience Business experience with visualization tools (e.g., PowerBI) Experience with data querying languages (e.g., SQL), scripting languages (Python) Problem-solving skills with understanding and practical experience across most Statistical Modelling and Machine Learning Techniques. Only academic knowledge is also acceptable. Ability to handle, and maintain the confidentiality of highly sensitive information Experience initiating and completing analytical projects with minimal guidance Experience communicating results of analysis to using compelling and persuasive oral and written storytelling techniques Hands-on experience working with large datasets, statistical software packages (e.g., R, Python), and data visualization tools such as Tableau and Power BI. Experience with ETL processes, writing complex SQL queries, and data manipulation techniques. Experience in HR analytics a nice to have If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Job Title: Data Scientist – Python Experience: 3 to 6 Years Location: Remote Job Type: Full-Time Education: B.E./B.Tech or M.Tech in Computer Science, Data Science, Statistics, or a related field Job Summary We are seeking a talented and results-driven Data Scientist with 3–6 years of experience in Python-based data science workflows. This is a remote, full-time opportunity for professionals who are passionate about solving real-world problems using data and statistical modeling. The ideal candidate should be highly proficient in Python and have hands-on experience with data exploration, machine learning, model deployment, and working with large datasets. Key Responsibilities Analyze large volumes of structured and unstructured data to generate actionable insights Design, develop, and deploy machine learning models using Python and related libraries Collaborate with cross-functional teams including product, engineering, and business to define data-driven solutions Develop data pipelines and ensure data quality, consistency, and reliability Create and maintain documentation for methodologies, code, and processes Communicate findings and model results clearly to technical and non-technical stakeholders Continuously research and implement new tools, techniques, and best practices in data science Required Skills & Qualifications 3–6 years of experience in a data science role using Python Proficiency in Python data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn) Strong statistical analysis and modeling skills Experience with machine learning algorithms (classification, regression, clustering, etc.) Familiarity with model evaluation, tuning, and deployment techniques Hands-on experience with SQL and working with large databases Exposure to cloud platforms (AWS, GCP, or Azure) is a plus Experience with version control (Git), Jupyter notebooks, and collaborative data tools Preferred Qualifications Advanced degree (Master’s preferred) in Computer Science, Data Science, Statistics, or a related discipline Experience with deep learning frameworks like TensorFlow or PyTorch is a plus Familiarity with MLOps tools such as MLflow, Airflow, or Docker Experience in remote team collaboration and agile project environments What We Offer 100% remote work with flexible hours Competitive compensation package Access to cutting-edge tools and real-world projects A collaborative and inclusive work culture Opportunities for continuous learning and professional development Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of DECISION SCIENCE JUNIOR ANALYST Principal responsibilities To support the Business by providing vital input for strategic planning by the senior management which enables effective decision making along with addressing unforeseen challenges. The team leverages the best of data and analytics capabilities to enable smarter decisions and drive profitable growth. The team supports various domains ranging from Regulatory, Operations, Procurement, Human Resources, and Financial Crime Risk. It provides support to various business groups and the job involves data analysis, model and strategy development & implementation, Business Intelligence, reporting and data management The team addresses range of business problems which cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc. Proactively identify key emerging compliance risks across all RC categories and interface appropriately with other RC teams and senior management. To provide greater understanding of the potential impact and associated consequences / failings of significant new or emerging risks. & provide innovative and effective solutions based on SME knowledge that assists the Business / Function. Proposing, managing and tracking the resolution of subsequent risk management actions. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Against this period of considerable regulatory change and development, and as regulators develop their own understanding of compliance risk management, the role holder must maintain a strong knowledge and understanding of regulatory development and the evolution of the compliance risk framework, risk appetite and risk assessment methodology. Deliver repeatable and scalable analytics through the semi-automation of L1 Financial Crime Risk and Regulatory Compliance Risk Assurance controls testing. Here, Compliance Assurance will develop and run analytics on data sets which will contain personal information such as customer and employee data. Requirements Bachelor’s degree from reputed university in statistics, economics or any other quantitative fields. Fresher with educational background relevant in Data Science or certified in Data science courses 1-4 years of Experience in the field of Automation & Analytics Worked on Proof of Concept or Case study solving complex business problems using data Strong analytical skills with business analysis experience or equivalent. Basic knowledge and understanding of financial-services/ banking-operations is a good to have. Delivery focused, demonstrating an ability to work under pressure and within tight deadlines Basic knowledge of working in Python and other Data Science Tools & in visualization tools such as QlikSense/Other visualization tools. Experience in SQL/ETL tools is an added advantage. Understanding of big data tools: Teradata, Hadoop, etc & adopting cloud technologies like GCP/AWS/Azure is good to have Experience in data science and other machine learning algorithms (For e.g.- Regression, Classification) is an added advantage Basic knowledge in Data Engineering skills – Building data pipelines using modern tools / libraries (Spark or similar). You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

The Software Testing Mentor will deliver high-quality instruction and mentorship to students enrolled in Entri Elevate’s Software Testing program. The mentor will facilitate live and virtual sessions, guide students through hands-on projects, and provide personalized feedback to ensure successful completion of the curriculum. The role demands expertise in software testing methodologies and automation tools, along with a passion for teaching and mentoring. Key Responsibilities: ➢ Deliver Engaging Sessions: Conduct live and virtual sessions as per the program schedule, covering topics such as: ■ Software Testing Fundamentals (SDLC, STLC, Agile, Scrum, Black Box, White Box, etc.) ■ Manual Testing (Test Case Design, Defect Life Cycle, Jira) ■ Automation Testing (Selenium, TestNG, Cucumber, Maven, Jenkins) ■ Database Testing (MySQL Queries, Joins, Constraints) ■ Java Programming for Automation (OOPs, Collections, Exception Handling) ■ Integrated Tools (GitHub, JMeter, Postman) ➢ Mentor Projects: Guide students through Mini Projects and Capstone Projects, ensuring practical application of concepts in real-world scenarios (e.g., Banking Project using Maven, GitHub, Jenkins). ➢ Provide Feedback: Review assignments, test cases, code submissions, and project work, offering constructive feedback to enhance student performance. ➢ Track Progress: Monitor student attendance, assignment submissions, and assessment performance using provided trackers to ensure adherence to program milestones. ➢ Conduct Assessments: Facilitate formative, summative, and comprehensive assessments, including MCQs, codeathons, and project evaluations. ➢ Collaborate with Coordinators: Work closely with the program coordinator to align on curriculum delivery, scheduling, and student progress reporting. ➢ Stay Updated: Keep abreast of the latest trends in software testing, automation tools, and industry practices to enrich the learning experience. Qualification: Bachelor’s degree in Computer Science, IT, or a related field (Master’s degree preferred). Experience: ➢ Minimum 2 years of professional experience in Software Testing (Manual and Automation). ➢ Proficiency in J ava programming for automation testing (OOPs, Collections, Exception Handling). ➢ Experience with MySQL database testing and query writing. ➢ Familiarity with Agile methodologies, Scrum frameworks, and DevOps tools (GitHub, JMeter). ➢ Prior teaching, mentoring, or training experience is highly desirable. Technical Skills: ➢ Expertise in SDLC, STLC, and testing types (Functional, Non-Functional, Smoke, Regression, etc.). ➢ Proficiency in Jira for test case creation, execution, and defect tracking. ➢ Knowledge of performance testing (JMeter) and version control (GitHub). ➢ Familiarity with continuous integration tools (Jenkins) and BDD frameworks (Cucumber). Soft Skills: ➢ Strong interpersonal skills to mentor and motivate diverse learners. ➢ Ability to simplify complex technical concepts for beginners. ➢ Time management and organizational skills to adhere to program schedules. Working days: Monday-Saturday Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Health insurance Internet reimbursement Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Application Question(s): What's your current and expected Salary per month? What's your Notice period? Tell us about how proficient are you technically for this job role. Education: Bachelor's (Required) Experience: Software Testing (Manual and Automation): 3 years (Required) Mentor/ trainer: 2 years (Required) Language: Telugu fluently (Required) English fluently (Required) Work Location: Remote