12397 Regression Jobs - Page 6

About the Role We’re looking for top-tier AI/ML Engineers with 6+ years of experience to join our fast-paced and innovative team. If you thrive at the intersection of GenAI, Machine Learning, MLOps, and application development, we want to hear from you. You’ll have the opportunity to work on high-impact GenAI applications and build scalable systems that solve real business problems. Key Responsibilities Design, develop, and deploy GenAI applications using techniques like RAG (Retrieval Augmented Generation), prompt engineering, model evaluation, and LLM integration. Architect and build production-grade Python applications using frameworks such as FastAPI or Flask. Implement gRPC services, event-driven systems (Kafka, PubSub), and CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams to frame business problems as ML use-cases — regression, classification, ranking, forecasting, and anomaly detection. Own end-to-end ML pipeline development: data preprocessing, feature engineering, model training/inference, deployment, and monitoring. Work with tools such as Airflow, Dagster, SageMaker, and MLflow to operationalize and orchestrate pipelines. Ensure model evaluation, A/B testing, and hyperparameter tuning is done rigorously for production systems. Must-Have Skills Hands-on experience with GenAI/LLM-based applications – RAG, Evals, vector stores, embeddings. Strong backend engineering using Python, FastAPI/Flask, gRPC, and event-driven architectures. Experience with CI/CD, infrastructure, containerization, and cloud deployment (AWS, GCP, or Azure). Proficient in ML best practices: feature selection, hyperparameter tuning, A/B testing, model explainability. Proven experience in batch data pipelines and training/inference orchestration. Familiarity with tools like Airflow/Dagster, SageMaker, and data pipeline architecture.

Why Choose Bottomline? Are you ready to transform the way businesses pay and get paid? Bottomline is a global leader in business payments and cash management, with over 35 years of experience and moving more than $16 trillion in payments annually. We're looking for passionate individuals to join our team and help drive impactful results for our customers. If you're dedicated to delighting customers and promoting growth and innovation - we want you on our team! Position Summary The QA Automation Engineer position at CapitalCloud, A Bottomline company is a challenging and rewarding one. In this role you will be responsible for analyzing user needs, participate to develop test strategy, write test cases, develop test automation scripts/framework to support continuous integration. You will need to work with developers and other QA engineers in defining optimal automation plan as per product release timelines. You will have an opportunity to learn new automation tools and propose the same for usage in future automation framework development. This position is based at our Bangalore, India office. Responsibilities Development and maintenance of Automated Test frameworks and systems Review automation code and provide suggestions Develop test automation scripts in Selenium web driver Page Object Model framework along with maintaining and enhancing the automation test framework supporting a continuous integration environment with automated smoke and regression test suite Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. Work closely with developers and other QA engineers to discuss defects and resolutions Utilize appropriate testing tools for both front-end and back-end Quality Assurance Coordinate and manage automated testing efforts for concurrent projects and software releases, including coordinating test automation schedules, environments, and configuration requirements for assigned testing activities and provide feedback to internal and external clients. Required Skills Selenium WebDriver API programming experience a must Knowledge of at least some of following languages: Java, Python, SQL, Groovy Knowledge of Cucumber/Serenity-BDD. Knowledge of at least some of the following applications: SQL Developer, VMware, Eclipse/IntelliJ, SoapUI, Jenkins, JMeter Ability to perform automated testing against a web application UI Ability to perform automated testing against RESTful services Ability to read, write and analyze SQL database queries. (MSSQL, Oracle) Test reporting knowledge and review, using TestNG, SoapUI and Report Portal. The ability to estimate effort, make and meet commitments is required Excellent verbal and written communication skills Outstanding problem-solving skills and ability to own and self-manage daily tasks Preferred Skills Working knowledge and experience with JIRA, Confluence and Git. Ability to learn and master internal frameworks quickly. Experience in Mobile Automation is good to have with knowledge on Appium. Experience with SauceLabs or Browserstack. Some exposure to banking & finance domain would be nice to have. Experience And Education 4 to 8 years of experience in automation framework development for Web application Bachelor’s degree in computer science or equivalent About Bottomline Technologies Bottomline Technologies provides collaborative payment, invoice and document automation solutions to corporations, financial institutions and banks around the world. The company's solutions are used to streamline, automate and manage processes involving payments, invoicing, global cash management, supply chain finance and transactional documents. Organizations trust these solutions to meet their needs for cost reduction, competitive differentiation and optimization of working capital. Serving industries such as financial services, insurance, health care, technology, communications, education, media, manufacturing and government, Bottomline provides products and services to approximately 80 of the Fortune 100 companies and 70 of the FTSE (Financial Times) 100 companies. Bottomline is a participating employer in the Employment Verification (E-Verify) program EOE/AA/M/F/V/D/E-Verify Employer Bottomline Technologies is an Equal Employment Opportunity and Affirmative Action Employer. Please Note: Bottomline Technologies does not accept resumes submitted by recruiting firms unless specifically requested by Human Resources. Unsolicited resumes will be ineligible for referral fees. We welcome talent at all career stages and are dedicated to understanding and supporting additional needs. We're proud to be an equal opportunity employer, committed to creating an inclusive and open environment for everyone.

About Us Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. Why We Do What We Do In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system. Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture. Position Overview Zelis is looking for a Senior Data Scientist who will collaborate with our analytics and data engineering teams to collect, analyze, and derive insights from company, client, and publicly available data. The ideal candidate must have strong experience in data mining/data analysis/predictive modeling, using a variety of data tools, building, and implementing models, supervised and unsupervised learning, NLP, feature reduction, cluster analysis and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. Essential Duties And Functions Understand the business objective and directly participate in the delivery of data science solutions to solve business problems. Extract and analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models. Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights. Build, test, validate models through various relevant methodologies, error metrics and calibration techniques. Validate the post-production model performance and calculate the ROI Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc. Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach. Monitor the projects of Junior Data Scientists, and mentor and provide them guidance when needed. Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems. Communicate data science models’ complex results and the insights to the non-technical audiences. Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. Experience, Qualifications, Knowledge, And Skills Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics. Experience with healthcare and/or insurance data is a plus. Proficiency in SQL, Python/R, NLP and LLM 3-5 years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes. Competent in machine learning principles and techniques. Experience with cloud-based data and AI solutions. Familiarity with collaboration environments (e.g. Jupyter notebooks,gitlab ,github etc)

About Us We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply. Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real . Introduction At ofi, we are at the forefront of harnessing cutting-edge technology to revolutionize our operations. We aim to leverage machine learning and artificial intelligence to drive transformative business outcomes and create value for our clients. We are committed to a culture of innovation, diversity, and continuous improvement, where every team member can contribute and thrive. As a ML Engineer, you will be crucial in developing advanced algorithms and models to tackle complex problems. Your expertise will drive the deployment and upkeep of intelligent systems that enhance our products and services. You will work within a collaborative environment, leveraging data and machine learning to influence business strategies and improve operational efficiency. Key Deliverables Deliver end-to-end ML solutions: Architect and implement state-of-the-art models—classification, regression, clustering, reinforcement learning—precisely tuned to solve high-value business problems. Engineer data & experimentation pipelines at scale: Build reliable, self-service pipelines for ingesting, cleaning, transforming, and aggregating data, and orchestrate rigorous offline/online experiments (cross-validation, A/B tests) to benchmark accuracy, latency, and resource cost. Embed ML seamlessly into products: Partner with data scientists, backend/frontend engineers, and designers to wire models into production services and user experiences, ensuring low-friction integration and measurable product impact. Operate, monitor, and evolve models in production: Own the DevOps stack—automated CI/CD, containerization, and cloud deployment—and run real-time monitoring to detect drift, performance degradation, and anomalies, triggering retraining or rollback as needed. Uphold engineering excellence & knowledge sharing: Enforce rigorous code quality, version control, testing, and documentation; lead code reviews and mentoring sessions that raise the team’s ML craftsmanship. Safeguard data privacy, security, and compliance: Design models and pipelines that meet regulatory requirements, apply robust access controls and encryption, and audit usage to ensure ethical and secure handling of sensitive data. Qualification & Skills Formal grounding in computing & AI: Bachelor’s / Master’s in Computer Science, Data Science, or a related quantitative field. Proven production experience: 4+ years shipping, deploying, and maintaining machine-learning models at scale, with a track record of solving complex, real-world problems. End-to-end technical toolkit: Python (Pandas, NumPy), ML frameworks (TensorFlow, PyTorch, scikit-learn), databases (SQL & NoSQL), and big-data stacks (Spark, Hadoop). MLOps & cloud deployment mastery: Containerization (Docker, Kubernetes), CI/CD pipelines, and monitoring workflows that keep models reliable and reproducible in production. Deep applied-ML expertise: Supervised and unsupervised learning, NLP, computer vision, and time-series analysis, plus strong model-evaluation and feature-engineering skills. Collaboration & communication strength: Clear communicator and effective team player who can translate business goals into technical solutions and articulate results to diverse stakeholders. ofi is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationality, disability, protected veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants are requested to complete all required steps in the application process including providing a resume/CV in order to be considered for open roles.

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to THINK OUTSIDE. Job Summary Polaris, a global powersports leader, is looking for a Mobile App QA Automation Engineer to ensure high quality eCommerce websites. The Ride Command team builds world-class connected vehicle solutions for off-road vehicles and motorcycles. As a Mobile App QA Automation Engineer on the team, you will be responsible for building robust automated testing solutions that regularly exercise full system functionality and ensure project requirements are implemented properly. The ideal candidate is effective in a fast-paced Agile development environment, is fresh on industry best practices and automated testing standards and is passionate about delivering quality products to customers. Interest in powersports is a plus, as there are many opportunities to ride! Essential Duties & Responsibilities Develop, maintain, and communicate meaningful functional test plans that holistically analyze Ride Command websites on all major supported web browser platforms Design, develop and maintain robust and scalable automation framework Thoroughly document issues found, assign proper severity, and drive resolution Execute regression testing to support software releases to customers Integrate automated testing solutions into continuous integration pipelines Support, maintain and administer cloud testing solutions Analyze system performance for bottlenecks Boost unit, integration, and system testing coverage Adopt and mature project’s best practices and coding standards Have a customer-focused mindset for delivering a product that is centered around a great customer experience Be an active participant in and help enhance a mature agile environment Explore new methods and tools for automated testing Mentor and guide junior QA engineers, sharing knowledge and expertise Flexible enough to work on products being produced for a fast-changing market Help build and maintain high team morale Skills & Knowledge Minimum Qualifications: At least 6-8 years of automated testing experience in a production setting Proven experience in creating comprehensive test strategies, test plans, and test cases based on requirements and specifications Extensive experience in developing mobile automation frameworks from scratch using Selenium, C# and appium Demonstrated experience delivering highly effective automated testing solutions using Appium on iOS and Android to ensure comprehensive test coverage Hands on experience in using API testing and automation (Postman / RestAssured) Experience implementing and supporting continuous integration testing solutions using Jenkins / Azure pipelines Strong background and knowledge in automated, system, smoke, black box, integration, and unit testing Experience with Agile development methods such as Scrum and Kanban Ability to work in a collaborative, fast-paced team environment Excellent written and verbal communication skills Bachelor's degree in computer science or similar degree Preferred Qualifications Performance testing experience (JMeter) Script and tool writing experience to aid in test suite execution Playwright / WebDriver IO automation experience (Good to have) Browserstack Experience Exposure to Test Rail Exposure to AI powered testing solutions (Good to have) We are an ambitious, resourceful, and driven workforce, which empowers us to THINK OUTSIDE. Apply today! About Polaris India As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. Polaris India Private Limited is one of the Polaris group subsidiary companies incorporated on 18th Feb 2011. We launched our flagship products including All-Terrain Vehicles (ATVs), Polaris RANGER: RZR® side - by - side and Snowmobiles in India in August 2011. Through our selected product range, we are creating a whole new culture of Off-Road adventure in India. Polaris India has a strong network of 10 dealerships and state of the art Polaris Experience Zones (Off-Road Tracks) to take the off-road riding culture way ahead. We are committed to creating a dynamic work environment where talent thrives, and bold ideas come to life. Join Polaris India, where passion meets innovation! We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. www.polaris.com How We Hire Polaris India Private Limited is committed to a policy of equal employment opportunity and does not discriminate in the terms, conditions, or privileges of employment on account of race, age, color, sex, national origin, physical or mental disability, or religion or otherwise as may be prohibited by law. EEO/AA/M/F/Vets/Disabled

Join us as a Quality Manager in Payments Technology This is an opportunity to act as a key contributor in a business that processes one in every four payments in the UK and £65 trillion per annum for our personal, business and commercial customers We’ll look to you to provide direction and leadership on all Quality matters across the platform, including adoption and compliance with the bank’s standards and policies It’s a great chance to hone your knowledge of quality best practices and develop your collaboration and stakeholder management skills We're offering this role at director level What you'll do In this key role, you’ll be making sure that only well designed and built work packages get through quality testing, and that they transition seamlessly from development into live environments. You’ll be overseeing the entire quality engineering process from ensuring testable requirements to automated regression packs. You’ll aim to get it right first time for our customers through innovative service and solutions, using automation as an accelerator and working closely with stakeholders in an Agile and collaborative environment. We’ll look to you to produce comprehensive and robust quality strategies and detailed quality test plans, enabling the continual flow of work packages across the domain, platform value stream or programme. You’ll also drive the adoption of new tooling such as GenAI to improve test case creation, execution and efficiency. Additionally, You’ll Be Promoting the creation and usage of rich test data datasets that are used throughout the delivery process Taking on ownership of testing OKR’s for the domain such as test or automation coverage, defect leakage and similar Leading and managing the quality strategy, plan and execution results of multiple feature teams, often concurrently Understanding customer and human centric designs and driving the quality of the team’s work to constantly improve solutions and enhance customer experiences Taking accountability for all aspects of quality across both run and change and business as usual activity within the assigned platform or domain Overseeing the output quality from all testing phases owned and making sure it meets the requirements of each quality test strategy Making sure defects are detected and prioritised, based on impact, and resolved at the earliest possible moment and before the last responsible moment Undertaking end-to-end test management including planning, risk, issue, dependency management, lessons learnt and governance The skills you'll need We’re looking for someone with strong knowledge and understanding of quality standards, quality best practices, and our risk and controls framework. You’ll also need high level of knowledge and demonstrable application of modern testing and quality practices and techniques used with Agile methodologies. Additionally, We’ll Be Looking For Practical experience of quality strategy and planning, testing design and execution Experience in functional and non-functional testing such as system, system integration, user, load, volume, stress, security, accessibility, compatibility, penetration and back-out The ability to relate everyday work to the strategic vision of the feature, platform, domain and enterprise teams, with a strong focus on business outcomes The ability to communicate complex technical concepts clearly to peers and management

Job Summary: Senior Engineer 2 (SDET) Location: New Delhi Division: Ticketmaster Sport International Engineering Line Manager: Andrew French Contract Terms: Permanent THE TEAM Ticketmaster Sport is the global leader in sports ticketing. From the smallest clubs to the biggest leagues and tournaments, we are trusted as their ticketing partner. You will be joining the Ticketmaster Sports International Engineering division which is dedicated to the creation and maintenance of industry standard ticketing software solutions. Our software is relied upon by our clients to manage and sell their substantial ticketing inventories. Our clients include some of the highest profile clubs and organisations in sport. Reliability, quality, and performance are expected by our clients. We provide an extensive catalogue of hosted services including back-office tooling, public-facing web sales channels, and other services and APIs. The team you will join is closely involved in all these areas. The Ticketmaster Sports International Engineering division comprises distributed software development teams working together in a highly collaborative environment. You will be joining our expanding engineering team based in New Delhi. THE JOB You will be joining a Microsoft .Net development team as a Senior Quality Assurance Engineer. The team you will be joining is responsible for data engineering in the Sport platform. This includes developing back-end systems which integrate with other internal Ticketmaster systems, as well as with our external business partners. You will be required to work with event-driven systems, message queueing, API development, and much more besides. There is a tremendous opportunity for you to make a difference. We are looking for QA engineers who can help us drive our platform forward from a quality assurance point of view, as well as act as a mentor for more junior members of the team. You will be working very closely with the team lead to ensure the quality of our software and to assist in the planning and decision-making process. Apart from standard manual testing activities you will help improve our automated test suites, as well as be involved with performance testing. In essence, your job will be to ensure our software solutions are of the highest quality, robustness, and performance. What You Will Be Doing Design, build, and maintain scalable and reusable test automation frameworks using C# .Net and Selenium. Collaborate with developers, product managers, and QA to understand requirements and build comprehensive test plans. Defining, developing, and implementing quality assurance practices and procedures and test plans. Create, execute, and maintain automated functional, regression, integration and performance tests. Ensure high code quality and testing standards across the team through code reviews and best practices. Investigate test failures, diagnose bugs and file detailed bug reports Producing test and quality reports. Integrate test automation with CI/CD pipelines (GitLab, Azure Devops, Jenkins). Operating effectively within an organisation with teams spread across the globe. Working effectively within a dynamic team environment to define and advocate for QA standards and best practices to ensure the highest level of quality. Technical Skills Must have: 5+ years of experience in test automation development, preferably in an SDET role Strong hands-on experience with C# .Net and Selenium Webdriver. Experience in tools like NUnit, Specflow, or similar test libraries. Solid understanding of object-oriented programming (OOP) and software design principles. Experience developing and maintaining custom automation frameworks from scratch. Proficiency in writing clear, concise and comprehensive test cases and test plans. Experience of working in scrum teams within Agile methodology. Experience in developing regression and functional test plans, managing defects. Understand Business requirements and identify scenarios of Automated and manual testing Experience in performance testing using Gatling. Experience working with Git CI/CD pipelines. Experience with web service e.g. RESTful services testing including test automation with Rest Assured/Postman. Be proficient working with relational databases such as MSSQL or other relational databases. A deep understanding of Web protocols and standards (e.g. HTTP, REST). Strong problem-solving mindset and a detail-oriented mindset. Nice to have: Exposure to performance testing tools Testing enterprise applications deployed to cloud environments such as AWS. Experience on static code analysis tools like SonarQube etc. Building test infrastructures using containerisation technologies such as Docker and working with continuous delivery or continuous release pipelines. Experience in microservice development. Experience with Octopus Deploy. Experience with TestRail. Experience with event-driven architectures, messaging patterns and practices. Experience with Kafka, AWS SQS or other similar technologies. You (behavioural Skills) Excellent communication and interpersonal skills. We work with people all over the Globe using English as a shared language. As a senior engineer you will be expected to help managers make decisions by describing problems and proposing solutions. To be able to respond positively to challenge. Excellent problem-solving skills. Desire to take on responsibility and to grow as a quality assurance software engineer. Enthusiasm for technology and a desire to communicate that to your fellow team members. The ability to pick up any ad-hoc technology and run with it. Continuous curiosity for new technologies on the horizon. LIFE AT TICKETMASTER We are proud to be a part of Live Nation Entertainment, the world’s largest live entertainment company. Our vision at Ticketmaster is to connect people around the world to the live events they love. As the world’s largest ticket marketplace and the leading global provider of enterprise tools and services for the live entertainment business, we are uniquely positioned to successfully deliver on that vision. We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams. If you’re passionate about live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Our work is guided by our values: Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen. Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive EQUAL OPPORTUNITIES We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.

Join us as a Quality Manager in Payments Technology This is an opportunity to act as a key contributor in a business that processes one in every four payments in the UK and £65 trillion per annum for our personal, business and commercial customers We’ll look to you to provide direction and leadership on all Quality matters across the platform, including adoption and compliance with the bank’s standards and policies It’s a great chance to hone your knowledge of quality best practices and develop your collaboration and stakeholder management skills We're offering this role at director level What you'll do In this key role, you’ll be making sure that only well designed and built work packages get through quality testing, and that they transition seamlessly from development into live environments. You’ll be overseeing the entire quality engineering process from ensuring testable requirements to automated regression packs. You’ll aim to get it right first time for our customers through innovative service and solutions, using automation as an accelerator and working closely with stakeholders in an Agile and collaborative environment. We’ll look to you to produce comprehensive and robust quality strategies and detailed quality test plans, enabling the continual flow of work packages across the domain, platform value stream or programme. You’ll also drive the adoption of new tooling such as GenAI to improve test case creation, execution and efficiency. Additionally, You’ll Be Promoting the creation and usage of rich test data datasets that are used throughout the delivery process Taking on ownership of testing OKR’s for the domain such as test or automation coverage, defect leakage and similar Leading and managing the quality strategy, plan and execution results of multiple feature teams, often concurrently Understanding customer and human centric designs and driving the quality of the team’s work to constantly improve solutions and enhance customer experiences Taking accountability for all aspects of quality across both run and change and business as usual activity within the assigned platform or domain Overseeing the output quality from all testing phases owned and making sure it meets the requirements of each quality test strategy Making sure defects are detected and prioritised, based on impact, and resolved at the earliest possible moment and before the last responsible moment Undertaking end-to-end test management including planning, risk, issue, dependency management, lessons learnt and governance The skills you'll need We’re looking for someone with strong knowledge and understanding of quality standards, quality best practices, and our risk and controls framework. You’ll also need high level of knowledge and demonstrable application of modern testing and quality practices and techniques used with Agile methodologies. Additionally, We’ll Be Looking For Practical experience of quality strategy and planning, testing design and execution Experience in functional and non-functional testing such as system, system integration, user, load, volume, stress, security, accessibility, compatibility, penetration and back-out The ability to relate everyday work to the strategic vision of the feature, platform, domain and enterprise teams, with a strong focus on business outcomes The ability to communicate complex technical concepts clearly to peers and management

Key Responsibilities: Collaborate with cross-functional teams to build micro services or AI/ML-powered features and tools. Work on backend systems, APIs, or data pipelines that support AI workflows. REST APIs, database design, backend frameworks (Node.js, FastAPI, Spring Boot, etc.) Implement efficient algorithms and participate in code reviews. Take ownership of mini-projects under mentor guidance and deliver value. Write clean, maintainable, and well-documented code. Regularly share progress, blockers, and learnings in standups or syncs. What We’re Looking For: Students in B.Tech/M.Tech/BSc/MSc (CS/IT/AI/DS/Math) or equivalent from top engineering collage Solid understanding of Data Structures, Algorithms, and problem-solving . Exposure to AI/ML concepts – supervised learning, regression, classification, etc. Active GitHub with code samples or open-source contributions. Passionate about technology and solving real-life problems using code. Bonus: Experience with Python, NumPy, pandas, scikit-learn, TensorFlow/PyTorch is a plus. Bonus: Exposure to coding contests , Kaggle , Google Summer of Code , or similar communities. Technologies You May Work With: Languages: Python, Java, JavaScript, TypeScript Libraries/Frameworks: TensorFlow, PyTorch, FastAPI, Flask, Next.js Tools: GitHub, VS Code, Jupyter, Postman, Docker Databases: PostgreSQL, MongoDB Others: REST APIs, LLMs, Prompt Engineering, LangChain, Hugging Face

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 You will design, develop, document, and support systems and applications that are used by a large number of developers. You will work in an agile engineering team and will plan and execute technical projects that will support business requirements. You will collaborate with engineers across teams to build, review and deliver scalable solutions for different use-cases Location (Remote): This position requires candidates based in Mumbai or willing to relocate to Mumbai only. Desired Experience Software development or programming experience of 0 - 1 years of experience. Extensive experience with at least one language: Ruby, Nodejs, Python, Java, C/C++. Good knowledge of operating systems, databases and networking concepts Ability to work on Windows and Linux platforms below the application layer, including file systems, kernels, custom installations, scripting, internal APIs, etc Ability to communicate effectively with employees in the company in both technical and non-technical roles Aggressive problem diagnosis and solving real-world problems effectively. Should have a startup mentality, high willingness to learn, and be hardworking and be able to work in a fast-paced environment. What will you do? You will design and develop systems and applications, with agility and quality at scale. You will take responsibility for end-to-end ownership of tasks from development to production. Also will help with the design, implementation, and launch of many key product features. Participate in a culture of code reviews and collaborating closely with other engineers Drive best practices and engineering improvements Find solutions and solve issues around a variety of operating systems or programming languages 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

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

We deliver the world’s most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Applications Technical Specialist II with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Ensure project deployment as per conceptual design documentation and architecture Collaborate with various Information Technology and business stakeholder groups to ensure deployed solutions meet all agreed upon criteria Primary resource responsible for development of enhancements & fixes, and ongoing support of ServiceNow HRSD Design, develop and implement service portal related enhancements/fixes with the ServiceNow HRSD module Develop integrations on ServiceNow platform to various modules ITSM, HRSD, Custom Apps, Etc., Build and maintain Service Catalogues/ Record Producers inclusive of workflow and Orchestration Create and maintain client scripts, business rules, UI Policies, widgets, service portal, jobs, etc. (JavaScript/HTML/CSS) Troubleshoot and resolve any potential technical application issues. Adhere to ServiceNow best practices (code best practices, update sets, table relationships, application customization, etc.) Adhere to Worley Change Management principles to ensure the stability of sub-production and production environments Proactive, responsive and focused on anticipating future requirements and/or issues Recover quickly after change, disruptions, or mistakes and can remain productive and focused. Is adaptable and can apply lessons learned in one situation to another situation. Develop clear and concise technical/process documentation Global Reports creation and administration with platform analytics or performance analytics features Provide HRSD application training to business teams and help desks (train the trainer) About You To be considered for this role it is envisaged you will possess the following attributes: Excellent interpersonal and presentation skills Fluent in spoken and written English 5+ years experience as a ServiceNow Administrator 5+ years experience using JavaScript in ServiceNow 5+ years experience as an administrator for ServiceNow Service Catalogs and Service Portal 5+ years experience using web services in ServiceNow (REST and SOAP) 5+ years experience integrating ServiceNow with other platforms via all available options (automated flat file loads and transform maps, web services, connectors, etc) Experience implementing and maintaining SLAs Experience using Integration Hub and Service Graph connectors Experience acting as an administrator for all ITSM modules Experience acting as the primary regression testing resource for a ServiceNow upgrade. Strong understanding of the Users, Groups, Roles, and Security Groups implementation in ServiceNow and the automated methods used to maintain them. Sound knowledge of industry standards and methodologies Broad understanding of software applications in use at Worley including but not limited to Peoplelink, Oracle eBusiness Suite, Windows Operating Systems, Citrix, Systems Centre Suite of Products, Active Directory, Azure, Office 365, SharePoint, MS Teams Ability to work with globally dispersed virtual teams across a number of disciplines with Finance Service Management, HAM, HRSD, ITOM applications (Discovery, Event Management, Operational Intelligence, Orchestration, Service Mapping, CMDB) highly desirable. Personal Qualities/Behaviours: Strong work ethic Detail oriented and able to solve problems with efficient troubleshooting. Self-driven and takes responsibility. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley. Company Worley Primary Location IND-MM-Mumbai Other Locations IND-KR-Bangalore, IND-AP-Hyderabad, IND-MM-Pune, IND-TN-Chennai, IND-MM-Navi Mumbai Job Applications Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior General Manager

Your IT Future, Delivered. Senior Software Engineer (AI/ML Engineer) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At DHL IT Services, we are designing, building and running IT solutions for the whole DPDHL globally. Grow together. The AI & Analytics team builds and runs solutions to get much more value out of our data. We help our business colleagues all over the world with machine learning algorithms, predictive models and visualizations. We manage more than 46 AI & Big Data Applications, 3.000 active users, 87 countries and up to 100,000,000 daily transaction. Integration of AI & Big Data into business processes to compete in a data driven world needs state of the art technology. Our infrastructure, hosted on-prem and in the cloud (Azure and GCP), includes MapR, Airflow, Spark, Kafka, jupyter, Kubeflow, Jenkins, GitHub, Tableau, Power BI, Synapse (Analytics), Databricks and further interesting tools. We like to do everything in an Agile/DevOps way. No more throwing the “problem code” to support, no silos. Our teams are completely product oriented, having end to end responsibility for the success of our product. Ready to embark on the journey? Here’s what we are looking for: Currently, we are looking for AI / Machine Learning Engineer . In this role, you will have the opportunity to design and develop solutions, contribute to roadmaps of Big Data architectures and provide mentorship and feedback to more junior team members. We are looking for someone to help us manage the petabytes of data we have and turn them into value. Does that sound a bit like you? Let’s talk! Even if you don’t tick all the boxes below, we’d love to hear from you; our new department is rapidly growing and we’re looking for many people with the can-do mindset to join us on our digitalization journey. Thank you for considering DHL as the next step in your career – we do believe we can make a difference together! What will you need? University Degree in Computer Science, Information Systems, Business Administration, or related field. 2+ years of experience in the Data Scienctist / Machine Learning Engineer role Strong analytic skills related to working with structured, semi structured and unstructured datasets. Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. sentiment analysis, Topic Modeling), Natural Language Generation. Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Time Series, distribution / probability theory and/or Strong experience in specialized analytics tools and technologies (including, but not limited to) Lead the integration of large language models into AI applications. Very good in Python Programming. Power BI, Tableau Develop the application and deploy the model in production. Kubeflow, ML Flow, Airflow, Jenkins, CI/CD Pipeline. As an AI/ML Engineer, you will be responsible for developing applications and systems that leverage AI tools, Cloud AI services, and Generative AI models. Your role includes designing cloud-based or on-premises application pipelines that meet production-ready standards, utilizing deep learning, neural networks, chatbots, and image processing technologies. Professional & Technical Skills: Essential Skills: Expertise in Large Language Models. Strong knowledge of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Practical experience with various machine learning algorithms, including linear regression, logistic regression, decision trees, and clustering techniques. Proficient in data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Awareness of Apache Spark, Hadoop Awareness of Agile / Scrum ways of working. Identify the right modeling approach(es) for given scenario and articulate why the approach fits. Assess data availability and modeling feasibility. Review interpretation of models results. Experience in Logistic industry domain would be added advantage. Roles & Responsibilities: Act as a Subject Matter Expert (SME). Collaborate with and manage team performance. Make decisions that impact the team. Work with various teams and contribute to significant decision-making processes. Provide solutions to challenges that affect multiple teams. Lead the integration of large language models into AI applications. Research and implement advanced AI techniques to improve system performance. Assist in the development and deployment of AI solutions across different domains. You should have: Certifications in some of the core technologies. Ability to collaborate across different teams/geographies/stakeholders/levels of seniority. Customer focus with an eye on continuous improvement. Energetic, enthusiastic and results-oriented personality. Ability to coach other team members, you must be a team player! Strong will to overcome the complexities involved in developing and supporting data pipelines. Language requirements: English – Fluent spoken and written (C1 level) An array of benefits for you: Hybrid work arrangements to balance in-office collaboration and home flexibility. Annual Leave: 42 days off apart from Public / National Holidays. Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease. In House training programs: professional and technical training certifications.

We are seeking a highly skilled Senior QA Engineer with a strong background in SAP Commerce Cloud (Hybris) to join our team in Chennai. The ideal candidate will have extensive experience in eCommerce website testing and a proven track record in SAP QA processes. Location: Chennai (On-site) Experience: 5+ Years in SAP QA Employment Type: Full-time Key Responsibilities: • Conduct end-to-end functional testing of eCommerce applications built on SAP Commerce Cloud (Hybris) • Collaborate with development, business, and product teams to understand requirements and translate them into detailed test plans • Perform manual and functional testing for web applications, integrations, and APIs • Report and track bugs in a structured manner • Ensure timely and high-quality test deliverables • Participate in regression testing and ensure system stability after deployments • Contribute to QA process improvement initiatives Required Skills: • Minimum 5+ years of hands-on experience in SAP QA • Strong experience in SAP Commerce Cloud (Hybris) testing for eCommerce platforms • Solid understanding of QA methodologies, tools, and processes • Experience with bug tracking tools like JIRA, TestRail, etc. • Strong analytical and problem-solving skills • Excellent communication and collaboration skills Good to Have: • Experience in automation testing using Selenium or similar frameworks • Exposure to performance testing or API testing tools (Postman, JMeter, etc.)

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

OUR STORY Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. OUR VALUES Customer First. Customer satisfaction is our highest priority. High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about. Essential design. We don't chase trends, and we don't sell everything. We're expert curators that find the very best and bring it to you at the lowest prices. Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners. Environmentally and Socially conscious. We're committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers. OUR TEAM AND SUCCESS Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You'll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. About the Role We are looking for a Senior Software Development Engineer in Test (SDET-2) for the development of scalable test automation frameworks, drive best testing practices, and enhance overall software quality. As an SDET-2, you will work closely with software engineers, DevOps, and product teams to ensure test automation is embedded throughout the development lifecycle. You will mentor junior SDETs and contribute to continuous improvement in test automation and quality engineering processes. Key Responsibilities Test Automation & Framework Development Design and develop scalable and maintainable test automation frameworks for UI, API, and performance testing. Implement robust test scripts using Java, Python, or JavaScript with frameworks such as Selenium, Cypress, Appium, or Playwright. Develop and maintain API test automation using RestAssured, Postman, or Karate. Enhance existing automation frameworks to improve execution speed, stability, and maintainability. Implement performance testing strategies using tools like JMeter, Gatling, or Locust. Collaborate with development teams to integrate automated tests early in the SDLC (Shift-Left testing). Quality Engineering & Best Practices Ensure comprehensive test coverage across functional, regression, integration, and performance testing layers. Drive test-driven development (TDD) and behavior-driven development (BDD) methodologies. Improve test data management for stable and repeatable test execution. Implement mocking and service virtualization where applicable. Lead code reviews for test automation scripts and provide feedback. CI/CD & DevOps Integration Enhance test execution in CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, Bamboo, or CircleCI. Work closely with DevOps engineers to optimize test automation in containerized environments (Docker, Kubernetes). Develop test execution reports and dashboards using Allure, TestRail, and Datadog. Collaboration & Mentorship Work closely with developers, DevOps, and product managers to define test strategies and quality metrics. Participate in defect triage and help identify root causes for production issues. Qualifications & Experience 2-5 years of experience in software development, test automation, and quality engineering. Strong proficiency in one or more programming languages: Java, Python, JavaScript. Hands-on experience with test automation frameworks like Selenium, Cypress, TestNG, JUnit, Appium, Playwright. Experience in testing RESTful APIs and microservices. Familiarity with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or CircleCI. Experience in cloud-based testing (AWS, GCP, or Azure). Exposure to performance testing (JMeter, Gatling, Locust) and security testing methodologies. Experience working in Agile/Scrum environments. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications Experience with containerized applications (Docker, Kubernetes). Familiarity with mocking frameworks (WireMock, Mountebank). Knowledge of contract testing using Pact or similar tools Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. If you require reasonable accommodation during any part of the application or interview process, please contact accommodations@onequince.com. We are committed to ensuring an inclusive and accessible hiring process for all candidates. Security Advisory: Beware of Frauds At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description JOB SUMMARY 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. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

About NCR VOYIX NCR VOYIX Corporation (NYSE: VYX) is a leading global provider of digital commerce solutions for the retail, restaurant and banking industries. NCR VOYIX is headquartered in Atlanta, Georgia, with approximately 16,000 employees in 35 countries across the globe. For nearly 140 years, we have been the global leader in consumer transaction technologies, turning everyday consumer interactions into meaningful moments. Today, NCR VOYIX transforms the stores, restaurants and digital banking experiences with cloud-based, platform-led SaaS and services capabilities. Not only are we the leader in the market segments we serve and the technology we deliver, but we create exceptional consumer experiences in partnership with the world’s leading retailers, restaurants and financial institutions. We leverage our expertise, R&D capabilities and unique platform to help navigate, simplify and run our customers’ technology systems. Our customers are at the center of everything we do. Our mission is to enable stores, restaurants and financial institutions to exceed their goals – from customer satisfaction to revenue growth, to operational excellence, to reduced costs and profit growth. Our solutions empower our customers to succeed in today’s competitive landscape. Our unique perspective brings innovative, industry-leading tech to all the moving parts of business across industries. NCR VOYIX has earned the trust of businesses large and small — from the best-known brands around the world to your local favorite around the corner. About Company: NCR VOYIX Corporation (NYSE: VYX) is a leading global provider of digital commerce solutions for the retail, restaurant and banking industries. NCR VOYIX is headquartered in Atlanta, Georgia, with approximately 16,000 employees in 35 countries across the globe. For nearly 140 years, we have been the global leader in consumer transaction technologies, turning everyday consumer interactions into meaningful moments. Today, NCR VOYIX transforms the stores, restaurants and digital banking experiences with cloud-based, platform-led SaaS and services capabilities. Not only are we the leader in the market segments we serve and the technology we deliver, but we create exceptional consumer experiences in partnership with the worlds leading retailers, restaurants and financial institutions. We leverage our expertise, R&D capabilities and unique platform to help navigate, simplify and run our customers technology systems. Role- Software Quality Engineer- Automation Experience- 3-5Yrs Work Loc- Hyderabad Immediate Joiners Preferred Essential Duties and Responsibilities : Automating the regression suites using ,Selenium, ,,Java,SQL. Playwright(Preferred) Hands on Experience on test automations development and executions. Test system modifications to prepare for implementation. Investigate customer problems referred by technical support. Communication with customer support teams. Provide technical support during software installation and configuration.. Identify program deviations from standards, and suggest modifications to ensure compliance. Provide feedback and recommendations to developers on software usability and functionality. Plan test schedules or strategies in accordance with project scope or delivery dates. Design test plans, scenarios, scripts, or procedures. SQL Server Proficiency, the ability to read and understand complex queries, experience with SQL Profiler, SQL Reporting Services and SQL Management Studio. Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential problems. Review software documentation to ensure technical accuracy, compliance, or completeness, or to mitigate risks. Develop or specify standards, methods, or procedures to determine product quality or release readiness. Offers of employment are conditional upon passage of screening criteria applicable to the job EEO Statement Integrated into our shared values is NCR Voyix’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. NCR Voyix is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. Every individual at NCR Voyix has an ongoing responsibility to respect and support a globally diverse environment. Statement to Third Party Agencies To ALL recruitment agencies: NCR Voyix only accepts resumes from agencies on the preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Voyix employees, or any NCR Voyix facility. NCR Voyix is not responsible for any fees or charges associated with unsolicited resumes “When applying for a job, please make sure to only open emails that you will receive during your application process that come from a @ncrvoyix.com email domain.”

Description How often have you had an opportunity to be an early member of a team that is tasked with solving a huge customer need through disruptive and innovative technology? Amazon Stores FinTech Team is seeking a Data Engineer to design and build a flagship multi-year project to inject automated planning and predictive forecasting, and help shape an end UI, built on the AWS Data Lake. We are the tech team that builds and supports Worldwide Amazon Stores – one of the fastest growing, largest and most complex Supply Chains in the world. This position requires a high level of technical expertise with data engineering concepts. Key job responsibilities Expertise and experience in building and scaling Finance Planning Applications Deliver on data architecture projects and implementation of next generation financial solutions Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc Build and deliver high quality data architecture and pipelines to support customer reporting needs Interface with other technology teams to extract, transform, and load data from a wide variety of data sources Continually improve ongoing data extraction, cleansing, validation, transformation and ingestion processes, automating or simplifying self-service support for customers Collaborate with business users, development teams, and operation engineering teams to tackle business requirements and deliver against high operational standards of system availability and reliability Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes Prepare run books, methods of procedures, tutorials, training videos on best practices for the team Build monitoring dashboards and creation of critical alarms for the system Build and enhance software to extend system, application, or tool functionality to improve business processes and meet end user needs while working within the overall system architecture Build automated unit test and regression test framework that can be leveraged across multiple data systems Build data reconciliation framework and tools that can be leveraged across multiple data systems Diagnose and resolve operational issues, perform detailed root cause analysis, respond to suggestions for enhancements Identify process improvement opportunities to drive innovation Rotational on-call availability for critical systems support Basic Qualifications 3+ years of data engineering experience 3+ years of SQL experience Experience with data modeling, warehousing and building ETL pipelines Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS 5+ years of experience working in Financial Planning & Reporting domain Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 3+ years experience in designing and building data integration with planning technologies such as IBM Cognos Planning Analytics/TM1 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 - BLR 14 SEZ Job ID: A3013849

Job Summary: Senior Engineer 2 (SDET) Location: New Delhi Division: Ticketmaster Sport International Engineering Line Manager: Andrew French Contract Terms: Permanent THE TEAM Ticketmaster Sport is the global leader in sports ticketing. From the smallest clubs to the biggest leagues and tournaments, we are trusted as their ticketing partner. You will be joining the Ticketmaster Sports International Engineering division which is dedicated to the creation and maintenance of industry standard ticketing software solutions. Our software is relied upon by our clients to manage and sell their substantial ticketing inventories. Our clients include some of the highest profile clubs and organisations in sport. Reliability, quality, and performance are expected by our clients. We provide an extensive catalogue of hosted services including back-office tooling, public-facing web sales channels, and other services and APIs. The team you will join is closely involved in all these areas. The Ticketmaster Sports International Engineering division comprises distributed software development teams working together in a highly collaborative environment. You will be joining our expanding engineering team based in New Delhi. THE JOB You will be joining a Microsoft .Net development team as a Senior Quality Assurance Engineer. The team you will be joining is responsible for data engineering in the Sport platform. This includes developing back-end systems which integrate with other internal Ticketmaster systems, as well as with our external business partners. You will be required to work with event-driven systems, message queueing, API development, and much more besides. There is a tremendous opportunity for you to make a difference. We are looking for QA engineers who can help us drive our platform forward from a quality assurance point of view, as well as act as a mentor for more junior members of the team. You will be working very closely with the team lead to ensure the quality of our software and to assist in the planning and decision-making process. Apart from standard manual testing activities you will help improve our automated test suites, as well as be involved with performance testing. In essence, your job will be to ensure our software solutions are of the highest quality, robustness, and performance. WHAT YOU WILL BE DOING Design, build, and maintain scalable and reusable test automation frameworks using C# .Net and Selenium. Collaborate with developers, product managers, and QA to understand requirements and build comprehensive test plans. Defining, developing, and implementing quality assurance practices and procedures and test plans. Create, execute, and maintain automated functional, regression, integration and performance tests. Ensure high code quality and testing standards across the team through code reviews and best practices. Investigate test failures, diagnose bugs and file detailed bug reports Producing test and quality reports. Integrate test automation with CI/CD pipelines (GitLab, Azure Devops, Jenkins). Operating effectively within an organisation with teams spread across the globe. Working effectively within a dynamic team environment to define and advocate for QA standards and best practices to ensure the highest level of quality. TECHNICAL SKILLS Must have: 5+ years of experience in test automation development, preferably in an SDET role Strong hands-on experience with C# .Net and Selenium Webdriver. Experience in tools like NUnit, Specflow, or similar test libraries. Solid understanding of object-oriented programming (OOP) and software design principles. Experience developing and maintaining custom automation frameworks from scratch. Proficiency in writing clear, concise and comprehensive test cases and test plans. Experience of working in scrum teams within Agile methodology. Experience in developing regression and functional test plans, managing defects. Understand Business requirements and identify scenarios of Automated and manual testing Experience in performance testing using Gatling. Experience working with Git CI/CD pipelines. Experience with web service e.g. RESTful services testing including test automation with Rest Assured/Postman. Be proficient working with relational databases such as MSSQL or other relational databases. A deep understanding of Web protocols and standards (e.g. HTTP, REST). Strong problem-solving mindset and a detail-oriented mindset. Nice to have: Exposure to performance testing tools Testing enterprise applications deployed to cloud environments such as AWS. Experience on static code analysis tools like SonarQube etc. Building test infrastructures using containerisation technologies such as Docker and working with continuous delivery or continuous release pipelines. Experience in microservice development. Experience with Octopus Deploy. Experience with TestRail. Experience with event-driven architectures, messaging patterns and practices. Experience with Kafka, AWS SQS or other similar technologies. YOU (BEHAVIOURAL SKILLS) Excellent communication and interpersonal skills. We work with people all over the Globe using English as a shared language. As a senior engineer you will be expected to help managers make decisions by describing problems and proposing solutions. To be able to respond positively to challenge. Excellent problem-solving skills. Desire to take on responsibility and to grow as a quality assurance software engineer. Enthusiasm for technology and a desire to communicate that to your fellow team members. The ability to pick up any ad-hoc technology and run with it. Continuous curiosity for new technologies on the horizon. LIFE AT TICKETMASTER We are proud to be a part of Live Nation Entertainment, the world’s largest live entertainment company. Our vision at Ticketmaster is to connect people around the world to the live events they love. As the world’s largest ticket marketplace and the leading global provider of enterprise tools and services for the live entertainment business, we are uniquely positioned to successfully deliver on that vision. We do it all with an intense passion for Live and an inspiring and diverse culture driven by accessible leaders, attentive managers, and enthusiastic teams. If you’re passionate about live entertainment like we are, and you want to work at a company dedicated to helping millions of fans experience it, we want to hear from you. Our work is guided by our values: Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen. Teamwork - We believe individual achievement pales in comparison to the level of success that can be achieved by a team Integrity - We are committed to the highest moral and ethical standards on behalf of the countless partners and stakeholders we represent Belonging - We are committed to building a culture in which all people can be their authentic selves, have an equal voice and opportunities to thrive EQUAL OPPORTUNITIES We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities.

We deliver the world’s most complex projects. Work as part of a collaborative and inclusive team. Enjoy a varied & challenging role. Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Applications Technical Specialist II with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Ensure project deployment as per conceptual design documentation and architecture Collaborate with various Information Technology and business stakeholder groups to ensure deployed solutions meet all agreed upon criteria Primary resource responsible for development of enhancements & fixes, and ongoing support of ServiceNow HRSD Design, develop and implement service portal related enhancements/fixes with the ServiceNow HRSD module Develop integrations on ServiceNow platform to various modules ITSM, HRSD, Custom Apps, Etc., Build and maintain Service Catalogues/ Record Producers inclusive of workflow and Orchestration Create and maintain client scripts, business rules, UI Policies, widgets, service portal, jobs, etc. (JavaScript/HTML/CSS) Troubleshoot and resolve any potential technical application issues. Adhere to ServiceNow best practices (code best practices, update sets, table relationships, application customization, etc.) Adhere to Worley Change Management principles to ensure the stability of sub-production and production environments Proactive, responsive and focused on anticipating future requirements and/or issues Recover quickly after change, disruptions, or mistakes and can remain productive and focused. Is adaptable and can apply lessons learned in one situation to another situation. Develop clear and concise technical/process documentation Global Reports creation and administration with platform analytics or performance analytics features Provide HRSD application training to business teams and help desks (train the trainer) About You To be considered for this role it is envisaged you will possess the following attributes: Excellent interpersonal and presentation skills Fluent in spoken and written English 5+ years experience as a ServiceNow Administrator 5+ years experience using JavaScript in ServiceNow 5+ years experience as an administrator for ServiceNow Service Catalogs and Service Portal 5+ years experience using web services in ServiceNow (REST and SOAP) 5+ years experience integrating ServiceNow with other platforms via all available options (automated flat file loads and transform maps, web services, connectors, etc) Experience implementing and maintaining SLAs Experience using Integration Hub and Service Graph connectors Experience acting as an administrator for all ITSM modules Experience acting as the primary regression testing resource for a ServiceNow upgrade. Strong understanding of the Users, Groups, Roles, and Security Groups implementation in ServiceNow and the automated methods used to maintain them. Sound knowledge of industry standards and methodologies Broad understanding of software applications in use at Worley including but not limited to Peoplelink, Oracle eBusiness Suite, Windows Operating Systems, Citrix, Systems Centre Suite of Products, Active Directory, Azure, Office 365, SharePoint, MS Teams Ability to work with globally dispersed virtual teams across a number of disciplines with Finance Service Management, HAM, HRSD, ITOM applications (Discovery, Event Management, Operational Intelligence, Orchestration, Service Mapping, CMDB) highly desirable. Personal Qualities/Behaviours: Strong work ethic Detail oriented and able to solve problems with efficient troubleshooting. Self-driven and takes responsibility. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley. Company Worley Primary Location IND-MM-Mumbai Other Locations IND-KR-Bangalore, IND-AP-Hyderabad, IND-MM-Pune, IND-TN-Chennai, IND-MM-Navi Mumbai Job Applications Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior General Manager

Job Title: QA Automation Tester – Fresher Experience: 6 Months to 1 Year Location: On Site Job Type: Full-Time Joining: Immediate Joiners Preferred Job Summary: We are looking for a motivated and detail-oriented QA Automation Tester with 6 months to 1 year of experience in test automation. The ideal candidate should have a basic understanding of software testing concepts, automation tools, and scripting languages. This is a great opportunity for someone looking to kick-start their career in automation testing within a supportive and fast-paced environment. Key Responsibilities: Assist in the creation and execution of automated test scripts for web and mobile applications. Work closely with developers and QA leads to understand application functionality and test requirements. Participate in test planning, test case design, and test execution. Identify, document, and track bugs using standard bug tracking tools. Support the QA team in functional, regression, and integration testing . Contribute to the development and maintenance of test automation frameworks. Perform basic API testing and data validation. Generate test reports and provide feedback to the development team. Required Skills: Basic knowledge of automation tools such as Selenium, TestNG, JUnit, Postman, or Cypress . Familiarity with programming/scripting languages like Java, Python, or JavaScript . Understanding of SDLC and STLC processes. Exposure to manual testing and creating test cases. Good understanding of bug tracking tools (e.g., JIRA, Bugzilla). Strong attention to detail and problem-solving skills. Good written and verbal communication skills. Preferred Skills (Optional): Knowledge of API testing tools like Postman or RestAssured . Familiarity with CI/CD tools such as Jenkins or Git. Exposure to Agile/Scrum methodologies. Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field. 6 months to 1 year of experience (internship/training experience will also be considered). Passion for software quality and eagerness to learn automation tools and frameworks. Job Type: Full-time Pay: ₹10,000.00 - ₹15,000.00 per month Work Location: In person Speak with the employer +91 8979354538

Job Summary : We are seeking a Senior Quality Analyst with in-depth experience in testing software products —both web and mobile applications. The ideal candidate will have a strong command over manual and automation testing , excellent attention to detail, and the ability to work closely with development and product teams in a night shift environment. This role requires proficiency in identifying bugs, optimizing performance, and ensuring product quality across releases. Key Responsibilities : Analyze product requirements and define detailed test strategies , plans , and cases Execute manual testing across web and mobile applications (Android/iOS) Design and maintain automated test scripts using tools such as Selenium, Cypress, or Playwright Conduct API testing with tools like Postman , Swagger , or similar platforms Perform regression, sanity, smoke, and performance testing to ensure optimal product reliability Log, track, and manage bugs using JIRA , Bugzilla , or other defect management tools Collaborate with cross-functional teams (Product, Development, DevOps, UX) to ensure timely and high-quality releases Participate in Agile/Scrum ceremonies and contribute to sprint-level QA planning Conduct UAT coordination , client communication , and assist in product launches when required Monitor test coverage, and maintain all QA documentation and quality metrics Stay up-to-date with testing tools, techniques, and emerging QA trends Required Experience & Qualifications : Bachelor's or Master's degree in Computer Science, IT , or a related field (B.Tech, BCA, MCA, M.Sc IT, etc.) 3–5 years of experience in software product testing , both web and mobile Strong knowledge of QA methodologies , SDLC , and STLC Proficiency in manual testing , API testing , and automation scripting Hands-on experience with testing tools like Selenium , Postman , JIRA , etc. Familiarity with performance and load testing tools (e.g., JMeter, LoadRunner) is a plus Excellent communication skills and a proactive approach to issue resolution Comfortable working in night shifts and coordinating with US-based teams Job Type: Full-time Pay: ₹400,000.00 - ₹800,000.00 per year Benefits: Paid sick time Provident Fund Schedule: Day shift Monday to Friday Night shift Experience: Software testing: 4 years (Required) Location: Sohana, Mohali, Punjab (Required) Work Location: In person