3440 Versioning Jobs - Page 31

Responsibilities Design overall architecture of the web application. Work with UI designers, business users and other team members to develop web applications Define, develop and develop APIs Integrations with partner APIs and, Database Management Maintain quality and ensure responsiveness of applications Collaborate with the rest of the engineering team to design and launch new features. Maintain code integrity and organization Work closely with graphic designers. Understand and implement security and data protection Development experience for both mobile and desktop. Experience on dockers and Skills and Experience : Minimum 5+ years of development experience Proficient in JAVA with Spring Boot framework Proficient using relational databases such as MySQL Experience with cloud message APIs, REST APIs and usage of push notifications. Knowledge of code versioning tools such as Git, Mercurial or SVN Good understanding of collaboration tools Should be comfortable with Agile methodology and using Agile tools Good verbal and written communication skills Good problem-solving : BTech, BE, MCA or : Mumbai (ref:hirist.tech)

Responsibilities Create frontend applications using modern frameworks React / Nextjs Work with UI designers, business users and other team members to develop frontend applications Work on API Integrations, authentication & session management, store management and end-to-end encryption technologies among others Maintain quality and ensure responsiveness of applications Collaborate with the rest of the engineering team to launch new features. Maintain code integrity and organization Work closely with graphic designers. Understand and implement security and data protection Development experience for both mobile and desktop. Technical Skills And Experience Minimum 3+ years Proficient in Javascript and frontend frameworks - preferably Nextjs Efficient in implementing the UI interactions from designs prototypes Experience with cloud message APIs, REST APIs and usage of push notifications. Knowledge of code versioning tools such as Git Knowledge of component driven development and implementation of DRY principles Experience working on projects from scratch is a plus Good understanding of collaboration tools Should be comfortable with Agile methodology and using Agile tools Good verbal and written communication skills Good problem-solving skills Location : Mumbai (ref:hirist.tech)

Responsibilities Programming and Development Skills Solid knowledge of modern programming languages, especially Kotlin, Java, JavaScript/TypeScript Development of backend and app applications with Spring Boot and Kotlin Experience in app development on Android with Kotlin & Jetpack Compose Experience in hybrid app development with Ionic on Android & iOS Software Engineering Best Practices In-depth understanding of software architecture principles Confident use of design patterns and the avoidance of anti-patterns Applied principles of clean code and clean architecture Code documentation both inline and in external systems (e.g., Confluence) Interfaces and Subsystems Design and implementation of clearly structured, maintainable interfaces (REST, RPC, possibly GraphQL) Responsible for entire subsystems (e.g., authentication including social login) Experience with API design, versioning, and interface testing Domain Understanding High interest and deep Understanding of the respective technical domain Ability to understand business processes and implement them in software solutions Infrastructure knowledge: Understanding of deployment mechanisms, logging, monitoring, and performance tuning Very good knowledge of Google Cloud Quality assurance and reviews Conducting code reviews, especially for complex tasks Focus on maintainability, testability, and code comprehensibility Supporting refactoring measures and technical development Tools & methods IDE & tools: IntelliJ IDEA, Git, Maven Documentation & collaboration: Confluence, JIRA Processes & methods: Scrum, Kanban, CI/CD Test frameworks: JUnit, MockK, test containers DevOps/Build: Experience with pipelines, Docker, and possibly Kubernetes (advantageous) Desired Candidate Profile Development and maintenance of features and subsystems (e.g. Authentication system) Ensuring quality through code reviews and technical documentation Contributing to the design of architecture and technical roadmaps Supporting the selection of suitable technologies and tools Back

Requisition ID: 99964-0 Software QA Analyst 2 Duties of Position: (Include specific duties and responsibilities) We're looking for a self-motivated, creative, and proactive individual who thrives in a fast-paced environment. Candidate navigate diverse automation testing technologies and complex application architectures, collaborating closely with global teams, developers, and project managers throughout the SDLC. Your responsibilities will span the entire QA lifecycle, from crafting and reviewing test cases to executing iterations, meticulously tracking and reporting results, troubleshooting issues, and coordinating defect resolution. A strong desire to explore AI tools and embrace new manual and automated testing techniques, coupled with a deep understanding of SDLC processes and QA methodologies, is essential. Qualifications Required: (Education, experience, skills, etc. Please be specific) Professional Degree/Engineering – MCA, M Sc(Comp),BE (IT, ECE, Comp..) 3 to 5 years experience in Manual Testing & Exposure in Automation testing Expertise in Selenium (IDE/WebDriver/Grid) for web application automation. Strong knowledge in designing and developing custom automation frameworks (Web and API). Proficiency with TestNG (or similar testing frameworks like JUnit, Pytest) for test execution and reporting. Solid understanding and experience with Maven POM for build automation and dependency management. Hands-on experience with API automation using tools/libraries like RestAssured, HTTPClient, or similar. Proven experience with performance testing tools like JMeter for load and performance analysis, including custom script creation and report handling. Strong exposure to source code maintenance and versioning tools like GIT. Familiarity with CI/CD concepts and experience integrating automation into continuous integration pipelines. Excellent analytical and problem-solving skills with meticulous attention to detail. Strong communication, collaboration, and interpersonal skills. Ability to work independently and as part of a cross-functional team. Apply Back to results

Job Description Software QA Analyst 2 Duties of Position: (Include specific duties and responsibilities) We're looking for a self-motivated, creative, and proactive individual who thrives in a fast-paced environment. Candidate navigate diverse automation testing technologies and complex application architectures, collaborating closely with global teams, developers, and project managers throughout the SDLC. Your responsibilities will span the entire QA lifecycle, from crafting and reviewing test cases to executing iterations, meticulously tracking and reporting results, troubleshooting issues, and coordinating defect resolution. A strong desire to explore AI tools and embrace new manual and automated testing techniques, coupled with a deep understanding of SDLC processes and QA methodologies, is essential. Qualifications Required: (Education, experience, skills, etc. Please be specific) Professional Degree/Engineering – MCA, M Sc(Comp),BE (IT, ECE, Comp..) 3 to 5 years experience in Manual Testing & Exposure in Automation testing Expertise in Selenium (IDE/WebDriver/Grid) for web application automation. Strong knowledge in designing and developing custom automation frameworks (Web and API). Proficiency with TestNG (or similar testing frameworks like JUnit, Pytest) for test execution and reporting. Solid understanding and experience with Maven POM for build automation and dependency management. Hands-on experience with API automation using tools/libraries like RestAssured, HTTPClient, or similar. Proven experience with performance testing tools like JMeter for load and performance analysis, including custom script creation and report handling. Strong exposure to source code maintenance and versioning tools like GIT. Familiarity with CI/CD concepts and experience integrating automation into continuous integration pipelines. Excellent analytical and problem-solving skills with meticulous attention to detail. Strong communication, collaboration, and interpersonal skills. Ability to work independently and as part of a cross-functional team.

About The Role Applied AI is a horizontal AI team at Uber collaborating with business units across the company to deliver cutting-edge AI solutions for core business problems. We work closely with engineering, product and data science teams to understand key business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Generative AI, Computer Vision, and Personalization. We are looking for a strong Senior ML engineer to be a part of a high-impact team at the intersection of classical machine learning, generative AI, and ML infrastructure. In this role, you'll be responsible for delivering Uber's next wave of intelligent experiences by building ML solutions that power core user and business-facing products. What You'll Do Solve business-critical problems using a mix of classical ML, deep learning, and generative AI. Collaborate with product, science, and engineering teams to execute on the technical vision and roadmap for Applied AI initiatives. Deliver high-quality, production-ready ML systems and infrastructure, from experimentation through deployment and monitoring. Adopt best practices in ML development lifecycle (e.g., data versioning, model training, evaluation, monitoring, responsible AI). Deliver enduring value in the form of software and model artifacts. BASIC QUALIFICATIONS Master or PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 2 years of Software Engineering work experience, or 5 years Software Engineering work experience. Experience in programming with a language such as Python, C, C++, Java, or Go. Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn. Experience with SQL and database systems such as Hive, Kafka, and Cassandra. Experience in the development, training, productionization and monitoring of ML solutions at scale. PREFERRED QUALIFICATIONS Prior experience working with generative AI (e.g., LLMs, diffusion models) and integrating such technologies into end-user products. Experience in modern deep learning architectures and probabilistic models. Machine Learning, Computer Science, Statistics, or a related field with research or applied focus on large-scale ML systems.

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, find digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, Agri finance, insurance, and many more industry segments. We invest in experienced people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com . Job Description Job description As part of the team building People Technology tools, you will contribute directly to shaping the digital experiences that power our HR lifecycle — from performance to engagement and beyond. As a Backend Engineer, you'll architect and maintain scalable, secure, and backend services that underpin our custom applications. While the main focus is backend development, your TypeScript skills will allow you to collaborate across the stack, influencing frontend integrations, APIs, and developer tooling. You'll help build modern engineering practices, accelerate delivery through pipelines, and build reliable infrastructure that scales with our missions. Develop backend services using TypeScript and JavaScript. Collaborate with frontend and platform teams to deliver end-to-end features. Create Docker containers and support Kubernetes-based deployments. Implement and maintain CI/CD pipelines, with Jenkins, to ensure streamlined deployment. Develop infrastructure using AWS services and ensure cost-effective, secure operations. Improve backend systems for performance and reliability, including legacy codebase debugging. Work with both relational and NoSQL databases (PostgreSQL and MongoDB) to design efficient data models and queries. Participate in code reviews, version control workflows (Git), and enforce coding best practices. Contribute to observability through logging and monitoring tools. Support integration and configuration of headless CMS platforms. You'll report to a Product Development Manager. Essential Required skills TypeScript & JavaScript​: backend experience, clean code principles (SOLID), unit testing, debugging legacy services .Docker & Containerization: Creating/managing Dockerfiles, container orchestration, Kubernetes familiarity .AWS: Proficiency with EC2, ECS, S3, IAM, deployment and scaling in cloud environments .Networking: understanding of TCP/IP, DNS, firewalls, load balancers in service architecture .Git: Advanced use of Git workflows, PRs, versioning, and conflict resolution .Databases: CRUD operations, indexing, and schema design with PostgreSQL and MongoDB .CI/CD: Jenkins familiarity, CI troubleshooting, test & deploy pipelines .Good To Hav eHeadless CMS: Experience with Directus, Strapi, or similar tools .OpenSearch/Elasticsearch: Indexing, health, and query optimization .Infrastructure as Code: Terraform-based environment setup and deployment .Observability: Prometheus, Grafana, ELK stack or similar tools for system monitoring .Collaborate across teams in sprint planning, technical design discussions, and retrospectives .Qualification sQualification s4+ years of backend development experience with emphasis on TypeScript .Demonstrated experience with containerized environments and modern CI/CD practices .Hands-on experience with AWS deployment and infrastructure scaling .Background in data-driven systems using PostgreSQL and NoSQL databases .Familiarity with DevOps practices, infrastructure automation, and monitoring tools .Additional Informatio nOur uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why .Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity .Experian Careers - Creating a better tomorrow togethe rBenefit sExperian care for employee's work life balance, health, safety and wellbeing. To support this endeavor, we offer the best family well-being benefits, enhanced medical benefits and paid time off .This is a hybrid remote/in-office role .Experian Careers - Creating a better tomorrow togethe rFind out what its like to work for Experian by clicking her e

Job title: Safety Data Sheets expert Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The Global M&S Services acts as a cornerstone to this effort. Our team is responsible for delivering and supporting M&S teams in the area of regulatory compliance, maintenance of product licenses and technical writing of CMC documents. The team members of the global M&S Services Hub will act as partners in carrying out tasks and fulfilling responsibilities to support quality activities with a focus on technical writing. Main Responsibilities Provision of strategic advice to the businesses with regards to regulatory compliance linked to substances (e.g. safety data sheets, classification, packaging & labelling, transport classification, local regulations). This includes monitoring of regulations. Act with efficiency with the Global Product Stewardship team. Edit and maintain Safety Data Sheets using our IT tools. Independent evaluation and validation of substance data for classification and labelling according to international regulations e.g., GHS/CLP, Seveso, and transport regulations. Documents all product stewardship information including references, reports to track and to justify any modification in the versioning of the documents used by Product Stewardship (SDSs, Hazard Classification Sheets & data). Conducting substance data searches and evaluating the results. Collecting, documenting and providing data in internal substance databases. Communicating effectively in a written and oral ways results & conclusions with contacts of sites and Business Units. About You Experience: 5+ years of industry experience including 2+ years’ experience in Product Stewardship. Soft skills: Be able to work effectively in a team and on your own initiative. Self-starter with the ability to perform under rapidly evolving contexts. Data-based decision maker and methodical in the analysis. Good coordination and communication skills. Ability to provide clear concise explanations. Have critical thinking, problem solving & planning skills. Able to work independently, team player and networker. Important sense for transversal impact. Ability to communicate effectively, orally and in writing. Technical skills: SDS-Writing - Certified competent person according to 18 (4) Hazard Substance Ordinance (Germany) Proficiency in SAP-EHS module is needed. Proven experience of interactions of SAP-EHS with SAP based ERP is needed. Proven experience of SERC – SAP EHS Regulatory Content (now 3E ERC EHS Regulatory Content) is needed. Certified IATA training for Dangerous Goods Transportation is needed. Proven knowledge on toxicological / pharma toxicological backgrounds would be a plus. Knowledge in the use of Artificial Intelligence for the use of designing SDSs would be a plus (e.g. tool from Opesus). Experience on Extended SDS would be a plus. Knowledge on Biocides and in biological agents would be a plus. Professional experience in the field of product safety/product stewardship, chemical laws, classification and labelling of hazardous substances. Experience in writing and reading Material Safety Data sheets. Education: Bachelor’s degree in science or Technical discipline at minimum. Languages: Verbal and written fluency in English Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave. Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Job title: Safety Data Sheets Manager Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The Global M&S Services acts as a cornerstone to this effort. Our team is responsible for delivering and supporting Global M&S teams in the area of regulatory compliance, maintenance of product licenses and technical writing of CMC documents. The team members of the global M&S Services Hub will act as partners in carrying out tasks and fulfilling responsibilities to support global quality activities with a focus on technical writing. Main Responsibilities Management of a team experts with purpose to improve the performance of management of Safety Data Sheets and specifications within SAP-EHS. As a manager, you are responsible for the process of managing Safety Data Sheets in due time to prevent occupational / environmental/ Process safety events which may lead to business interruption Provision of strategic advice to the businesses regarding regulatory compliance linked to substances (e.g. safety data sheets, classification, packaging & labelling, transport classification, local regulations). This includes monitoring of regulations Act with efficiency with the Global Product Stewardship team. Edit and maintain Safety Data Sheets using our IT tools. Independent evaluation and validation of substance data for classification and labelling according to international/local regulations e.g., GHS/CLP, Seveso, and transport regulations. Document all product stewardship information including references, reports to track and to justify evolutions in the versioning (SDSs, Hazard Classification Sheets & data), that support SDS decision. Conducting substance data searches and evaluating the results. Collecting, documenting and providing data in internal substance databases. Communicating effectively in a written and oral ways results & conclusions with contacts of sites and Business Units. About You Experience: 10+ years of industry experience including 5+ years’ experience in Product Stewardship. 2 years of experience to lead a group in the EHS field. Soft skills: Professional experience in the field of product safety/product stewardship, chemical laws, classification and labelling of hazardous substances. Experience in writing and reading Material Safety Data sheets. Ability to rank relative compliance risks, high sense of responsibility and compliance and prioritize resulting actions. Ability to keep abreast of compliance changes. Strong proficiency in common chemical regulations. Ability to provide clear concise explanations. Have critical thinking, problem solving & planning skills. Technical skills: Knowledge in national regulatory aspects according ECHA Guidance for the editing of SDSs. Proficiency in SAP-EHS module is needed. Proven experience of interactions of SAP-EHS with SAP based ERP is needed. Proven experience of SERC – SAP EHS Regulatory Content (now 3E ERC EHS Regulatory Content) is needed. Certified IATA training for Dangerous Goods Transportation is needed. Proven knowledge on toxicological / pharma toxicological backgrounds would be a plus. Knowledge in the use of Artificial Intelligence for the use of designing SDSs would be a plus (e.g. tool from Opesus). Experience on Extended SDS. Knowledge on Biocides would be a plus. Knowledge in biological agents / biosafety would be a plus. Education: Master’s degree in science or Technical discipline at minimum. Languages: Verbal and written fluency in English Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave. Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas. null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will be responsible to develop large and complex web applications architecture, composed of components, standards that govern which how data is represented, arranged, integrated and used by users, including the design, build and documents to address business requirements You will be responsible Create sound project plans with the business by engaging with multidisciplinary teams, and by identifying, managing and mitigating risk You will be responsible to develop relationships across the business to understand data requirements, applies deep technical knowledge of data management to solve business problems in areas where solutions may not currently exist, necessitating new solutions / ways of working / technologies and proactively articulating these to the business Your Key Responsibilities Provides innovative and practical designs for the design and integration of new data architecture for the enterprise, applying advanced technical capabilities Building reusable components and front-end libraries for future use. Guide others in resolving complex issues in data architecture and solves complex, escalated aspects of a project Translating designs and wireframes into high quality code. Monitors the progress and the quality of the project. Reviews and develops due diligence to confirm the developed solution complies with architectural design Maintaining software through product lifecycle including design, development, verification, and bug fixes. Optimizing components for maximum performance across a vast array of web-capable devices and browsers. Skills And Attributes For Success Experience designing and conducting research and experiments with recently developed technologies UI Architecture and Design Capability to define the standards for UI design and development Building highly scalable products Capability to identify software packages and solutions that could meet client solution requirements and develop requests for proposal (RFP’s) from these vendors. Assist clients in the evaluation of the resulting proposals, including the package capabilities and fit to the requirements (business and technology), vendor proposals for pricing and support. To qualify for the role, you must have Experience with ReactJS with 2 + years of production development Excellent in JavaScript with 6+ years of development. 4+ years in Web development UI/UX and architecture skills JSON, REST and Web Services awareness. Awareness of Protractor, Karma, Jasmine or other testing tools. Thorough understanding of React JS and its core principles Familiarity with RESTful APIs Good knowledge in JavaScript OOPs concept. Strong in Problem solving approach Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React JS and its core principles and experience with popular React JS workflows such as Flux or Redux Strong command over HTML5, CSS3 and responsive web designing Knowledge of modern authorization mechanisms, such as JSON Web Token Experience with common front-end development tools such as Webpack, NPM, etc. Ability to understand business requirements and translate them into technical requirements Testing and the ability to write unit test scripts/specs (Karma, Jasmine) Familiarity with code versioning tools and DevOps Excellent problem-solving skills. Ideally, you’ll also have Angular2+ Experience in Redux AWS/Azure or any cloud exposure SSO, LDAP, OAuth, SSL integration exposure Experience in emerging technologies such as IoT, AI/ML etc. What We Look For Has successfully demonstrated domain of most skills and technologies during a large number of relevant projects Strong experience in the use of complex technologies Proven experience in delivering effective data architecture strategies Confidently uses most of the related skills and technologies, and maintains an in-depth knowledge of the area Confidently uses most of the related skills and technologies, and maintains an in-depth knowledge of the area Experience designing and conducting research and experiments with recently developed technologies What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Title: Prompt Engineer Location: Fully Remote Rate: $8.00 - $12.00 USD per hour based on experience Schedule: Monday to Friday, Eastern Standard Time Job Type: Full-Time About Us: AbroadWorks is a fast growing global enterprise with established operations in the United States, India, and the Philippines. We specialize in providing both service-based solutions and advanced tech to help North American organizations in finding, onboarding, and managing global talent easily. Our Offerings: Global Staffing Services: Currently, the majority of our revenue is generated through our comprehensive global staffing services, which cater to the diverse needs of our clients. Technology Solutions: Looking ahead, our strategic focus is to expand our footprint in the software sector, leveraging our technology to improve global human capital and talent management processes. Job Description: We are looking for a highly analytical and creative Prompt Engineer to support our AI and automation initiatives. This role requires strong language intuition, logical reasoning, and the ability to design, test, and optimize prompts that maximize the performance and accuracy of large language models (LLMs) such as ChatGPT. You will play a critical role in building high-quality prompt libraries, testing output consistency, and supporting internal and client-facing AI applications. Requirements: Must have at least a year of experience as a Prompt Engineer or similar role. At least 1–3 years of experience in a related role (e.g., content strategy, technical writing, NLP, product development, or research) Exceptional written communication skills and fluency in English Strong analytical thinking and pattern recognition Familiarity with LLMs and AI tools such as OpenAI's ChatGPT, Claude, Bard, etc. Experience using prompt frameworks or AI integrations (e.g., Zapier, Make, LangChain, Python scripting for prompts, etc.) is a strong advantage Comfortable working independently in a remote, asynchronous team environment Organized, detail-oriented, and able to document and track iterations systematically Preferred Qualifications: ​Experience with prompt versioning and performance analysis Exposure to or interest in product design, human-computer interaction, or machine learning concepts Prior experience in UX writing, copywriting, technical documentation, or conversational design Basic coding or scripting skills (Python, JavaScript, etc.) Key Responsibilities: Design, write, and iterate on effective prompts for a variety of use cases including content generation, summarization, classification, automation, and data extraction Collaborate with product, data, and engineering teams to understand user requirements and design prompt workflows that meet them Evaluate AI model outputs for accuracy, relevance, tone, and consistency Conduct prompt A/B testing and fine-tune prompts for better outcomes Maintain a prompt knowledge base and contribute to scalable prompt engineering strategies Stay current with advancements in prompt engineering, LLM capabilities, and generative AI tools Assist in training internal teams or clients on using LLMs effectively through prompt guidance Create documentation and best practices for internal and external use Successful candidates for this role are expected to possess the following attributes: ​M ust have excellent English communication skills.H as the ability to complete projects in a timely manner and quickly adjust to changing circumstances and embrace new technologies, processes, or methods.G reat logical and verbal reasoning skills.E xceptionally detail-oriented.E xceptional problem-solving and information-processing skills.A bility to think outside the box.A great work ethic and interest in learning new concepts and growing with the job.A bility to work both independently and as part of a team.M ust have their own work device (preferably a desktop or laptop) and a stable internet connection.M ust be comfortable with using a time-tracking software for payroll purposes. S uccessful candidates for this role will be rewarded with the following benefits:A total of five paid vacation days per year (additional days can be taken unpaid).A 5% raise per year guaranteed (additional raises or bonuses may be given for outstanding performance).A paid 15-minute break for every 4 hours of work * Vacation days increase by 1 vacation day per year. I.e. after one year of work, the total paid vacation days on year 2 would be six, on year 3 seven, etc. O ur main focus is to build an energized and motivated workforce where our AbroadWorkers are happy and satisfied with their jobs and growth opportunities. W e are looking forward to making you a part of our team! T hank you for your time and interest.

About the Project We are seeking a highly skilled and pragmatic AI/ML Engineer to join the team building "a Stealth Prop-tech startup," a groundbreaking digital real estate platform in Dubai. This is a complex initiative to build a comprehensive ecosystem integrating long-term sales, short-term stays, and advanced technologies including AI/ML, data analytics, Web3/blockchain, and conversational AI. You will be responsible for operationalizing the machine learning models that power our most innovative features, ensuring they are scalable, reliable, and performant. This is a crucial engineering role in a high-impact project, offering the chance to build the production infrastructure for cutting-edge AI in the PropTech space. Job Summary As an AI/ML Engineer, you will bridge the gap between data science and software engineering. You will be responsible for taking the models developed by our data scientists and deploying them into our production environment. Your work will involve building robust data pipelines, creating scalable training and inference systems, and developing the MLOps infrastructure to monitor and maintain our models. You will collaborate closely with data scientists, backend developers, and product managers to ensure our AI-driven features are delivered efficiently and reliably to our users. Key Responsibilities Design, build, and maintain scalable infrastructure for training and deploying machine learning models at scale. Operationalize ML models, including the "TruValue UAE" AVM and the property recommendation engine, by creating robust, low-latency APIs for production use. Develop and manage data pipelines (ETL) to feed our machine learning models with clean, reliable data for both training and real-time inference. Implement and manage the MLOps lifecycle, including CI/CD for models, versioning, monitoring for model drift, and automated retraining. Optimize the performance of machine learning models for speed and cost-efficiency in a cloud environment. Collaborate with backend engineers to seamlessly integrate ML services with the core platform architecture. Work with data scientists to understand model requirements and provide engineering expertise to improve model efficacy and feasibility. Build the technical backend for the AI-powered chatbot, integrating it with NLP services and the core platform data. Required Skills and Experience 3-5+ years of experience in a Software Engineering, Machine Learning Engineering, or related role. A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. Strong software engineering fundamentals with expert proficiency in Python. Proven experience deploying machine learning models into a production environment on a major cloud platform (AWS, Google Cloud, or Azure). Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience building and managing data pipelines using tools like Apache Airflow, Kubeflow Pipelines, or cloud-native solutions. Collaborate with cross-functional teams to integrate AI solutions into products. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker) and orchestration (Kubernetes). Preferred Qualifications Experience in the PropTech (Property Technology) or FinTech sectors is highly desirable. Direct experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, AWS SageMaker, Google AI Platform). Familiarity with big data technologies (e.g., Spark, BigQuery, Redshift). Experience building real-time machine learning inference systems. Strong understanding of microservices architecture. Experience working in a collaborative environment with data scientists.

Responsibilities Code Corners is on the lookout for a skilled developer with extensive experience in Shopify. We are looking for someone with impeccable programming skills in Shopify, PHP, and JS, along with an impressive aesthetic sense. The candidate should have a strong understanding of the industry trends, different content management systems, and the entire web development process, which also involves knowledge of design, development, and deployment. Act as a Shopify expert, specializing in all facets of the eCommerce platform. Requirements Strong hands-on experience installing and customizing Shopify themes. Expert-level understanding of Shopify's code structure (Themes, Apps, Integrations, etc. ). Hands-on experience in Shopify Customization, Shopify app integration, and Shopify theme integration. Should be well acquainted with the process of theme submission on Shopify. Experience generating custom-tailored Shopify themes and altering pre-existing templates. Proficient with Shopify Liquid, jQuery, CSS, HTML, JS. Should be well acquainted with the coding standards of Shopify while developing Themes or any feature integration. Proficient understanding of code versioning tools, GIT/ SVN. Strong in-person and client communication skills. Ability to handle projects independently. Knowledge in other eCommerce platforms like WooCommerce and BigCommerce is a BIG plus. This job was posted by Code Corners Hr from Code Corners.

Job description Position Purpose We are looking for a great and proficient React developer. Your primary focus will be on developing user interfaces (UIs) and UI components and implementing them. You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important. Responsibilities Developing new user-facing features using React Building reusable components and front-end libraries for future use Translating designs and wireframes into high quality code Optimizing components for maximum performance across a vast array of web-capable devices and browsers Experience More than 5 years of experience in react development Already work on several front-end projects in autonomy Already work in offshoring context Technical & Behavioral Competencies Skills Development methodologies: Agile / Code First / API Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Strong knowledge in TypeScript Thorough understanding of React and its core principles Experience with popular React workflows (such as Flux or Redux) Familiarity with designs and wireframes specifications (Figma) Experience with data structure libraries Familiarity with RESTful APIs Knowledge of modern authorization mechanisms, such as JSON Web Token Familiarity with modern front-end build pipelines and tools Experience with common front-end development tools such as NPM, etc. Ability to understand business requirements and translate them into technical requirements A knack for benchmarking and optimization Familiarity with code versioning tools (Git) Knowledge of .Net Core / C# is a plus Knowledge of Hangfire is a plus

Role Overview As a Video Editor, you’ll own end-to-end video creation — turning raw footage into high-converting, platform-native content. You’ll collaborate across marketing, creative, and product teams to craft videos that drive performance, elevate brand, and scale quickly. This role demands speed, storytelling instinct, and a bias for outcomes over output. 6 days working (Mon-Fri : WFO | Sat : WFH) Languages Required: English (Mandatory) + any one of the following: Marathi / Kannada / Telugu Budget : 5-7lpa Key Responsibilities Editing & Storytelling Edit brand films, ad creatives, testimonials, and UGC with clarity, pace, and emotional pull. Shape narratives that hook early, retain attention, and drive action. Adapt edits for different platforms (Meta, YouTube, TikTok, etc) Performance-Driven Iteration Repurpose content for A/B tests; apply learnings from performance data. Align creative choices with what’s converting — not just what looks good. Brand & Workflow Excellence Maintain brand consistency and visual standards. Work fast, manage feedback loops, and hit deadlines with minimal over sight. Keep projects organized with clear versioning and handoffs Qualifications 3–5 years’ editing experience; expert in Premiere Pro (After Effects a plus) Strong narrative sense and visual aesthetic. Experience with D2C, UGC, or performance-led content Comfortable with fast-paced, feedback-heavy environments

Job Title: AI Lead – Generative AI & ML Systems Key Responsibilities Generative AI Development Design and implement LLM-powered solutions and generative AI models for use cases such as predictive analytics, automation workflows, anomaly detection, and intelligent systems. · RAG & LLM Applications Build and deploy Retrieval-Augmented Generation (RAG) pipelines, structured generation systems, and chat-based assistants tailored to business operations. Full AI Lifecycle Management Lead the complete AI lifecycle—from data ingestion and preprocessing to model design, training, testing, deployment, and continuous monitoring. · Optimization & Scalability Develop high-performance AI/LLM inference pipelines, applying techniques like quantization, pruning, batching, and model distillation to support real-time and memory-constrained environments. MLOps & CI/CD Automation Automate training and deployment workflows using Terraform, GitLab CI, GitHub Actions, or Jenkins, integrating model versioning, drift detection, and compliance monitoring. Cloud & Deployment Deploy and manage AI solutions using AWS, Azure, or GCP with containerization tools like Docker and Kubernetes. AI Governance & Compliance Ensure model/data governance and adherence to regulatory and ethical standards in production AI deployments. Stakeholder Collaboration Work cross-functionally with product managers, data scientists, and engineering teams to align AI outputs with real-world business goals. Required Skills & Qualifications Bachelor’s degree (B.Tech or higher) in Computer Science, IT, or a related field is required. 8-12 Year exp- from the Ai team with overall experience in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) solution development. Minimum 2+ years of hands-on experience in Generative AI and LLM-based solutions, including prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG) pipelines with full CI/CD integration, monitoring, and observability pipelines, with 100% independent contribution. Proven expertise in both open-source and proprietary Large Language Models (LLMs), including LLaMA, Mistral, Qwen, GPT, Claude, and BERT. Expertise in C/C++ & Python programming with relevant ML/DL libraries including TensorFlow, PyTorch, and Hugging Face Transformers. Experience deploying scalable AI systems in containerized environments using Docker and Kubernetes. Deep understanding of the MLOps/LLMOps lifecycle, including model versioning, deployment automation, performance monitoring, and drift detection. Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) and DevOps for ML workflows. Working knowledge of Infrastructure-as-Code (IaC) tools like Terraform for cloud resource provisioning and reproducible ML pipelines. Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Designed and documented High-Level Design (HLD) and Low-Level Design (LLD) for ML/GenAI systems, covering data pipelines, model serving, vector search, and observability layers. Documentation included component diagrams, network architecture, CI/CD workflows, and tabulated system designs. Provisioned and managed ML infrastructure using Terraform, including compute clusters, vector databases, and LLM inference endpoints across AWS, GCP, and Azure. Experience beyond notebooks: shipped models with logging, tracing, rollback mechanisms, and cost control strategies. Hands-on ownership of production-grade LLM workflows, not limited to experimentation. Full CI/CD integration, monitoring, and observability pipelines, with 100% independent contribution. Preferred Qualifications (Good To Have) Experience with LangChain, LlamaIndex, AutoGen, CrewAI, OpenAI APIs, or building modular LLM agent workflows. Exposure to multi-agent orchestration, tool-augmented reasoning, or Autonomous AI agents and agentic communication patterns with orchestration. Experience deploying ML/GenAI systems in regulated environments, with established governance, compliance, and Responsible AI frameworks. Familiarity with AWS data and machine learning services, including Amazon SageMaker, AWS Bedrock, ECS/EKS, and AWS Glue, for building scalable, secure data pipelines and deploying end-to-end AI/ML workflows.

Job Description At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will step up and take responsibility to create cutting-edge AI solutions that empower our business while mentoring others and fostering a culture of collaboration and growth. As the sparring partner for your product owners and your Chapter lead, your job is to shape the technical roadmap and contribute to the implementation of best practices both in the product team (“Pod”) you work in and the global Chapter of ML Engineers. You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. What you will do Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. Research and Development: Effective RAG architectures and technologies for organizing complex domain-specific data (e.g. vector databases, knowledge graphs) and effective knowledge extraction Explore and benchmark state-of-the-art LLMs, tuning, adaptation, and training for performance and cost efficiency. Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization. Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts. Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes. Define and own the ML-Ops for your Pod. Experimentation and Continuous Improvement: Develop experiments for model evaluation and improvement, keeping the solutions aligned with evolving industry standards. Best Practices: Establish scalable coding standards and best practices for maintainable and production-ready systems. Team Support: Mentor ML engineers to foster their personal growth. Qualifications How you will succeed in your role We’re looking for someone who is excited to make an impact and grow with us. While not everyone will have all the qualifications listed, you might be a great fit if you bring some of the following. We’re working with every team member individually to grow according to their needs and abilities. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum 5 years of experience implementing machine learning projects. At least 2 years in a senior or lead role. Demonstrated expertise integrating modern LLMs into production systems. Leadership skills: Proven leadership in driving technical projects to successful completion in agile environments Strong communication skills to align technical solutions with business goals. Ability to mentor and foster innovation within the team. Technology Skills: LLM and RAG Expertise: Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases. Transformer and LLM Architectures: In-depth experience with modern Transformer-based LLMs (e.g., GPT-4, Claude, Gemini, Llama, Falcon, Mistral) Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (e.g. Docker, Kubernetes) and workflow management tools (e.g. Azure ML Studio, MLFlow) Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Intelligence: Document Processing and knowledge extraction tools Databases: Experience with relational (SQL), NoSQL databases Data Platforms: Familiarity with platforms like Snowflake or Databricks Additional Information What defines us : Curiosity, Optimism, Ambition, Empathy Our team at Ramboll Tech is currently on a steep growth trajectory while maintaining a strong team culture. We are curious about other people and their motivations; about new business models and technologies; about each other and the future. We are optimistic, focusing on solutions rather than problems; we plan for success and are willing to take calculated risks instead of playing it safe. We are ambitious, setting our own standards higher than others’ expectations, and we celebrate each other's successes. We are empathetic, taking ourselves, others, and each other seriously without prejudgment, and we help each other and our clients, colleagues, and the world. How we work as a team Our team culture is crucial to us; that's why we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another. We value diversity, and although we're not perfect, we regularly engage in open discussions about how we can improve in this area. Our current hybrid work approach focuses on adapting to different needs, including increased flexibility that works best for teams and individuals, with as much autonomy as possible. We also meet up in person regularly, such as twice a year at our offsite or during team dinners. Who is Ramboll? Ramboll is a global architecture, engineering, and consultancy firm. We believe sustainable change's aim is to create a livable world where people thrive in healthy nature. Our strength is our employees, and our history is rooted in a clear vision of how a responsible company should act. Openness and curiosity are cornerstones of our corporate culture, fostering an inclusive mindset that seeks new, diverse, and innovative perspectives. We respect and welcome all forms of diversity and focus on creating an inclusive environment where everyone can thrive and reach their full potential. And what does Ramboll Tech do? Ramboll Tech accelerates innovation and digital transformation for the entire Ramboll group and directs all AI-related initiatives within the company. This includes collaborating with markets at Ramboll on their AI projects, as well as working on larger change processes within the corporation and developing proprietary AI products for Ramboll and our clients. Our team currently has over 300 employees from Denmark, Germany, the USA, and India. We are looking to quickly expand in key areas across Europe and the globe. Equality, Diversity, and Inclusion Equality, diversity, and inclusion are at the heart of what we do. At Ramboll, we believe that diversity is a strength and that different experiences and perspectives are essential to creating truly sustainable societies. We are committed to providing an inclusive and supportive work environment where everyone is able to flourish and reach their potential. We also know how important it is to achieve the right balance of where, when, and how much you work. At Ramboll, we offer flexibility as part of our positive and inclusive approach to work. We invite applications from candidates of all backgrounds and characteristics. Please let us know if there are any changes, we could make to the application process to make it more comfortable for you. You can contact us at job.advert.accessibility@ramboll.com with such requests. Important information We do require a cover letter together with your current CV (preferably without a photo) through our application tool, and we're eager to get to know you better in a conversation. Do you have any questions? Feel free to contact the hiring team through our recruitment tool.

Required skills: Core PHP, Mysql, Laravel framework, HTML, CSS, Bootstrap, Javascript, AJAX, JQuery Experience : 4 years - 7 years (1 year in Laravel framework is must) Qualification : B.Tech/B.E, MCA in Any Specialization Shift Timing: 7 AM to 4:30 PM (Work From Office) Location : Gurgaon, sector 48 Roles and responsibilities: · Integration of user-facing elements developed by front-end developers · Build efficient, testable, and reusable PHP modules · Solve complex performance problems and architectural challenges · Good command over Data Structures & Algorithms · The ability to produce bug-free and production-grade code · Skills we consider PHP, Laravel, JavaScript, Bootstrap, HTML, CSS, MYSQL/MongoDB, Source code management (GitHub/Bit bucket). · To Develop Enterprise Applications using PHP, Laravel, MYSQL. · Planning, designing of Web Applications · Interaction with Clients · Quality & Timely Delivery · Helping Team Members on Technical issues · Knowledge of Frameworks · Should have good knowledge on CRM and API Integration. Required Candidate profile:- · Understanding the fully synchronous of PHP · Understanding of MVC design patterns · Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 · Knowledge of object oriented PHP programming · Extensive experience in development using PHP, Laravel, MySQL, and JavaScript · Creating database schemas that represent and support business processes · Familiarity with SQL/MYSQL databases and their declarative query languages · Proficient understanding of code versioning tools, such as Git . Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Paid sick time Application Question(s): What is you Current CTC? What is your Notice Period? Education: Bachelor's (Preferred) Experience: Full-stack development: 4 years (Required) Laravel: 4 years (Required) Work Location: In person

Role Description Role Proficiency: Interprets data and analyses results using statistical techniques under supervision Outcomes Complies and assist in mining and acquiring data from primary and secondary sources; reorganizing the data in a format that can be easily read by either a machine or a person Assist in identifying analyzing and interpreting trends or patterns in data sets' generating insights and helping clients make better decisions. Conducts research on specific data sets to enable the senior analysts in their work Assist in managing master data including creation updates and deletions. Help developing reports and analysis that effectively communicate trends patterns and predictions using relevant data. Provide support with technical writing and editing as required Develop analytics to identify trend lines across several data sources within the organization Assists senior analysts in examining and evaluate existing business processes and systems and offer suggestion for changes Set FAST goals Measures Of Outcomes Schedule adherence on tasks Quality – errors in data presentation and interpretation Number of business processes changes highlighted due to vital analysis. Number of stakeholder appreciations/escalations Number of customer appreciations No: of mandatory trainings completed Outputs Expected Data Mining: Acquiring data from various sources Reorganizing/Filtering Data Consider only relevant data from the mined data and convert it into a format which is consistent and analysable. Analysis Use statistical methods to analyse data and generate useful results. Create Data Models Use data to create models that depicts trends in the customer base and the consumer population as a whole Create Reports Create reports depicting the trends and behaviours from the analysed data Document Create documentation for own work as well as perform peer review of documentation of others' work Manage Knowledge Consume and contribute to project related documents share point libraries and client universities Status Reporting Report status of tasks assigned Comply with project related reporting standards/process Code Create efficient and reusable code. Follows coding best practices. Code Versioning Organize and manage the changes and revisions to code. Use a version control tool like git bitbucket etc. Quality Provide quality assurance of imported data working with quality assurance analyst if necessary. Performance Management Set FAST Goals and seek feedback from supervisor Skill Examples Analytical Skills: Ability to work with large amounts of data: facts figures and number crunching. Communication Skills: Ability to present findings or translate the data into understandable documents Critical Thinking: Ability to look at the numbers trends and data; coming up with new conclusions based on the findings. Attention to Detail: Making sure to be vigilant in the analysis; coming up with accurate conclusions. Quantitative skills - knowledge of statistical methods and data analysis software Research skills: It is essential that applicants can undertake in-depth research quantify the information and produce qualitative and quantitative reports. Mathematical Skills to estimate numerical data. Work in a team environment Proactively ask for and offer help Knowledge Examples Knowledge Examples Proficient in mathematics and calculations. Spreadsheet tools such as Microsoft Excel or Google Sheets knowledge of Tableau or PowerBI SQL Python DBMS Operating Systems and software platforms Knowledge about customer domain and also sub domain where problem is solved Code version control e.g. git bitbucket etc. Additional Comments This SO is for replacement of Tarique Nomani Skills Python,Machine Learning,Semantic Search

India - Hyderabad JOB ID: R-218107 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jul. 08, 2025 CATEGORY: Engineering ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The Principal Platform Architect – MuleSoft is responsible for leading the strategic design, implementation, and governance of scalable integration solutions using the MuleSoft Anypoint Platform. This role involves defining the integration architecture vision, creating implementation roadmaps, and ensuring alignment with enterprise integration and API standards. You will provide technical leadership and mentorship to the MuleSoft Platform team, ensuring high-quality design and delivery of integration capabilities. The Architect will collaborate with senior Technology leadership and cross-functional stakeholders to build a robust, reusable, and innovative API ecosystem. The role also includes oversight of platform governance and driving continuous improvement across integration practices and team performance. Roles & Responsibilities: Lead a team of MuleSoft Platform Architects, providing technical leadership, performance management, and career development Develop and maintain the Enterprise MuleSoft architecture vision and strategy, ensuring alignment with business objectives Create and maintain architectural roadmaps that guide the evolution of applications and capabilities Oversee delivery of reusable APIs, templates, connectors, and accelerators to speed project delivery and reduce technical debt. Establish and enforce architectural standards, policies, and governance frameworks Evaluate emerging technologies and assess their potential impact on the solution architecture Identify and mitigate architectural risks, ensuring that the MuleSoft ecosystem is scalable, secure, and resilient Define and enforce best practices around DevOps, CI/CD, automated testing, API versioning, security, and governance Drive platform adoption and maturity through onboarding, documentation, training, and evangelism Maintain comprehensive documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Work with stakeholders to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands Basic Qualifications and Experience: Master’s / Bachelor’s degree with 13-16 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills: Strong architectural design and modeling skills Extensive knowledge of enterprise architecture frameworks and methodologies Experience with system integration, IT infrastructure Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment Experience working in agile methodology, including Product Teams and Product Development models Strong solution design and problem-solving skills Integration Architect API Design: Ability to design and develop well-structured and documented APIs. Integration Patterns: Understanding of common integration patterns and their application. Integration Technologies: Familiarity with integration platforms, protocols, and standards (e.g., ESB, REST, SOAP), specifically MuleSoft. Data Mapping: Experience in mapping data between different systems and applications. Security: Understanding of API security best practices and standards. Good-to-Have Skills: Hands-on Linux administration and scripting skills (bash, shell, or Python) Familiarity with Amazon Web Services (AWS) networking and infrastructure, especially VPC design and security Experience in the pharmaceutical or life sciences industry with regulated data environments Agile delivery experience and proficiency with tools like JIRA, Confluence, and ServiceNow Professional Certifications Mulesoft Integration Architect I or Mulesoft Platform Architect I Certifications (required) Cloud certifications (AWS Certified Solutions Architect, DevOps Engineer, etc.) (required) Linux Administration or DevOps-related certifications a plus (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description Associate Specialist, Infrastructure Engineering, C&IT Autosys The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys’ IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview As an Associate Specialist, Infrastructure Engineering, C&IT Autosys, develop, and maintain software systems. This role involves both creative and analytical skills to solve complex problems and create efficient, reliable software. You will use your expertise in requirements analysis, programming languages, software development methodologies, and tools to build and deliver software products that meet the needs of businesses, organizations, or end-users. You will work with other engineers, product managers and delivery leads, to design systems, determine functional and non-functional needs and implement solutions accordingly. You should be ready to work independently as well as in a team. What will you do in this role Create and document detailed designs for custom software applications or components. Design, code, verify, test, document, amend and refactor moderately complex applications and software configurations for deployment in collaboration with cross-disciplinary teams across various regions worldwide. Identify alternative design options and seek guidance when deviating from established design patterns. Assist in developing and implementing data pipelines and data stores. Engage with the target user to prototype and refine specified UI. Design test cases and test scripts under own direction, mapping back to pre-determined criteria, recording and reporting test outcomes. Participate in requirement, design and specification reviews. Perform manual and automation testing. Elicit requirements for systems and software life cycle working practices and automation. Prepare design options for the working environment of methods, procedures, techniques, tools, and people. Utilize systems and software life cycle working practices for software components and micro-services. Deploy automation to achieve well-engineered and secure outcome. Possesses both theoretical and practical knowledge, with the ability to autonomously implement given tasks, including producing and deploying pieces of code. Work within a matrix organizational structure, reporting to both the functional manager and the project manager. Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals. What should you have Bachelors’ degree in Information Technology, Computer Science or any Technology stream or equivalent experience 2+ years of hands-on experience working OS (Linux), DB (SQL) or application support, command line scripting (bash or other scripting language) 2+ years Autosys operations Ansible playbook/script Automation development awarness Monitoring tools experience – Infrastructure Monitoring templates and SLOs Working with DevSecOps tools for deploying and versioning code. Familiarity with modern product development practices – Agile, Scrum, test driven development, UX, design thinking. Familiarity with DevOps practices (Git, Docker , infrastructure as code, observability, continuous integration/continuous deployment - CI/CD). Cloud-native, AWS Product and customer-centric approach. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who we are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What we look for Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Availability Management, Capacity Management, Change Controls, Configuration Management (CM), Design Applications, Incident Management, Information Technology (IT) Infrastructure, IT Service Management (ITSM), Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Administration, System Designs Preferred Skills: Job Posting End Date: 08/8/2025 A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID: R338950

Job title: Safety Data Sheets Manager Location: Hyderabad About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The Global M&S Services acts as a cornerstone to this effort. Our team is responsible for delivering and supporting Global M&S teams in the area of regulatory compliance, maintenance of product licenses and technical writing of CMC documents. The team members of the global M&S Services Hub will act as partners in carrying out tasks and fulfilling responsibilities to support global quality activities with a focus on technical writing. Main responsibilities: Management of a team experts with purpose to improve the performance of management of Safety Data Sheets and specifications within SAP-EHS. As a manager, you are responsible for the process of managing Safety Data Sheets in due time to prevent occupational / environmental/ Process safety events which may lead to business interruption Provision of strategic advice to the businesses regarding regulatory compliance linked to substances (e.g. safety data sheets, classification, packaging & labelling, transport classification, local regulations). This includes monitoring of regulations Act with efficiency with the Global Product Stewardship team. Edit and maintain Safety Data Sheets using our IT tools. Independent evaluation and validation of substance data for classification and labelling according to international/local regulations e.g., GHS/CLP, Seveso, and transport regulations. Document all product stewardship information including references, reports to track and to justify evolutions in the versioning (SDSs, Hazard Classification Sheets & data), that support SDS decision. Conducting substance data searches and evaluating the results. Collecting, documenting and providing data in internal substance databases. Communicating effectively in a written and oral ways results & conclusions with contacts of sites and Business Units. About you: Experience: 10+ years of industry experience including 5+ years’ experience in Product Stewardship. 2 years of experience to lead a group in the EHS field. Soft skills: Professional experience in the field of product safety/product stewardship, chemical laws, classification and labelling of hazardous substances. Experience in writing and reading Material Safety Data sheets. Ability to rank relative compliance risks, high sense of responsibility and compliance and prioritize resulting actions. Ability to keep abreast of compliance changes. Strong proficiency in common chemical regulations. Ability to provide clear concise explanations. Have critical thinking, problem solving & planning skills. Technical skills : Knowledge in national regulatory aspects according ECHA Guidance for the editing of SDSs. Proficiency in SAP-EHS module is needed. Proven experience of interactions of SAP-EHS with SAP based ERP is needed. Proven experience of SERC – SAP EHS Regulatory Content (now 3E ERC EHS Regulatory Content) is needed. Certified IATA training for Dangerous Goods Transportation is needed. Proven knowledge on toxicological / pharma toxicological backgrounds would be a plus. Knowledge in the use of Artificial Intelligence for the use of designing SDSs would be a plus (e.g. tool from Opesus). Experience on Extended SDS. Knowledge on Biocides would be a plus. Knowledge in biological agents / biosafety would be a plus. Education: Master’s degree in science or Technical discipline at minimum. Languages : Verbal and written fluency in English Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave. Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.

India - Hyderabad JOB ID: R-218849 ADDITIONAL LOCATIONS: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Jul. 08, 2025 CATEGORY: Information Systems ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: We are seeking an experienced MDM Engineer with 8–12 years of experience to lead development and operations of our Master Data Management (MDM) platforms, with hands-on experience in data engineering experience. This role will involve handling the backend data engineering solution within MDM team. This is a technical role that will require hands-on work. To succeed in this role, the candidate must have strong Data Engineering experience. Candidate must have experience on technologies like (SQL, Python, PySpark, Databricks, AWS, API Integrations etc). Roles & Responsibilities: Develop distributed data pipelines using PySpark on Databricks for ingesting, transforming, and publishing master data Write optimized SQL for large-scale data processing, including complex joins, window functions, and CTEs for MDM logic Implement match/merge algorithms and survivorship rules using Informatica MDM or Reltio APIs Build and maintain Delta Lake tables with schema evolution and versioning for master data domains Use AWS services like S3, Glue, Lambda, and Step Functions for orchestrating MDM workflows Automate data quality checks using IDQ or custom PySpark validators with rule-based profiling Integrate external enrichment sources (e.g., D&B, LexisNexis) via REST APIs and batch pipelines Design and deploy CI/CD pipelines using GitHub Actions or Jenkins for Databricks notebooks and jobs Monitor pipeline health using Databricks Jobs API, CloudWatch, and custom logging frameworks Implement fine-grained access control using Unity Catalog and attribute-based policies for MDM datasets Use MLflow for tracking model-based entity resolution experiments if ML-based matching is applied Collaborate with data stewards to expose curated MDM views via REST endpoints or Delta Sharing Basic Qualifications and Experience: 8 to 13 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Advanced proficiency in PySpark for distributed data processing and transformation Strong SQL skills for complex data modeling, cleansing, and aggregation logic Hands-on experience with Databricks including Delta Lake, notebooks, and job orchestration Deep understanding of MDM concepts including match/merge, survivorship, and golden record creation Experience with MDM platforms like Informatica MDM or Reltio, including REST API integration Proficiency in AWS services such as S3, Glue, Lambda, Step Functions, and IAM Familiarity with data quality frameworks and tools like Informatica IDQ or custom rule engines Experience building CI/CD pipelines for data workflows using GitHub Actions, Jenkins, or similar Knowledge of schema evolution, versioning, and metadata management in data lakes Ability to implement lineage and observability using Unity Catalog or third-party tools Comfort with Unix shell scripting or Python for orchestration and automation Hands on experience on RESTful APIs for ingesting external data sources and enrichment feeds Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications : Any MDM certification (e.g. Informatica, Reltio etc) Any Data Analysis certification (SQL, Python, PySpark, Databricks) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. GCF Level 05A

Job title: Safety Data Sheets expert Location: Hyderabad About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The Global M&S Services acts as a cornerstone to this effort. Our team is responsible for delivering and supporting M&S teams in the area of regulatory compliance, maintenance of product licenses and technical writing of CMC documents. The team members of the global M&S Services Hub will act as partners in carrying out tasks and fulfilling responsibilities to support quality activities with a focus on technical writing. Main responsibilities: Provision of strategic advice to the businesses with regards to regulatory compliance linked to substances (e.g. safety data sheets, classification, packaging & labelling, transport classification, local regulations). This includes monitoring of regulations. Act with efficiency with the Global Product Stewardship team. Edit and maintain Safety Data Sheets using our IT tools. Independent evaluation and validation of substance data for classification and labelling according to international regulations e.g., GHS/CLP, Seveso, and transport regulations. Documents all product stewardship information including references, reports to track and to justify any modification in the versioning of the documents used by Product Stewardship (SDSs, Hazard Classification Sheets & data). Conducting substance data searches and evaluating the results. Collecting, documenting and providing data in internal substance databases. Communicating effectively in a written and oral ways results & conclusions with contacts of sites and Business Units. About you: Experience : 5+ years of industry experience including 2+ years’ experience in Product Stewardship. Soft skills: Be able to work effectively in a team and on your own initiative. Self-starter with the ability to perform under rapidly evolving contexts. Data-based decision maker and methodical in the analysis. Good coordination and communication skills. Ability to provide clear concise explanations. Have critical thinking, problem solving & planning skills. Able to work independently, team player and networker. Important sense for transversal impact. Ability to communicate effectively, orally and in writing. Technical skills : SDS-Writing - Certified competent person according to §18 (4) Hazard Substance Ordinance (Germany) Proficiency in SAP-EHS module is needed. Proven experience of interactions of SAP-EHS with SAP based ERP is needed. Proven experience of SERC – SAP EHS Regulatory Content (now 3E ERC EHS Regulatory Content) is needed. Certified IATA training for Dangerous Goods Transportation is needed. Proven knowledge on toxicological / pharma toxicological backgrounds would be a plus. Knowledge in the use of Artificial Intelligence for the use of designing SDSs would be a plus (e.g. tool from Opesus). Experience on Extended SDS would be a plus. Knowledge on Biocides and in biological agents would be a plus. Professional experience in the field of product safety/product stewardship, chemical laws, classification and labelling of hazardous substances. Experience in writing and reading Material Safety Data sheets . Education : Bachelor’s degree in science or Technical discipline at minimum. Languages : Verbal and written fluency in English Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention, and wellness programs and at least 14 weeks’ gender-neutral parental leave. Opportunity to work in an international environment, collaborating with diverse business teams and vendors, working in a dynamic team, and fully empowered to propose and implement innovative ideas.

Country/Region: IN Requisition ID: 27179 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Technical Lead-App Development Description: Area(s) of responsibility Full stack(JAVA+Reactjs) developerJD S.No Reactjs JD 1Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model 2.Thorough understanding of React.js and its core principles 3.Experience with HTML 5/ CSS3 4.Experience with popular React.js workflows (such as Flux or Redux) 5.Familiarity with newer specifications of EcmaScript 6.Experience with data structure libraries (e.g., Immutable.js) 7 7.Knowledge of isomorphic React is a plus 8.Familiarity with RESTful APIs 9.Knowledge of modern authorization mechanisms, such as JSON Web Token 10.Familiarity with modern front-end build pipelines and tools 11.Experience with common front-end development tools such as Babel, Webpack, NPM, etc. 12.Ability to understand business requirements and translate them into technical requirements 13.A knack for benchmarking and optimization 14.Familiarity with code versioning tools {{such as Git, SVN, and Mercurial}} Java developer JD 15.Designs, develops, and implements web-based Java applications to support business requirements. 16.Follows approved life cycle methodologies, creates design documents, and performs program coding and testing. 17.Resolves technical issues through debugging, research, and investigation. 18.Familiar with standard concepts, practices, and procedures within a particular field. 19.Relies on extensive experience and judgment to plan and accomplish goals. Performs a variety of tasks. 20.Ensure designs are in compliance with specifications 21.Strong knowledge in Java/J2EE. 22.Requires a bachelor's degree in area of specialty and 4-6years of experience in the field or in a related area.