69 Ontologies Jobs - Page 3

Description Kenvue is currently recruiting for: UX Designer This position reports to Manager, Digital Solutions and is based in Bangalore, India. Who We Are At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. What You Will Do We are looking for a UX designer who is passionate about creating user-friendly and engaging digital experiences. You will work closely with our Employee Experience lead, Senior Designers, Product Managers, Developers, and Operations team to understand their needs and deliver solutions that meet their expectations. You will be involved in all stages of the design process, from research and ideation to prototyping and testing. You will use creativity and innovation to develop solutions to complex problems and play a key role in supporting the Kenvue Operations Digital Transformation. Key Responsibilities Conduct user research and analysis to understand the problems and goals of the target audience. Create user personas, user journeys, user flows, and wireframes to communicate the design concepts. Develop interactive prototypes using tools such as Figma, Sketch, or Adobe XD. Conduct usability testing and user feedback sessions to validate and iterate the design solutions. Collaborate with the design team and other stakeholders to ensure consistency and alignment with the brand guidelines and best practices. Document and present design deliverables and rationale to the stakeholders and internal teams. Champion the design process to internal and external stakeholders Estimate and plan the work and time needed for deliverables accurately. Work with deadlines, in a changing environment and across different time-zones. Conduct iterative reviews, collect feedback, and co-create with internal and external stakeholders. Execute robust UI testing and manage the meticulous reporting and tracking of bugs/changes. Communicate and collaborate with cross-functional teams for smooth handovers. Work as part of a Scrum team within an agile delivery framework. What we are looking for Required Qualifications A minimum of bachelor's degree is required, with specialization in UX design, human-computer interaction, or a related field 2 – 4 years of business experience, with at least 2 years of experience in UX design. Experience with visual design tools such as Photoshop, Illustrator, or InDesign. Strong communication skills, both verbal and written, to articulate design decisions and rationale. Curious mindset, problem-solving skills, and fast learning abilities to adapt to different contexts and challenges. Enthusiastic, eager to learn, and responsible attitude to deliver high-quality work within deadlines. Portfolio of UX design projects that demonstrate your skills and process. Strong understanding of design basics (form, color, balance, harmony, etc.). Strong practical knowledge of the design steps and outputs at each stage - system-maps, mind-maps, personas, journey-maps, wireframes, style guides, VD assets, Spec docs etc. Experience with using Design Thinking tools(figma, Miro, Mural, Microsoft Whiteboard) Knowledge of latest UX/UI design trends, frameworks, libraries and guidelines across web, iOS, Android, windows, Power BI, Tableau and other BI tools. A balanced interest in technology and aesthetics. Desired Qualifications Advanced skills in information design and information structure (taxonomies, ontologies, facets etc.). An attentive observer and listener; quickly grasps the smallest details of stakeholder’s business challenge; embraces complexity. Ability to describe end user with clear and precise details. Strong creative thinker; Imagine new and intuitive solutions for difficult UX problems. Aware of the differences and challenges of cross device and cross platform design and delivery - Grids, pixel densities etc. Solid understanding of usability and other design best practices. Solid understanding of primary and secondary User research, User validation and User testing. Ability to design within specific UI framework constraints such as SAP UI, SFDC UI etc. Ability to prioritize accurately and create simple and intuitive user flows and interfaces. Experience in Supply Chain Domain or with any CPG company, good to have. What’s In It For You Competitive Benefit Package Paid Company Holidays, Paid Vacation, Volunteer Time, & More! Learning & Development Opportunities Employee Resource Groups Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Qualifications A minimum of bachelor's degree is required, with specialization in UX design, human-computer interaction, or a related field Primary Location Asia Pacific-India-Karnataka-Bangalore Job Function Digital Product Development

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Job Description Kenvue is currently recruiting for- UX Designer This position reports into Manager, Digital Solutions and is based at Bangalore. Who We Are At Kenvue , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Our global team is made up with 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here . What You Will Do We are looking for a UX designer who is passionate about creating user-friendly and engaging digital experiences. You will work closely with our Employee Experience lead, Senior Designers, Product Managers, Developers, and Operations team to understand their needs and deliver solutions that meet their expectations. You will be involved in all stages of the design process, from research and ideation to prototyping and testing. You will use creativity and innovation to develop solutions to complex problems and play a key role in supporting the Kenvue Operations Digital Transformation. Key Responsibilities Conduct user research and analysis to understand the problems and goals of the target audience. Create user personas, user journeys, user flows, and wireframes to communicate the design concepts. Develop interactive prototypes using tools such as Figma, Sketch, or Adobe XD. Conduct usability testing and user feedback sessions to validate and iterate the design solutions. Collaborate with the design team and other stakeholders to ensure consistency and alignment with the brand guidelines and best practices. Document and present design deliverables and rationale to the stakeholders and internal teams. Champion the design process to internal and external stakeholders Estimate and plan the work and time needed for deliverables accurately. Work with deadlines, in a changing environment and across different time-zones. Conduct iterative reviews, collect feedback, and co-create with internal and external stakeholders. Execute robust UI testing and manage the meticulous reporting and tracking of bugs/changes. Communicate and collaborate with cross-functional teams for smooth handovers. Work as part of a Scrum team within an agile delivery framework. Required Qualifications A minimum of bachelor's degree is required, with specialization in UX design, human-computer interaction, or a related field 2 – 4 years of business experience, with at least 2 years of experience in UX design. Experience with visual design tools such as Photoshop, Illustrator, or InDesign. Strong communication skills, both verbal and written, to articulate design decisions and rationale. Curious mindset, problem-solving skills, and fast learning abilities to adapt to different contexts and challenges. Enthusiastic, eager to learn, and responsible attitude to deliver high-quality work within deadlines. Portfolio of UX design projects that demonstrate your skills and process. Strong understanding of design basics (form, color, balance, harmony, etc.). Strong practical knowledge of the design steps and outputs at each stage - system-maps, mind-maps, personas, journey-maps, wireframes, style guides, VD assets, Spec docs etc. Experience with using Design Thinking tools. Knowledge of latest UX/UI design trends, frameworks, libraries and guidelines across web, iOS, Android, windows, Power BI, Tableau and other BI tools. A balanced interest in technology and aesthetics. Desired Qualifications Advanced skills in information design and information structure (taxonomies, ontologies, facets etc.). An attentive observer and listener; quickly grasps the smallest details of stakeholder’s business challenge; embraces complexity. Ability to describe end user with clear and precise details. Strong creative thinker; Imagine new and intuitive solutions for difficult UX problems. Aware of the differences and challenges of cross device and cross platform design and delivery - Grids, pixel densities etc. Solid understanding of usability and other design best practices. Solid understanding of primary and secondary User research, User validation and User testing. Ability to design within specific UI framework constraints such as SAP UI, SFDC UI etc. Ability to prioritize accurately and create simple and intuitive user flows and interfaces. Experience in Supply Chain Domain or with any CPG company, good to have. What’s In It For You Competitive Benefit Package Paid Company Holidays, Paid Vacation, Volunteer Time, Summer Fridays & More! Learning & Development Opportunities Employee Resource Groups This list could vary based on location/region Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Primary Location Asia Pacific-India-Karnataka-Bangalore Job Function Digital Product Development Job Qualifications What We Are Looking For Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Description The role is based in Munich, Germany (this is not a remote opportunity). We offer immigration and relocation support. The vision of the Ontology Product Knowledge Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences and internal enrichment of product data. We aim to make product knowledge compelling, easy to use, and feature rich. Our work to build comprehensive product knowledge allows us to semantically understand a customer’s intent – whether that is a shopping mission or a seller offering products. We strive to make these experiences more intuitive for all customers. As an Ontologist, you work on a global team of knowledge builders to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners and engineering teams to deliver knowledge-based solutions to enable product discoverability for customers. In this role, you will directly impact the customer experience as well as the company’s product knowledge foundation. Tasks And Responsibilities Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference Create new schema using Generative Artificial Intelligence (generative AI) models Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph Contribute to team goal setting and future state vision Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions Develop team operational excellence programs, data quality initiatives and process simplifications Evangelize ontology and semantic technologies within and across teams at Amazon Develop and refine data governance and processes used by global Ontologists Mentor and influence peers Inclusive Team Culture: Our team has a global presence: we celebrate diverse cultures and backgrounds within our team and our customer base. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs. Work/Life Harmony: Our team believes that striking the right balance between work and your outside life is key. Our work is not removed from everyday life, but instead is influenced by it. We offer flexibility in working hours and will work with you to facilitate your own balance between your work and personal life. Career Growth: Our team cares about your career growth, from your initial company introduction and training sessions, to continuous support throughout your entire career at Amazon. We recognize each team member as an individual, and we will build on your skills to help you grow. We have a broad mix of experience levels and tenures, and we are building an environment that celebrates knowledge sharing. Perks You will have the opportunity to support CX used by millions of customers daily and to work with data at a scale very few companies can offer. We have offices around the globe, and have the opportunity to be considered for global placement. You’ll receive on the job training and group development opportunities. Basic Qualifications Degree in Library Science, Information Systems, Linguistics or equivalent professional experience 5+ years of relevant work experience working in ontology and/or taxonomy roles Proven skills in data retrieval and data research techniques Ability to quickly understand complex processes and communicate them in simple language Experience creating and communicating technical requirements to engineering teams Ability to communicate to senior leadership (Director and VP levels) Experience with generative AI (e.g. creating prompts) Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN) Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty) Detail-oriented problem solver who is able to work in fast-changing environment and manage ambiguity Proven track record of strong communication and interpersonal skills Proficient English language skills Preferred Qualifications Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields Experience building ontologies in the e-commerce and semantic search spaces Experience working with schema-level constructs (e.g. higher-level classes, punning, property inheritance) Proficiency in SQL, SPARQL Familiarity with software engineering life cycle Familiarity with ontology manipulation programming libraries Exposure to data science and/or machine learning, including graph embedding Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad - A85 Job ID: A2837060 Show more Show less

Summary Assist in the timely & professional ongoing Mgmt of data Operations on Use Cases/Demand deliverables and of clinical data warehouse maintenance with respect to cost, quality and timelines within Clinical Pipeline team. Ensure high quality data available for secondary analysis use. Support content development and upgrade to training modules into engaging and interactive applications. Follows data regulations and laws, data-handling procedures and data mapping guidelines. Supports quality deliverables within Clinical Data Operations (DO). Manage data Load, Transfer from Novartis Clinical Data Lake and conform of Clinical trial data to SDTM/ADaM compliant standards within the Clinical Data Warehouse. Supports the delivery of quality data, processes and documentation contributor role in ensuring that use case/demands are executed efficiently with timely and high quality deliverables. About The Role Major accountabilities: Demonstrates potential for technical proficiency, scientific creativity, collaboration with others and independent thought. Under supervision provides input into writing specifications for use cases/demand and necessary reports to ensure high quality and consistent data -Involved in User acceptance testing (UAT) and managing data mapping activities to maintain Clinical Data Warehouse -Under supervision, participates in ongoing review of all data generated from different sources -Supports the development of communications for initiatives. Perform hands on activities to conduct data quality assessments. Creates under supervision and learns relevant data dictionaries, ontologies and vocabularies -Reporting of technical complaints / special case scenarios related to Novartis data Collaborate with other data engineering teams to ensure consistent CDISC based data standards applied Be familiar with all clinical study documents from protocol to CSR including Data Management and Biostatistic documents. Key Performance Indicators Achieve high level of quality, timeliness, cost efficiency and customer satisfaction across Clinical Data Operations activities & deliverables. No critical data findings due to Data Operations-Adherence to Novartis policy, data standards and guidelines -Customer / partner/ project feedback and satisfaction Minimum Requirements Work Experience: 3-5 years of experience in working in clinical trials data reporting Collaborating across boundaries. Knowledge of clinical data Availability of sufficient information to find and understand data Availability of data quality assessments Experience in Agile way of working would be a plus Skills CDISC SDTM/ADaM Mapping Clinical Data Management. Experience in being able to work with different legacy, historical, local data standards SQL basic knowledges Python skills would be a plus Able to work in a worldwide team Data Privacy Data Operations. Data Science. Databases. Detail Oriented. Languages English. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Senior Data Advisor What Makes Us, Us Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we’re saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US SimCorp DMS is a complete data management solution for pricing and reference data, provided as a Managed Service.The SimCorp DMS Advisory and change management service is a team of industry and data management experts who proactively monitor for any industry, regulatory and vendor feed changes that may have an impact on our client’s business operations. The Advisory Service regularly informs clients of these changes, and how best to adapt. As a Senior Data Advisor, you will be responsible to look after the client onboarding, monitoring vendor changes, maintaining the standard data model and orchestrating change management activities for the SimCorp DMS clients by liaising with internal service teams from IT and Operations. You will be directly reporting to the head of Data Advisory team What You Will Be Responsible For Create and maintain data standards (lookups, mappings, conventions, and rules), data models and data ontologies (how are data objects related to each other) Maintain meta data information documentation regarding data models, data interpretation, data lineage and utilization along the key processes and make it available to internal and external stakeholders. Monitor, track and conduct assessment of all vendors related changes that impacts SimCorp DMS and Enterprise Data Manager clients. Facilitate Change & Control Board (CCB) governance with internal service teams to prioritize and deliver the standard and client change requests. Design and implement a robust client onboarding framework for a seamless DMS client onboarding Serve as the advisor and quality gateway regarding data and change integrations related to data. Support design and maintenance of an overall data test concepts and conduct regular data tests to assure data and service quality. Support DMS Operations on various process improvement initiatives. Advise clients on data needs and data usage for new requirements. Build and maintain in-depth know-how on industry and regulatory changes within data management. This is a client-centric role that involves regular interaction with our valued customers Continuously develop a comprehensive understanding of the latest industry and regulatory trends in the data management space and promote best practices within the SimCorp community to benefit our clients. Have a relevant bachelor’s degree or equivalent in finance Relevant experience in areas of Change Management with data vendor feeds (Bloomberg, IDC, Reuters, etc.) Have good knowledge of financial products and markets including derivatives, structured instruments etc. Have experience in requirements engineering, data modelling and full SDLC approach. Have a structured approach, attention to detail, service mindset, and solid organizational and interpersonal skills. Process management, control and design experience are beneficial skills but not mandatory. Have relevant experience in Data Management and Business Analysis Possess strong knowledge of various investment/trade lifecycle activities Show the ability to collaborate easily with various departments to ensure client success. Exhibit clear verbal and written communication to engage and inform various stakeholders Benefits SimCorp offers several benefits that might influence whether to accept a job offer. Since SimCorp operates in 30+ offices worldwide, the benefits package may vary from country to country. Take advantage of this section and indicate the most-valued benefits for candidates, considering training and certification, as well as benefits that can improve a candidate's work- life balance, such as flexible hours, vacation time, work-from-home options, etc. Please note that this may not be possible for multiple location postings due to the difference in benefits. NEXT STEPS Please send us your application in English via our career site as soon as possible, we process incoming applications continually . Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process. For any questions you are welcome to contact Swati Pal (Swati.pal@Simcorp.com) , Talent Acquisition Partner, at email address. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on a positive growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks. We are focused on continually improving our talent acquisition process and making everyone’s experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. Who We Are For over 50 years, we have worked closely with investment and asset managers to become the world’s leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to[1]back offering for our clients. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. Show more Show less

We're Celonis, the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes - and for that, we need you to join us. The Team: You will be joining the Catalog team within the Business Apps department. Our mission is to build end-to-end solutions on the Celonis platform, including data models and end-user applications, to accelerate time to value for our customers and partners. The Catalog team within Business Apps specializes in three aspects: defining the data ontology of the most common business processes, building prebuilt transformations for such ontologies for major source systems like SAP, Oracle etc, and lastly, collaborating with various teams in both the Product and Go-to-market organizations to drive adoption at scale. The Role: As a Data Engineer, you will own and focus on primarily two aspects: On the one hand, refining prebuilt transformations for existing ontologies (for processes like Order to Cash, Procure to Pay, Inventory Management) for SAP, Oracle etc and validating them across our early adopters in our customer base. On the other, defining and extending the existing ontologies with additional processes and extending to additional systems. In addition, you would also be responsible for maintaining the quality of content that we produce, and write documentation on the ontology definitions. This will ensure both internal and external application developers will be able to leverage the data foundation to develop their solutions The work you’ll do: Build data models for the defined ontologies and mappings using the object-centric process mining methodologies with performant SQL transformations. Design and implement business objects, process events, and data models in the Celonis platform. Research and design: ontologies for new business processes, improve and extend capabilities of existing ones the source system transformations to map them with the defined ontologies. Facilitate cross-functional interactions with product managers, domain experts, engineers, and consultants.. Test and validate the models in development environments and customer environments to gather early feedback Document the data model governing principles and development The qualifications you need: You have that rare combination—a strong technical expertise and business acumen. You’ll use this to build a system-agnostic data model for various business processes. 3-5+ years of experience working in the data field as a Data Engineer, Data Analyst or similar. Must-have: Experience working with data from at least one of the following system types: ERP (e.g. SAP ECC or S/4, Oracle EBS or Fusion) Supply Chain Management (e.g. BlueYonder, SAP or Oracle Transportation Management) CRM (e.g. Salesforce, Microsoft Dynamics) IT (e.g. ServiceNow) Strong solution designing skills with solid understanding of business processes (supply chain, financial, CRM or IT-related processes) and data beneath the IT systems that run these processes. Experience with databases and data modeling, and hands-on experience with SQL. Ability to work independently and own a part of the team’s goals Very good knowledge of spoken and written English Ability to communicate effectively and build a good rapport with team members What Celonis Can Offer You: Pioneer Innovation: Work with the leading, award-winning process mining technology, shaping the future of business. Accelerate Your Growth: Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities. Receive Exceptional Benefits: Including generous PTO, hybrid working options, company equity (RSUs), comprehensive benefits, extensive parental leave, dedicated volunteer days, and much more. Prioritize Your Well-being: Access to resources such as gym subsidies, counseling, and well-being programs. Connect and Belong: Find community and support through dedicated inclusion and belonging programs. Make Meaningful Impact: Be part of a company driven by strong values that guide everything we do: Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future. Collaborate Globally: Join a dynamic, international team of talented individuals. Empowered Environment: Contribute your ideas in an open culture with autonomous teams. About Us: Celonis makes processes work for people, companies and the planet. The Celonis Process Intelligence Platform uses industry-leading process mining and AI technology and augments it with business context to give customers a living digital twin of their business operation. It’s system-agnostic and without bias, and provides everyone with a common language for understanding and improving businesses. Celonis enables its customers to continuously realize significant value across the top, bottom, and green line. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video. Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that “The Best Team Wins”. We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis’ Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process. Please be aware of common job offer scams, impersonators and frauds. Learn more here. Show more Show less

Job title: Data Modelling 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 and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. 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 R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main Responsibilities Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D) Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment Understand data governance policies, standards and procedures for R&D data Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources About You Experience in Data Modelling, business data management, information architecture, technology or other related field Demonstrated ability to understand end-to-end data use and business needs Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling best practices and naming conventions Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Experience with data management practices and technologies (e.g., Collibra, Informatica etc) Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required, Experience in big data infrastructures (E.g., Hadoop, NOSQL etc) Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements, Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling, Experience with hierarchical data models from conceptualization to database optimization Education: Bachelor’s in computer science, Engineering, Mathematics, Statistics, or related; Masters preferred null Show more Show less

Job title: Data Modelling Manager Associate 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 and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. 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 R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main Responsibilities Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand data governance policies, standards and procedures for R&D data Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources About You Experience in Pharm domain, Data Governance, Data flows, business data management, information & data architecture, technology or another related field Demonstrated ability to understand end-to-end data use and business needs Experience in Conceptual and Logical modeling Identify and define data domain hierarchies, expertise to data security and privacy standards, Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling (conceptual, logical and physical) best practices and naming conventions, Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus, Excellent written and oral communications skills Strong networking and negotiating skills to collaborate and influence stakeholders in building and managing R&D level data domain structures using best practices, demonstrated willingness to make decisions and to take responsibility for such, Excellent interpersonal skills (team player) Experience with data management practices and technologies (e.g., Collibra, Informatica etc), Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity, Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling Experience with hierarchical data models from conceptualization to database optimization Education: Bachelor’s in computer science, Engineering, Mathematics, Statistics, or related; Masters preferred null Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

Position Title: Data Scientist Company Overview: Capgemini Engineering is a global leader in engineering services, bringing together a worldwide team of engineers, scientists, and architects to assist the most innovative companies in unleashing their potential. Position Overview: We are seeking a skilled Data Scientist with expertise in Cognite Data Fusion, data modelling, Unified Namespace (UNS), ontologies, and the identification of data products and datasets. The ideal candidate will have a strong background in developing and implementing data science projects, analyzing large and complex data sets, and driving data-driven decision-making across the organization Key Responsibilities: Solution Development: Design, implement, and deploy scalable data solutions utilizing Cognite Data Fusion, focusing on data modeling, UNS, and ontologies to address industry-specific challenges.​ Data Analysis: Analyze large and complex data sets to identify trends, insights, and opportunities, supporting solution development and business strategies.​ Collaboration: Collaborate with cross-functional teams to understand data needs and translate them into data science solutions, ensuring seamless integration and operationalization of digital solutions across various domains. Client Engagement: Engage with clients to understand their business objectives, lead discovery workshops, and provide expert guidance on data-driven strategies and potential challenges.​ Visualization: Develop dashboards and visualizations using tools such as Power BI, Grafana, or web development frameworks like Plotly Dash and Streamlit to effectively communicate data insights.​ Mentorship: Provide guidance and mentorship to junior team members, promoting best practices in data science and software development.​ Qualifications: Educational Background: Master’s or PhD degree in a quantitative field.​ Experience: Minimum of 2 years of experience in data science, with a strong background in developing analytical solutions within domains such as pharma, oil and gas, manufacturing, or power & utilities.​ Technical Skills: Proficiency in Python and its data ecosystem (pandas, numpy), machine learning libraries (scikit-learn, keras), and experience with SQL.​ Visualization Tools: Experience with data visualization tools like Power BI, Grafana, Tableau, or web development frameworks such as Plotly Dash and Streamlit.​ Software Practices: Strong understanding of software development practices, including version control (e.g., Git), automated testing, and documentation.​ Cloud Platforms: Experience with cloud services such as GCP, Azure, or AWS is advantageous.​ Domain Knowledge: Familiarity with industrial data management concepts, including Unified Namespace (UNS), ontologies, and data product identification.​ Communication Skills: Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders.​ Leadership: Demonstrated ability to lead projects and mentor junior team members.​ Preferred Qualifications: Industry Expertise: Experience serving as a domain expert on internal or customer projects within relevant industries.​ Cloud Deployment: Experience deploying models and solutions in production environments using cloud infrastructure.​ Continuous Learning: Willingness to stay updated with the latest developments in data science and related technologies.​ Show more Show less

Lead Knowledge Engineer Hyderabad, India Data Management 311636 Job Description About The Role: Grade Level (for internal use): 11 The Role : The Knowledge Engineering team are seeking a Lead Knowledge Engineer to support our strategic transformation from a traditional data organization into a next generation interconnected data intelligence organization. The Team : The Knowledge Engineering team within data strategy and governance helps to lead fundamental organizational and operational change driving our linked data, open data, and data governance strategy, both internally and externally. The team partners closely with data and software engineering to envision and build the next generation of data architecture and tooling with modern technologies. The Impact : Knowledge Engineering efforts occur within the broader context of major strategic initiatives to extend market leadership and build next-generation data, insights and analytics products that are powered by our world class datasets. What’s in it for you : The Lead Knowledge Engineer role is an opportunity to work as an individual contributor in creatively solving complex challenges alongside visionary leadership and colleagues. It’s a role with highly visible initiatives and outsized impact. The wider division has a great culture of innovation, collaboration, and flexibility with a focus on delivery. Every person is respected and encouraged to be their authentic self. Responsibilities : Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery Design and prototype data / software engineering solutions enabling to scale the construction, maintenance and consumption of semantic artefacts and interconnected data layer for various application contexts Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met Influence the strategic semantic vision, roadmap, and next-generation architecture Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains Analyze and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools Qualifications: Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade and influence 5+ years of experience with ontology development, semantic web technologies (RDF, RDFS, OWL, SPARQL) and open-source or commercial semantic tools (e.g., VocBench, TopQuadrant, PoolParty, RDFLib, triple stores); Advanced studies in computer science, knowledge engineering, information sciences, or related discipline preferred 3+ years of experience in advanced data integration with semantic and knowledge graph technologies in complex, enterprise-class, multi-system environment(s); skilled in all phases from conceptualization to optimization Programming skills in a mainstream programming language (Python, Java, JavaScript), with experience in utilizing cloud services (AWS, Google Cloud, Azure) is a great bonus Understanding of the agile development life cycle and the broader data management discipline (data governance, data quality, metadata management, reference and master data management) S&P Global Enterprise Data Organization is a unified, cross-divisional team focused on transforming S&P Global’s data assets. We streamline processes and enhance collaboration by integrating diverse datasets with advanced technologies, ensuring efficient data governance and management. About S&P Global Commodity Insights At S&P Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit http://www.spglobal.com/commodity-insights. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.2 - Middle Management Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 311636 Posted On: 2025-05-14 Location: Hyderabad, Telangana, India

About Intellect Design Arena Limited Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellect’s revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge. With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. For more information about Intellect, visit https://www.intellectdesign.com/ Pre-Sales Resources:- - Support the sales team in understanding client requirements and developing tailored Position: Knowledge/Technical Architect – Purple Fabric Focus: MongoDB as a Unified Data Platform (including MongoDB Vector Database) Location: Chennai About Purple Fabric:- Purple Fabric is on a mission to unify data and fuel enterprise AI solutions with speed, precision, and insight. Our Enterprise AI Platform integrates MongoDB’s advanced features, especially Vector Database capabilities, to orchestrate real-time intelligence for businesses worldwide. The Opportunity As a Knowledge Architect, you will shape how Purple Fabric designs, organizes, and leverages data across the enterprise. From structuring vector-based data models in MongoDB to optimizing AI-driven applications, you’ll be pivotal in: 1.Unified Data Strategyo Architect a MongoDB-centric data platform that integrates documents, unstructured data, and vector embeddings.o Ensure optimal performance, scalability, and reliability across cloud environments. 2.Vector Database Excellenceo Lead the adoption and refinement of MongoDB Vector Database features.o Implement efficient vector indexing, semantic search, and similarity-based queries. 3.AI-Ready Pipelineso Collaborate with data engineers and ML teams to build pipelines that handle real-time ingestion, transformation, and serving of data.o Incorporate knowledge graph elements, metadata schemas, and ontologies where relevant. 4.Governance & Securityo Uphold best practices for data privacy, compliance, and role-based access control.o Define clear frameworks for indexing, sharding, and multi-region replication.o Stay ahead of NoSQL and AI trends, especially emerging MongoDB capabilities.o Mentor teams and champion a culture of exploration, knowledge sharing, and data-driven decision-making. What We’re Looking For •Technical Mastery: 5+ years in NoSQL database architecture (with deep MongoDB experience). Hands-on with vector data, indexing, and performance tuning.•AI Collaboration: Familiarity with ML pipelines, embedding strategies, and real-time analytics.•Problem-Solving Mindset: Ability to translate business goals into scalable data designs, with a knack for performance optimization and innovative thinking.•Clear Communication: Skilled at articulating complex ideas to varied audiences, from engineers to executives.•Preferred Extras: Experience with knowledge graphs, big data ecosystems, or relevant MongoDB certifications. Why Join Purple Fabric? • Impactful Role: Shape the blueprint for our enterprise AI ecosystem and influence data strategy across global industries.• Cutting-Edge Tech: Lead the integration of MongoDB Vector Database capabilities and stay on the forefront of AI advancements.• Collaborative Environment: Work with passionate experts eager to push boundaries and share knowledge.• Growth & Recognition: Grow your career in a dynamic setting that values innovation and celebrates diverse viewpoints.

About the Role:We are seeking a highly skilled and experienced Data Engineering to join our growing team. As a Data Engineering, you will play a critical role in designing, building, and scaling Google's massive data infrastructure and platforms. You will be a technical leader and mentor, driving innovation and ensuring the highest standards of data quality, reliability, and performance.Responsibilities:Design and Architecture:Design and implement scalable, reliable, and efficient data pipelines and architectures for various Google products and services.Develop and maintain data models, schemas, and ontologies to support diverse data sources and use cases.Evaluate and recommend new and emerging data technologies and tools to improve Google's data infrastructure.Collaborate with product managers, engineers, and researchers to define data requirements and translate them into technical solutions.Data Processing and Pipelines:Build and optimize batch and real-time data pipelines using Google Cloud Platform (GCP) services such as Dataflow, Dataproc, Pub/Sub, and Cloud Functions.Develop and implement data quality checks and validation processes to ensure data accuracy and consistency.Design and implement data governance policies and procedures to ensure data security and compliance.Data Storage and Management:Design and implement scalable data storage solutions using GCP services such as BigQuery, Cloud Storage, and Spanner.Optimize data storage and retrieval for performance and cost-effectiveness.Implement data lifecycle management policies and procedures.Team Leadership and Mentorship:Provide technical leadership and guidance to data engineers and other team members.Mentor and coach junior engineers to develop their skills and expertise.Foster a culture of innovation and collaboration within the team.Qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or a related field.8+ years of experience in data engineering or a related field.Strong understanding of data warehousing, data modeling, and ETL processes.Expertise in designing and implementing large-scale data pipelines and architectures.Proficiency in SQL and at least one programming language such as Python or Java.Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.Experience with open-source data processing frameworks such as Hadoop, Spark, and Kafka.Excellent communication, interpersonal, and collaboration skills.Preferred Qualifications:Experience with data governance and data quality management.Experience with machine learning and data science.Experience with containerization and orchestration technologies such as Docker and Kubernetes.Contributions to open-source projects or communities.Google Cloud Professional Data Engineer certification.

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Individual Accountabilities Collaboration Collaborates with domain architects in the DSS, OEA, EUS, and HaN towers and if appropriate, the respective business stakeholders in architecting data solutions for their data service needs. Collaborates with the Data Engineering and Data Software Engineering teams to effectively communicate the data architecture to be implemented. Contributes to prototype or proof of concept efforts. Collaborates with InfoSec organization to understand corporate security policies and how they apply to data solutions. Collaborates with the Legal and Data Privacy organization to understand the latest policies so they may be incorporated into every data architecture solution. Suggest architecture design with Ontologies, MDM team. Technical skills & design Significant experience working with structured and unstructured data at scale and comfort with a variety of different stores (key-value, document, columnar, etc.) as well as traditional RDBMS and data warehouses. Deep understanding of modern data services in leading cloud environments, and able to select and assemble data services with maximum cost efficiency while meeting business requirements of speed, continuity, and data integrity. Creates data architecture artifacts such as architecture diagrams, data models, design documents, etc. Guides domain architect on the value of a modern data and analytics platform. Research, design, test, and evaluate new technologies, platforms and third-party products. Working experience with Azure Cloud, Data Mesh, MS Fabric, Ontologies, MDM, IoT, BI solution and AI would be greater assets. Expert troubleshoot skills and experience. Leadership Mentors aspiring data architects typically operating in data engineering and software engineering roles. Key shared accountabilities Leads medium to large data services projects. Provides technical partnership to product owners Shared stewardship, with domains architects, of the Arcadis data ecosystem. Actively participates in Arcadis Tech Architect community. Key profile requirements Minimum of 7 years of experience in designing and implementing modern solutions as part of variety of data ingestion and transformation pipelines Minimum of 5 years of experience with best practice design principles and approaches for a range of application styles and technologies to help guide and steer decisions. Experience working in large scale development and cloud environment. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day, which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people.

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Individual Accountabilities Collaboration Collaborates with domain architects in the DSS, OEA, EUS, and HaN towers and if appropriate, the respective business stakeholders in architecting data solutions for their data service needs. Collaborates with the Data Engineering and Data Software Engineering teams to effectively communicate the data architecture to be implemented. Contributes to prototype or proof of concept efforts. Collaborates with InfoSec organization to understand corporate security policies and how they apply to data solutions. Collaborates with the Legal and Data Privacy organization to understand the latest policies so they may be incorporated into every data architecture solution. Suggest architecture design with Ontologies, MDM team. Technical skills & design Significant experience working with structured and unstructured data at scale and comfort with a variety of different stores (key-value, document, columnar, etc.) as well as traditional RDBMS and data warehouses. Deep understanding of modern data services in leading cloud environments, and able to select and assemble data services with maximum cost efficiency while meeting business requirements of speed, continuity, and data integrity. Creates data architecture artifacts such as architecture diagrams, data models, design documents, etc. Guides domain architect on the value of a modern data and analytics platform. Research, design, test, and evaluate new technologies, platforms and third-party products. Working experience with Azure Cloud, Data Mesh, MS Fabric, Ontologies, MDM, IoT, BI solution and AI would be greater assets. Expert troubleshoot skills and experience. Leadership Mentors aspiring data architects typically operating in data engineering and software engineering roles. Key shared accountabilities Leads medium to large data services projects. Provides technical partnership to product owners Shared stewardship, with domains architects, of the Arcadis data ecosystem. Actively participates in Arcadis Tech Architect community. Key profile requirements Minimum of 7 years of experience in designing and implementing modern solutions as part of variety of data ingestion and transformation pipelines Minimum of 5 years of experience with best practice design principles and approaches for a range of application styles and technologies to help guide and steer decisions. Experience working in large scale development and cloud environment. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day, which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people.

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. Individual Accountabilities Collaboration Collaborates with domain architects in the DSS, OEA, EUS, and HaN towers and if appropriate, the respective business stakeholders in architecting data solutions for their data service needs. Collaborates with the Data Engineering and Data Software Engineering teams to effectively communicate the data architecture to be implemented. Contributes to prototype or proof of concept efforts. Collaborates with InfoSec organization to understand corporate security policies and how they apply to data solutions. Collaborates with the Legal and Data Privacy organization to understand the latest policies so they may be incorporated into every data architecture solution. Suggest architecture design with Ontologies, MDM team. Technical skills & design Significant experience working with structured and unstructured data at scale and comfort with a variety of different stores (key-value, document, columnar, etc.) as well as traditional RDBMS and data warehouses. Deep understanding of modern data services in leading cloud environments, and able to select and assemble data services with maximum cost efficiency while meeting business requirements of speed, continuity, and data integrity. Creates data architecture artifacts such as architecture diagrams, data models, design documents, etc. Guides domain architect on the value of a modern data and analytics platform. Research, design, test, and evaluate new technologies, platforms and third-party products. Working experience with Azure Cloud, Data Mesh, MS Fabric, Ontologies, MDM, IoT, BI solution and AI would be greater assets. Expert troubleshoot skills and experience. Leadership Mentors aspiring data architects typically operating in data engineering and software engineering roles. Key shared accountabilities Leads medium to large data services projects. Provides technical partnership to product owners Shared stewardship, with domains architects, of the Arcadis data ecosystem. Actively participates in Arcadis Tech Architect community. Key profile requirements Minimum of 7 years of experience in designing and implementing modern solutions as part of variety of data ingestion and transformation pipelines Minimum of 5 years of experience with best practice design principles and approaches for a range of application styles and technologies to help guide and steer decisions. Experience working in large scale development and cloud environment. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day, which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people.