69 Ontologies Jobs - Page 2

Job Description: The Wolters Kluwer Digital Experience Group creates products and solutions with Wolters Kluwer businesses around the globe to serve professionals in the Legal, Tax, Heath, ESG, Finance and Compliance sectors. This wide and growing array of solutions supports Wolters Kluwer businesses in building and expanding their online product portfolios. The Digital Experience Group (DXG) provides global leverage of industry and customer insight, driving technology capabilities for local product development. Do you want to use your skills and experience to make a meaningful impact to provide expert solutions in a diverse set of professional domains: healthcare, compliance, legal and regulatory and tax and accounting? Wolters Kluwer is a fast-growing and innovation-driven global company that has successfully made a transition from print publishing to a digitally-driven provider of professional software, online expert content and integrated workflow products. A unique combination of experts, content and data provide the ingredients to create expert solutions based on advanced technologies especially cognitive technologies. Collaborating with product visionaries and experts in healthcare, compliance, legal and tax you will guide advanced solutions that tackle some of the most challenging problems our customers face. We're looking for an Ontology Specialist / Knowledge Engineer who is passionate about delivering the next generation of digital products. You are willing to work with subject matter experts, product leaders, customers and developers to create knowledge organization systems (e.g. vocabularies, taxonomies, etc.) that guides the user experience. Reporting to the Ontology/Knowledge Engineering Manager, this role is part of a centralized function within the Digital Experience Group (DXG) a team supporting a suite of Content Technology tools and services used by the product and content teams in each division. Responsibilities: Support the design and implementation of ontology-driven knowledge frameworks to support AI, search, and content retrieval systems. Develop and maintain taxonomies, knowledge graphs, ontologies, and metadata models, ensuring scalability and alignment with business goals. Ensure adherence to data governance, compliance, and privacy standards, particularly in the use of AI-driven systems. Establish and maintain best practices for ontology versioning, data integration, and knowledge updates, leveraging FAIR and the corporate ontology principles Work closely with teams across Wolters Kluwer to develop data models, focusing on conceptual, logical, and physical models for knowledge representation. Communicate effectively with collaborators from a variety of domain expertise and technical experience; able to clearly describe ontologies, models, and knowledge frameworks, as well ask about requirements, the job to be done, and other clarifying questions Monitor trends in knowledge engineering that can apply to current / future solutions Experience: Bachelor's degree in computer science, library science, linguistic or related experience Has 1+ years experience developing or using knowledge organization systems; such controlled vocabularies, taxonomies Has 1+ years experience developing or using knowledge models based on W3C standards (RDF, OWL, SKOS, etc.) Has 1+ years experience integrating ontologies; such as Dublin Core, FRBR, FOAF, etc. Has 1+ years experience integrating linked data sets in application Strong written and oral communication and presentation skills Abstract thinker with the ability to conceptualize or generalize, and apply the corporate knowledge model to solve business problems in different domains Experience in adoption of knowledge models to the legal, accounting or health domains is desirable Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

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: 5+ years of experience in business data management, information architecture, technology or other related field Functional skills: 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) Technical Skills 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 Languages: English Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Show more Show less

Job title: Data Modeling manager Associate Location: Hyderabad, India 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 primary responsibility of this position is to enable effective data capture and analysis in the R&D space through the development of conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for structured data capture, 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 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 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 functional 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 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 modelling ensuring interoperability among systems, applications & data sources About You Experience in data management, data analysis, data architecture, or another related field Demonstrated ability to understand end-to-end data use and business needs Knowledge and/or experience of Pharma R&D or life sciences data and data domains are critical 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) Knowledge and experience of data modelling, SQL and database design are required Knowledge and experience of RDF, NoSQL and ontology are highly desired. Experience pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Experience with hierarchical data models from conceptualization to database implementation Education: Bachelor’s in science, Engineering, or related; Masters preferred Languages: English null Show more Show less

Job title: R&D Data Modeling Manager Associate Location: Hyderabad 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 in patients’ daily lives, 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 a strong commitment to developing advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone of this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We partner 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 developing sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The primary responsibility of this position is to support semantic integration and data harmonization across pharmaceutical R&D functions. In this role, you will design and implement ontologies and controlled vocabularies that enable interoperability of scientific, clinical, and operational data. Your work will be critical in accelerating discovery, improving data reuse, and enhancing insights across the drug development lifecycle. Main Responsibilities Develop, maintain, and govern ontologies and semantic models for key pharmaceutical domains, including preclinical, clinical, regulatory, and translational research Design and implement controlled vocabularies and taxonomies to standardize terminology across experimental data, clinical trials, biomarkers, compounds, and regulatory documentation Collaborate with cross-functional teams including chemists, biologists, pharmacologists, data scientists, and IT architects to align semantic models with scientific workflows and data standards Map internal data sources to public ontologies and standards to ensure FAIR (Findable, Accessible, Interoperable, Reusable) data principles Leverage semantic web technologies and ontology tools to build knowledge representation frameworks Participate in ontology alignment, reasoning, and validation processes to ensure quality and logical consistency Document semantic assets, relationships, and governance policies to support internal education and external compliance Deliverables Domain-specific ontologies representing concepts such as drug discovery (e.g., compounds, targets, assays), preclinical and clinical studies, biomarkers, adverse events, pharmacokinetics / dynamics, mechanisms of action, and disease models built using OWL/RDF and aligned with public standards Controlled vocabularies & taxonomies for experimental conditions, cell lines, compound classes, endpoints, clinical trial protocols, etc. Semantic data models supporting the integration of heterogeneous data sources (e.g., lab systems, clinical trial data, external databases) Knowledge graphs or knowledge maps for semantic integration of structured data from internal R&D systems Mappings to public ontologies, standards, and external knowledge bases like: CDISC, MedDRA, LOINC, UMLS, SNOMED CT, RxNorm, UniProt, DrugBank, PubChem, NCBI Ontology documentation & governance artifacts, including ontology scope, design rationale, versioning documentation, and usage guidelines for internal stakeholders Validation reports and consistency checks, including outputs from reasoners or SHACL validation to ensure logical coherence and change impact assessments when modifying existing ontologies Training and stakeholder support materials: slide decks, workshops, and tutorials on using ontologies in data annotation, integration, and search Support for application developers embedding semantic layers About You Experience: 5+ years of experience in ontology engineering, data management, data analysis, data architecture, or another related field Proven experience in ontology engineering, Proven experience in ontology development within the biomedical or pharmaceutical domain Experience working with biomedical ontologies and standards (e.g., GO, BAO, EFO, ChEBI, NCBI Taxonomy, NCI Thesaurus, etc.) Familiarity with controlled vocabulary curation and knowledge graph construction. Demonstrated ability to understand end-to-end data use and business needs Knowledge and/or experience of Pharma R&D or life sciences data and data domains. Understanding of FAIR data principles, data governance, and metadata management Strong analytical problem-solving skills. Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communication 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) Knowledge and experience in ontology engineering and maintenance are required. Knowledge and experience with OWL, RDF, SKOS, and SPARQL Familiarity with ontology engineering tools (e.g., Protégé, CENtree, TopBraid Composer PoolParty), Familiarity with ontology engineering methodologies (e.g., NeOn, METHONTOLOGY, Uschold and King, Grüninger and Fox, etc.) Knowledge and experience in data modeling are highly desired. Experience with pharma R&D platforms, requirements gathering, system design, and validation/quality/compliance requirements Experience with hierarchical data models from conceptualization to implementation, bachelor’s in computer science, Information Science, Knowledge Engineering, or related; Masters or higher preferred Languages: English null Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking a Reference Data Management Senior Analyst who as the Reference Data Product team member of the Enterprise Data Management organization, will be responsible for managing and promoting the use of reference data, partnering with business Subject Mater Experts on creation of vocabularies / taxonomies and ontologies, and developing analytic solutions using semantic technologies . Roles & Responsibilities: Work with Reference Data Product Owner, external resources and other engineers as part of the product team Develop and maintain semantically appropriate concepts Identify and address conceptual gaps in both content and taxonomy Maintain ontology source vocabularies for new or edited codes Support product teams to help them leverage taxonomic solutions Analyze the data from public/internal datasets. Develop a Data Model/schema for taxonomy. Create a taxonomy in Semaphore Ontology Editor. Perform Bulk-import data templates into Semaphore to add/update terms in taxonomies. Prepare SPARQL queries to generate adhoc reports. Perform Gap Analysis on current and updated data Maintain taxonomies in Semaphore through Change Management process. Develop and optimize automated data ingestion / pipelines through Python/PySpark when APIs are available Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Identify and resolve complex data-related challenges Participate in sprint planning meetings and provide estimations on technical implementation. Basic Qualifications and Experience: Master’s degree with 6 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 8 years of experience in Business, Engineering, IT or related field OR Diploma with 9+ years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Knowledge of controlled vocabularies, classification, ontology and taxonomy Experience in ontology development using Semaphore, or a similar tool Hands on experience writing SPARQL queries on graph data Excellent problem-solving skills and the ability to work with large, complex datasets Understanding of data modeling, data warehousing, and data integration concepts Good-to-Have Skills: Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.). Experience using cloud services such as AWS or Azure or GCP Experience working in Product Teams environment Knowledge of Python/R, Databricks, cloud data platforms Knowledge of NLP (Natural Language Processing) and AI (Artificial Intelligence) for extracting and standardizing controlled vocabularies. Strong understanding of data governance frameworks, tools, and best practices Professional Certifications: Databricks Certificate preferred SAFe® Practitioner Certificate preferred Any Data Analysis certification (SQL, Python) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking a Reference Data Management Senior Analyst who as the Reference Data Product team member of the Enterprise Data Management organization, will be responsible for managing and promoting the use of reference data, partnering with business Subject Mater Experts on creation of vocabularies / taxonomies and ontologies, and developing analytic solutions using semantic technologies . Roles & Responsibilities: Work with Reference Data Product Owner, external resources and other engineers as part of the product team Develop and maintain semantically appropriate concepts Identify and address conceptual gaps in both content and taxonomy Maintain ontology source vocabularies for new or edited codes Support product teams to help them leverage taxonomic solutions Analyze the data from public/internal datasets. Develop a Data Model/schema for taxonomy. Create a taxonomy in Semaphore Ontology Editor. Perform Bulk-import data templates into Semaphore to add/update terms in taxonomies. Prepare SPARQL queries to generate adhoc reports. Perform Gap Analysis on current and updated data Maintain taxonomies in Semaphore through Change Management process. Develop and optimize automated data ingestion / pipelines through Python/PySpark when APIs are available Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs Identify and resolve complex data-related challenges Participate in sprint planning meetings and provide estimations on technical implementation. Basic Qualifications and Experience: Master’s degree with 6 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 8 years of experience in Business, Engineering, IT or related field OR Diploma with 9+ years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Knowledge of controlled vocabularies, classification, ontology and taxonomy Experience in ontology development using Semaphore, or a similar tool Hands on experience writing SPARQL queries on graph data Excellent problem-solving skills and the ability to work with large, complex datasets Understanding of data modeling, data warehousing, and data integration concepts Good-to-Have Skills: Hands on experience writing SQL using any RDBMS (Redshift, Postgres, MySQL, Teradata, Oracle, etc.). Experience using cloud services such as AWS or Azure or GCP Experience working in Product Teams environment Knowledge of Python/R, Databricks, cloud data platforms Knowledge of NLP (Natural Language Processing) and AI (Artificial Intelligence) for extracting and standardizing controlled vocabularies. Strong understanding of data governance frameworks, tools, and best practices Professional Certifications: Databricks Certificate preferred SAFe® Practitioner Certificate preferred Any Data Analysis certification (SQL, Python) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. What You Will Do Let’s do this. Let’s change the world. In this vital role We are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer – Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs). Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake). Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication. Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure. Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery. Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 9-12 years of software development experience Proficient in AI Model, NLM, AI, Python, Elasticsearch OR Solr OR OpenSearch, GraphQL, No SQL, Cloud CI/CD build pipelines, API Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS). Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python Proficient in Databricks, Java Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA. Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production. Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good To Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases). Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What You Can Expect From Us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

About SAI Group SAI Group is a private investment firm dedicated to incubating and scaling AI-powered enterprise software companies. Our portfolio spans across rapidly growing businesses that serve over 2,000 global customers, generating nearly $600 million in annual revenue and employing over 4,000 individuals worldwide. As we continue to scale, we are focused on building world-class teams to drive our portfolio companies' success. Role Overview: As a Research Engineer, you will be instrumental in exploring and establishing best practices for leveraging and extending novel Generative AI based technologies to develop groundbreaking solutions for enterprise use cases. This role offers a unique opportunity to delve into the rapidly evolving world of foundation models, AI agents, reasoning models etc. and contribute to the design and development of an innovative enterprise AI platform to deliver transformative, AI-enabled work experiences for enterprise users. What You Will Do Experimentation and Research : Systematically explore various technologies and strategies such as foundation models, agentic workflows, ontology and knowledge graphs, reinforcement learning, dynamic prompting, retrieval augmented generation, and collaborative problem solving to enhance our understanding and utilization of foundation models and related Generative AI frameworks. You will design and conduct experiments to probe the limits and capabilities of different foundation models, frameworks and their application strategies. Development and Analysis : Design experiments to understand the capabilities and limits of foundation models. Build tools necessary for conducting experiments, run these experiments, and meticulously analyze the results. Build on the quantitative and qualitative findings from these experiments to design future experiments and shape the architecture of our enterprise AGI platform. Prototyping and Innovation : Take charge of developing and refining prototypes for our platform. Your innovative approach will contribute to evolving our enterprise AGI platform in line with the latest advancements and insights gained from research activities. Requirements Proven hands-on experience prototyping advanced deep technologies in AI/ML and shaping the evolution of platforms, products and user experiences. Hands-on experience working with AI foundation models (LLMs, reasoning models etc.) to craft real-world applications. Comprehensive knowledge of the emerging AI ecosystem, including foundation model ecosystem (public and private models), agent frameworks, and tools. Experience with AI Agent frameworks such as LangChain, AutoGen, CrewAI, or similar technologies. Knowledge and/or experience with technologies like reinforcement learning and/or technologies like ontologies, knowledge graphs etc. Ph.D/MS in AI/CS or related fields with a strong focus on AI/ML technologies. At least 5 years of work experience in an applied AI science or AI engineering role within a science-driven product development context. Strong quantitative and qualitative analytical skills. A naturally curious mindset with a proactive approach to learning, experimenting, building, and prototyping. Eagerness to lead and influence the development of cutting-edge intelligent platforms. Why Join Us? At SAI Group, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking. Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI. We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more. We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Show more Show less

Description Participation in user interviews to understand technical and customer needs. Developing front end website architecture based on Palantir Foundry. Designing user interactions on web pages within Palantir Foundry Workshop. Developing back-end code logic that leverages semantic object linking (ontologies) within Palantir Foundry Pipeline Builder, Code Workbook, and Ontology Manager. Creating servers, databases, and datasets for functionality as needed. Ensuring health of data connections and pipelines (utilizing filesystem, JDBC, SFTP, and webhook). Ensuring conformance with security protocols and markings on sensitive data sets. Ensuring responsiveness of web applications developed on low code/no code solutions. Ensuring cross-platform optimization for mobile phones. Seeing through projects from conception to finished product. Meeting both technical and customer needs. Staying abreast of developments in web applications and programming languages. Lead other engineers to develop features on your projects. Develop and train machine learning models. Analyze and preprocess large datasets. Optimize algorithms for performance and scalability. Deploy AI models into production. Collaborate on AI-powered features for applications. Qualifications Bachelor’s degree in computer science, Management Information Systems, Engineering or related field and 4 years Required Strong knowledge in programming languages and coding principles and procedures. Strong knowledge in web development framework. Palantir Foundry experience preferred. Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript. Familiarity with JavaScript libraries such as Lodash, Math.js, Moment, Numeral, and es6-shim. Proficiency with server-side languages for structured data processing; Python, PySpark, Java, Apache Spark, and SparkSQL. Proficiency with AI/ML frameworks, data analysis, and deep learning. Familiarity with database technology such as MySQL, Oracle, MongoDB, and others preferred. Familiarity with analytical tools for business intelligence and data science such as Power BI, Jupyter, and R Studio preferred. Strong organizational and project management skills preferred. Team leadership experience preferred. Strong attention to detail, facilitation, team building, collaboration, organization, and problem-solving skills. Excellent verbal and written communication skills. Ability to work methodically and analytically in a quantitative problem-solving environment. Effective written and oral communication skills. Demonstrated critical thinking skills. Strong knowledge in Microsoft Office Suite (Word, Excel, and PPT). Ability to obtain applicable certifications. Job Information Technology Primary Location India-Maharashtra-Mumbai Schedule: Full-time Travel: No Req ID: 250771 Job Hire Type Experienced Not Applicable #BMI N/A Show more Show less

India - Hyderabad JOB ID: R-216718 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 30, 2025 CATEGORY: Information Systems ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: We are seeking a skilled and creative RShiny Developer with hands-on experience in MarkLogic and graph databases. You will be responsible for designing and developing interactive web applications using RShiny, integrating complex datasets stored in MarkLogic, and leveraging graph capabilities for advanced analytics and knowledge representation. Roles & Responsibilities: Develop interactive dashboards and web applications using RShiny. Connect and query data from MarkLogic, especially leveraging its graph and semantic features (e.g., RDF triples, SPARQL). Design and maintain backend data workflows and APIs. Collaborate with data scientists, analysts, and backend engineers to deliver integrated solutions. Optimize performance and usability of RShiny applications. Functional Skills: Must-Have Skills: Proven experience with R and RShiny in a production or research setting. Proficiency with MarkLogic , including use of its graph database features (triples, SPARQL queries, semantics). Familiarity with XQuery , XPath , or REST APIs for interfacing with MarkLogic. Strong understanding of data visualization principles and UI/UX best practices. Experience with data integration and wrangling. Good-to-Have Skills: Experience with additional graph databases (e.g., Neo4j, Stardog) is a plus. Background in knowledge graphs, linked data, or ontologies (e.g., OWL, RDF, SKOS). Familiarity with front-end frameworks (HTML/CSS/JavaScript) to enhance RShiny applications. Experience in regulated industries (e.g., pharma, finance) or with complex domain ontologies. Professional Certifications (preferred): SAFe Methodology Courses in R, RShiny, and data visualization from reputable institutions (e.g., Johns Hopkins’ “Data Science Specialization” on Coursera) Other Graph Certifications (optional but beneficial) Neo4j Certified Professional (to demonstrate transferable graph database skills) Linked Data and Semantic Web Training (via organizations like W3C or O’Reilly) Soft Skills: Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem-solving and analytical skills. Strong time and task management skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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 3. About you Experience : 5+ years of experience in business data management, information architecture, technology or other related field Functional skills: 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) Technical Skills 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 Languages : English Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null

Job Description: The Wolters Kluwer Digital Experience Group creates products and solutions with Wolters Kluwer businesses around the globe to serve professionals in the Legal, Tax, Heath, ESG, Finance and Compliance sectors. This wide and growing array of solutions supports Wolters Kluwer businesses in building and expanding their online product portfolios. The Digital Experience Group (DXG) provides global leverage of industry and customer insight, driving technology capabilities for local product development. Do you want to use your skills and experience to make a meaningful impact to provide expert solutions in a diverse set of professional domains: healthcare, compliance, legal and regulatory and tax and accounting? Wolters Kluwer is a fast-growing and innovation-driven global company that has successfully made a transition from print publishing to a digitally-driven provider of professional software, online expert content and integrated workflow products. A unique combination of experts, content and data provide the ingredients to create expert solutions based on advanced technologies especially cognitive technologies. Collaborating with product visionaries and experts in healthcare, compliance, legal and tax you will guide advanced solutions that tackle some of the most challenging problems our customers face. We're looking for an Ontology Specialist / Knowledge Engineer who is passionate about delivering the next generation of digital products. You are willing to work with subject matter experts, product leaders, customers and developers to create knowledge organization systems (e.g. vocabularies, taxonomies, etc.) that guides the user experience. Reporting to the Ontology/Knowledge Engineering Manager, this role is part of a centralized function within the Digital Experience Group (DXG) a team supporting a suite of Content Technology tools and services used by the product and content teams in each division. Responsibilities: Support the design and implementation of ontology-driven knowledge frameworks to support AI, search, and content retrieval systems. Develop and maintain taxonomies, knowledge graphs, ontologies, and metadata models, ensuring scalability and alignment with business goals. Ensure adherence to data governance, compliance, and privacy standards, particularly in the use of AI-driven systems. Establish and maintain best practices for ontology versioning, data integration, and knowledge updates, leveraging FAIR and the corporate ontology principles Work closely with teams across Wolters Kluwer to develop data models, focusing on conceptual, logical, and physical models for knowledge representation. Communicate effectively with collaborators from a variety of domain expertise and technical experience; able to clearly describe ontologies, models, and knowledge frameworks, as well ask about requirements, the job to be done, and other clarifying questions Monitor trends in knowledge engineering that can apply to current / future solutions Experience: Bachelor's degree in computer science, library science, linguistic or related experience Has 1+ years experience developing or using knowledge organization systems; such controlled vocabularies, taxonomies Has 1+ years experience developing or using knowledge models based on W3C standards (RDF, OWL, SKOS, etc.) Has 1+ years experience integrating ontologies; such as Dublin Core, FRBR, FOAF, etc. Has 1+ years experience integrating linked data sets in application Strong written and oral communication and presentation skills Abstract thinker with the ability to conceptualize or generalize, and apply the corporate knowledge model to solve business problems in different domains Experience in adoption of knowledge models to the legal, accounting or health domains is desirable Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Show more Show less

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. UX/UI Engineer Live What You Will Do Let’s do this. Let’s change the world. In this vital role We are seeking a creative and detail-oriented UI/UX Engineer – Search to design and build intuitive, responsive, and accessible user experiences for our AI-driven search and knowledge discovery platforms. In this role, you’ll work at the crossroads of design, technology, and science—helping researchers, clinicians, and regulatory professionals quickly find the information they need to make life-saving decisions. You'll bring a strong sense of usability, accessibility, and design-thinking into a highly regulated, data-rich environment. Design elegant, user-friendly interfaces for search platforms that enable users to explore complex scientific and medical data. Translate user research, business needs, and technical requirements into wireframes, mockups, and high-fidelity prototypes Develop responsive and dynamic UI components using modern frontend frameworks (e.g., React, Angular, Vue). Integrate with search backends, APIs, and visualization tools to display search results, filters, ontologies, and metadata. Ensure UI performance, accessibility (WCAG/Section 508 compliance), and cross-browser compatibility. Design intuitive query experiences including search bars, faceted navigation, filters, result ranking, and interactive content previews Collaborate with AI/ML teams to integrate advanced features such as semantic search, auto-suggestions, Q&A interfaces, and generative answers conduct usability testing, A/B testing, and collect user feedback to continuously improve UX. Analyze usage data and search behavior to drive data-informed UX enhancements. Design and deliver high-quality UI/UX solutions for the web Create wireframes, interactive prototypes, and user flows. Conduct user research, usability testing, and competitive analysis to enhance user experience Analyze and identify pain points from the users’ perspective by conducting user research through interviews, observations, Gemba walks and other research methods Create Personas, Journey maps, empathy maps, and process maps of current and to-be state Ensure pixel-perfect, responsive, innovative, and interactive designs across different devices and platforms. Maintain design consistency and adhere to brand guidelines. Create Sketches, Wireframes, Mockups and Prototypes, ranging from low fidelity to high-fidelity based on the needs. Produce pixel-perfect interactive prototypes, Visual style guides, Icons and Red lines (Design specifications for developers) Ensure accessibility, SEO-friendly design, and usability best practices. Prepare and maintain necessary documents. Understand the business objectives and rationales behind high level product features; translate them into user flows, wireframes, mock-ups, and prototypes that lead to intuitive and easy-to-use user experiences Follow Amgen design standards and style guides to produce comprehensive deliverables encompassing user flows and UI wireframes to facilitate software development Familiarity with data mapping, transformation, and ETL processes Proficiency in SQL is highly valued: you don't need to be able to write SQL from scratch, but you should be able to interpret statements to assist in troubleshooting Experience with data governance principles will be highly valued. Understanding of database structures. Experience in overseeing the design and configuration of tests to measure incremental performance as well as configuring metadata to enable their measurement. How data can be used to power personalized experiences. The tools you will be using will include Jira, Figma, Lucidchart, CSS HTML, JavaScript expertise in creating intuitive, user-friendly interfaces and seamless user experiences. Convert complex requirements into elegant, intuitive, and functional designs. Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently. Informing various stakeholders about any problems with the current technical solutions being implemented. Take ownership and accountability of the deliverables Basic Qualifications: Degree in computer science & engineering preferred with 6-8 years of software development experience Minimum 3+years of experience as a UI-UX designer Relevant experience or education in UX Design, Product Design Hands on experience with JavaScript, CSS HTML, Lucidchart, Figma designing, React Framework Redux, No SQL, Cloud CI/CD build pipelines Proficient in programming language React Framework Redux, GraphQL, RESTful API Development, Swagger / OpenAPI, Java Microservices API, Java Crawlers, TypeScript, Fast Python, Java Script, SQL/NoSQL, Dynamo DB, S3, Databricks, RDS, GCP Cloud Search, Solr Search, GCP Cloud engine Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Preferred Qualifications: Experience in HTML, CSS, and JavaScript for developing basic static re-usable UI components Experience in Angular & React.js for creating reusable components, Databricks, SQL Experience with Web site development, understanding of web site localization process Experience with DevOps CICD build and deployment pipeline Experience in Agile software development methodologies Ability to communicate all phases of UX design, from initial concept through detailed screen designs. Excellent interaction design skills. Experience designing for technical or expert users. Detail oriented & Critical thinker. Problem solver, empathetic and is user centric Good To Have Skills Willingness to work on AI Applications Experience in Java, Python, Solr search, data bricks, RDS Experience GXP Search Engine/ Solr Search Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, Dynamo DB, S3 Experience with LangChain or LIamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What You Can Expect From Us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking a skilled and creative RShiny Developer with hands-on experience in MarkLogic and graph databases. You will be responsible for designing and developing interactive web applications using RShiny, integrating complex datasets stored in MarkLogic, and leveraging graph capabilities for advanced analytics and knowledge representation. Roles & Responsibilities: Develop interactive dashboards and web applications using RShiny. Connect and query data from MarkLogic, especially leveraging its graph and semantic features (e.g., RDF triples, SPARQL). Design and maintain backend data workflows and APIs. Collaborate with data scientists, analysts, and backend engineers to deliver integrated solutions. Optimize performance and usability of RShiny applications. Functional Skills: Must-Have Skills: Proven experience with R and RShiny in a production or research setting. Proficiency with MarkLogic, including use of its graph database features (triples, SPARQL queries, semantics). Familiarity with XQuery, XPath, or REST APIs for interfacing with MarkLogic. Strong understanding of data visualization principles and UI/UX best practices. Experience with data integration and wrangling. Good-to-Have Skills: Experience with additional graph databases (e.g., Neo4j, Stardog) is a plus. Background in knowledge graphs, linked data, or ontologies (e.g., OWL, RDF, SKOS). Familiarity with front-end frameworks (HTML/CSS/JavaScript) to enhance RShiny applications. Experience in regulated industries (e.g., pharma, finance) or with complex domain ontologies. Professional Certifications (preferred): SAFe Methodology Courses in R, RShiny, and data visualization from reputable institutions (e.g., Johns Hopkins’ “Data Science Specialization” on Coursera) Other Graph Certifications (optional But Beneficial) Neo4j Certified Professional (to demonstrate transferable graph database skills) Linked Data and Semantic Web Training (via organizations like W3C or O’Reilly) Soft Skills: Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem-solving and analytical skills. Strong time and task management skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Hello! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Analytics at Innovaccer Our analytics team is dedicated to weaving analytics and data science magics across our products. They are the owners and custodians of intelligence behind our products. With their expertise and innovative approach, they play a crucial role in building various analytical models (including descriptive, predictive, and prescriptive) to help our end-users make smart decisions. Their focus on continuous improvement and cutting-edge methodologies ensures that they're always creating market leading solutions that propel our products to new heights of success. If analytics is your game, then this team is just the right place for you. About the Role We at Innovaccer are looking for a Director-Clinical Informatics and you need to have structured problem-solving skills, strong analytical abilities, willingness to take initiatives and drive them, excellent verbal and written communication skills, and high levels of empathy towards internal and external stakeholders, among other things.The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions.Data is our bread and butter for innovation. We are looking for a leader who will own and manage the clinical ontologies at Innovaccer. He/She will also help Innovaccer build clinical workflows, and care protocols to facilitate clinical decision support at the point of care. A Day in the Life Built a new product development pipeline aligning the company’s portfolio with market insights across persona using clinical decision support in EHRs.Owned market research and built business cases to enable prioritization and build/buy/partner assessment by executive-level innovation governance. Worked successfully in a matrixed environment across business units to understand the big picture,build cross-functional relationships, and leverage content assets to solve customer (internal and external) problems. Worked on a pioneering FHIR-based, EHR-integrated, patient context specific, evidence-based guideline solution to reduce care variability. Solid understanding of clinical informatics standards (FHIR, CCDA,CDS Hooks, etc.) and terminologies (RxNorm, LOINC, SNOMED, etc.) Built a successful Clinical Quality Improvement program for assessing clinical credibility of Nuance’s NLP engines for clinical documentation quality. Created buy-in from executive leadership and cross-functional alignment among stakeholders from product, engineering, and the implementation/customer success teams. Owned the creation of analytics and quality metrics for provider and payor benchmarking and its monetization, for the speech recognition and revenue cycle products. Worked with the CMO, CMIOs, clinical documentation specialists, and the Product-Engineering team to productize them Lead development of clinical content for clinical decision support (CDS) to improve clinical documentation. Collaborate with clinical informaticists, data scientists,, clinical SMEs, product, and engineering teams to build CDS solutions with a deep understanding of the EHR workflow. Managing and defining clinical ontologies and implementing industry best practices of building value sets. The role involves client interaction during US hours, so you should be comfortable working in that time zone What You Need Advanced healthcare degree (MD, PharmD, RN, or Master's in Health Informatics) with 10+ years of clinical informatics experience and 5+ years in managerial/leadership roles Deep technical expertise in clinical informatics standards (FHIR, HL7, CCDA, CDS Hooks) and terminologies (SNOMED CT, LOINC, RxNorm) with hands-on EHR experience Proven track record of implementing clinical decision support systems, EHR integrations, and healthcare analytics platforms in complex healthcare environments Strong clinical knowledge with understanding of care delivery processes, evidence-based medicine, clinical workflows, and regulatory requirements (HIPAA, CMS programs) We offer competitive benefits to set you up for success in and outside of work. Here’s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure— extending the human touch in healthcare. For more information, visit www.innovaccer.com .Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web . Show more Show less

India - Hyderabad JOB ID: R-213374 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 05, 2025 CATEGORY: Information Systems Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Product Manager - Content Curator Live What you will do Let’s do this. Let’s change the world. In this vital role We are seeking a detail-oriented and research-savvy Content Curator to support our enterprise Search Program within the pharmaceutical sector. This role is critical to improving how scientists, researchers, clinicians, and business teams discover relevant, accurate, and well-structured information across vast internal and external data sources. You will curate, classify, and optimize content to ensure it is accessible, contextual, and aligned with regulatory standards. Curate scientific, clinical, regulatory, and commercial content for use within internal search platforms. Sourcing and aggregating relevant content across various platforms. Ensure high-value content is properly tagged, described, and categorized using standard metadata and taxonomies. Identify and fill content gaps based on user needs and search behavior. Organizing and scheduling content publication to maintain consistency. Analyzing content performance and making data-driven decisions to optimize engagement Provide feedback and input on synonym lists, controlled vocabularies, and NLP enrichment tools Apply and help maintain consistent metadata standards, ontologies, and classification schemes (e.g., MeSH, SNOMED, MedDRA). Work with taxonomy and knowledge management teams to evolve tagging strategies and improve content discoverability. Capture and highlight the best content from a wide range of topics Stay up-to-date on best practices and make recommendations for content strategy Edit and optimize content for search engine optimization Perform quality assurance checks on all content before publication Identify and track metrics to measure the success of content curation efforts Review and curate content from a wide variety of categories with a focus Understanding of fundamental data structures and algorithms Understanding how to optimize content for search engines is important for visibility. Experience in identifying, organizing, and sharing content. Ability to clearly and concisely communicate complex information. Ability to analyze data and track the performance of content. Ability to quickly adapt to changing information landscapes and find new resources. A deep understanding of Google Cloud Platform services and technologies is crucial and will be an added advantage Check and update digital assets regularly and, if needed, modify their accessibility and security settings Investigate, secure, and properly document permission clearance to publish data, graphics, videos, and other media Develop and manage a system for storing and organizing digital material Convert collected assets to a different digital format and discard the material that is no longer relevant or needed Investigate new trends and tools connected with the generation and curation of digital material Basic Qualifications: Degree in Data Management, Mass communication and computer science & engineering preferred with 9-12 years of software development experience 5+ years of experience in (digital) content curation or a related position Excellent organizational and time-management skills. Ability to analyze data and derive insights for content optimization. Familiarity with metadata standards, taxonomy tools, and content management systems. Ability to interpret scientific or clinical content and structure it for digital platforms. Ability to analyze data and derive insights for content optimization. Exceptional written and verbal communication skills. Experience in Content Management Systems (CMS), SEO, Google Analytics, GXP Search Engine/ Solr Search, enterprise search platforms, data bricks Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Exceptional written and verbal communication skills. Excellent organizational and time-management skills. Preferred Qualifications: Experience with enterprise search platforms (e.g., Lucene, Elasticsearch, Coveo, Sinequa). Experience with GCP Cloud/AWS cloud /Azure Cloud Experience GXP Search Engine/ Solr Search Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, Dynamo DB, S3 Experience in Agile software development methodologies Good to Have Skills Willingness to work on AI Applications Experience with popular large language models Experience with Langchain or llamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What you can expect from us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

India - Hyderabad JOB ID: R-206355 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Feb. 07, 2025 CATEGORY: Engineering ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: The Associate Software Engineer is responsible for designing, developing, deploying, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions, automating operations, monitoring system health, and responding to incidents to minimize downtime. This role will involve designing complex systems, optimizing content storage solutions, and integrating third-party services to deliver robust GenAI content authoring and data mapping platforms for pharmaceutical labeling standards. You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, structured content management, and integrated data to automate the creation, review, and approval of regulatory content. Roles & Responsibilities: Write clean, efficient, and maintainable code for GenAI content authoring and management systems. Build APIs and services to support GenAI content retrieval, storage, and rendering. Work on both front-end and back-end components of the labeling content solutions, creating and integrating React user interfaces and configurations with back-end services in Python. Deploy and manage labeling content solution infrastructure using Infrastructure-as-Code, including but not limited to cloud services like AWS RDS, DynamoDB, S3, Lambda, and ECS. Assist with the ongoing maintenance of the system, including bug fixes, system upgrades, and enhancements. Participate in technical discussions, code and design reviews to help drive the architecture and implementation of new features. Create and maintain documentation on software architecture, design, and deployment. Stay updated with the latest trends and technologies in content authoring and management, and related fields. Work closely with product team, business team, and other stakeholders. Basic Qualifications and Experience: Bachelor’s degree and 0 to 3 years of Computer Science, IT or related field experience OR Diploma and 4 to 7 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills: Strong technical background, including understanding software development processes, databases, and connected systems that require ontologies and data dictionaries to interoperate. Proficiency in one or more programming languages such as Java, Python, or JavaScript and familiarity with API-driven data delivery and mapping to ontologies. Experience working with databases (SQL/NoSQL). Experience with product backlog management (e.g., Jira) and collaboration tools. Good-to-Have Skills: Experience building and supporting GenAI solutions. Experience configuring and maintaining cloud infrastructure for full-stack software solutions, including Infrastructure-as-Code. Experience with CI/CD pipelines, version control tools and working in an Agile environment. Understanding of international pharmaceutical regulatory submission guidelines and processes (eCTD, ICH, CDS, USPI, etc.) Professional Certifications: NA Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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 Title: Data Scientist – AI Solutions Business Unit: EXL Digital - AI & Analytics Primary Domain: Insurance / Healthcare / Financial Services Job Summary At EXL Digital , we’re pushing the frontiers of AI and NLP by building intelligent, scalable, and production-ready solutions that solve real-world business problems. We’re looking for Data Scientists who are passionate about applying state-of-the-art techniques, especially in Natural Language Processing (NLP) and Large Language Models (LLMs) —to extract insights and automate processes across unstructured data formats such as text, documents, images, and speech. This role offers a unique opportunity to build and deploy AI solutions across insurance and other domains , using a blend of classical techniques and cutting-edge transformer-based architectures. Key Responsibilities Design, develop, and deploy AI/NLP solutions to solve diverse business challenges—particularly in areas like text classification, information extraction, summarization, and semantic search Own the full model development lifecycle: Select appropriate algorithms (rule-based, statistical, deep learning, transformer-based) Conduct exploratory data analysis and feature engineering Train and fine-tune models using tools such as Hugging Face Transformers, spaCy, and open-source LLMs Integrate external ontologies, taxonomies, and domain knowledge for enhanced performance Validate and monitor solution quality using real-world feedback data Work closely with ML engineers and DevOps teams to operationalize models (on cloud and on-prem environments) Hands-on experience on deploying solutions to cloud-native AI platforms capable of handling large-scale data pipelines and complex machine learning models (AWS/Azure/GCP) Collaborate with clients and business stakeholders to scope and refine requirements, validate model behavior, and ensure successful deployment Explore and experiment with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) techniques for advanced use cases Contribute to building reusable components, best practices, and scalable frameworks for AI delivery Qualifications 4–8 years of hands-on experience in data science, with a focus on NLP, deep learning, and machine learning applications Strong programming skills in Python; experience with relevant libraries such as scikit-learn, spaCy, NLTK, PyTorch, TensorFlow, or Hugging Face Proven experience in delivering NLP/LLM-based solutions, preferably involving unstructured data from insurance or financial services Familiarity with cloud platforms (AWS, Azure, or GCP) and experience with deploying AI models to production Ability to handle end-to-end ownership of solutions, from POC to deployment Prior experience in consulting or client-facing data science roles is a plus Exposure to document databases (e.g., MongoDB), graph databases, or vector databases (e.g., FAISS, Pinecone) is a bonus Education: Bachelor’s or Master’s degree in Engineering, Computer Science, Statistics, or a related field; MBA or degree from Tier 1 institution is a plus What We Offer Work on real-world AI projects that go beyond experimentation—drive live deployments with business impact Access to top-tier mentorship, training, and learning opportunities in AI/ML/NLP and cloud technologies Exposure to a wide variety of business use cases in insurance, healthcare, and financial services A collaborative, fast-paced, and intellectually stimulating environment Structured career growth paths, with opportunities to develop technical and business consulting expertise Be part of a global team of AI/ML professionals, working at the cutting edge of innovation 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

About the Company Our Singapore-based client, with operations in the US and India is a specialized Strategy Analytics Consulting firm. The client combines two distinctive competencies to deliver its services: Strategy Consulting and Artificial Intelligence Technologies. A specialized Strategy Analytics Consulting firm enabled by its technology-driven service is built on a proprietary AI platform that collects, contextualizes, and analyzes multiple streams of data and signals. The platform utilizes innovative methodologies such as taxonomies, ontologies, knowledge graphs, natural language processing, machine learning, and graph analytics to support the craft of strategy. Location & work - Gurgaon, Delhi NCR Profile - Business Development Manager Preferred experience - 10+ years The Role: This role will require you to do targeted prospecting and hunting clients in the US and European markets, based on specific research, sending curated communication to prospects. You will market AI based products and services to CXOs of Private Equity firms, Investment Banks, and Fortune 500 corporations using bespoke marketing methods. This will entail working with some of the sharpest minds in the Industrial and TMT sectors focused on Growth Strategy and M&A. Key Responsibilities: * Source relevant clients using appropriate available data or through outreach campaigns, social media and inbound lead management * Research accounts, identify key players and generate interest * Qualifying relevant accounts * Identifying contacts in the qualified accounts * Outreach, follow-up, and set-up meetings * Bespoke content creation for the identified qualified accounts * Perform effective online demos to prospects (for cognitive applications) * Achieve your quarterly quotas & help your team achieve respective sales targets * Maintain and expand your database of prospects within your assigned territory * Managing existing clients * Building database of relevant clients * Review with sales partners on a weekly basis * Industry and market research, to stay abreast of trends and help pitch/ position services Must- have Qualifications: * Bachelor’s degree (Engineering/ Commerce/ Economics) from a top-tier university (such as IITs, NITs, DU, etc.); and an MBA from a reputed institution in India / abroad. * Must have at least 10+ years of relevant experience in Business Development/ Sales/Inside Sales/Solution selling * Prior international Inside Sales experience, in the consulting space, especially in the US market * Selling/Account management/Business development exp. in a closing/quota bearing role * High degree of proficiency in MS Office Suite (PowerPoint, Word, Excel etc.) * Excellent business writing skills including presentation skills * Excellent communication skills – Ability to converse in English with ease * Detail-oriented with high standards for written and visual presentation of information. Excellent research, analytical, and numerical skills. * Ability to develop and articulate strategic recommendations based on rigorous data analysis. * Strong inter-personal skills: ability to work with teams in a timeline driven high pressure environment (typical of consulting firms); * Self-driven with a high level of motivation and energy. Preferred Experience: * Willing to overlap with timings in the US and UK * A strong ‘can do’ attitude; ability and willingness to work in a small and fast-growing consulting environment * Logical thought process to think through a problem and develop solutions. * Ability to pro-actively identify ways to contribute to the firm’s goals & mission Show more Show less

Lead Financial 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 consistently monitor for any industry, regulatory and vendor feed changes that may affect 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. What We Value Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest. 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 At SimCorp, we believe in rewarding and supporting our employees. We offer an attractive salary package, including a robust bonus scheme, comprehensive healthcare (medical insurance, pension plans, and free transportation), and a major emphasis on work-life balance with flexible work hours and a hybrid work model. We are proud to be recognized as a "Great Place to Work" and are committed to encourage individual growth with personalized development plans and opportunities for career advancement. 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 an exciting 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 eager to continually improve our talent acquisition process and make 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

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Product Manager - Content Curator Live What You Will Do Let’s do this. Let’s change the world. In this vital role We are seeking a detail-oriented and research-savvy Content Curator to support our enterprise Search Program within the pharmaceutical sector. This role is critical to improving how scientists, researchers, clinicians, and business teams discover relevant, accurate, and well-structured information across vast internal and external data sources. You will curate, classify, and optimize content to ensure it is accessible, contextual, and aligned with regulatory standards. Curate scientific, clinical, regulatory, and commercial content for use within internal search platforms. Sourcing and aggregating relevant content across various platforms. Ensure high-value content is properly tagged, described, and categorized using standard metadata and taxonomies. Identify and fill content gaps based on user needs and search behavior. Organizing and scheduling content publication to maintain consistency. Analyzing content performance and making data-driven decisions to optimize engagement Provide feedback and input on synonym lists, controlled vocabularies, and NLP enrichment tools Apply and help maintain consistent metadata standards, ontologies, and classification schemes (e.g., MeSH, SNOMED, MedDRA). Work with taxonomy and knowledge management teams to evolve tagging strategies and improve content discoverability. Capture and highlight the best content from a wide range of topics Stay up-to-date on best practices and make recommendations for content strategy Edit and optimize content for search engine optimization Perform quality assurance checks on all content before publication Identify and track metrics to measure the success of content curation efforts Review and curate content from a wide variety of categories with a focus Understanding of fundamental data structures and algorithms Understanding how to optimize content for search engines is important for visibility. Experience in identifying, organizing, and sharing content. Ability to clearly and concisely communicate complex information. Ability to analyze data and track the performance of content. Ability to quickly adapt to changing information landscapes and find new resources. A deep understanding of Google Cloud Platform services and technologies is crucial and will be an added advantage Check and update digital assets regularly and, if needed, modify their accessibility and security settings Investigate, secure, and properly document permission clearance to publish data, graphics, videos, and other media Develop and manage a system for storing and organizing digital material Convert collected assets to a different digital format and discard the material that is no longer relevant or needed Investigate new trends and tools connected with the generation and curation of digital material Basic Qualifications: Degree in Data Management, Mass communication and computer science & engineering preferred with 9-12 years of software development experience 5+ years of experience in (digital) content curation or a related position Excellent organizational and time-management skills. Ability to analyze data and derive insights for content optimization. Familiarity with metadata standards, taxonomy tools, and content management systems. Ability to interpret scientific or clinical content and structure it for digital platforms. Ability to analyze data and derive insights for content optimization. Exceptional written and verbal communication skills. Experience in Content Management Systems (CMS), SEO, Google Analytics, GXP Search Engine/ Solr Search, enterprise search platforms, data bricks Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Exceptional written and verbal communication skills. Excellent organizational and time-management skills. Preferred Qualifications: Experience with enterprise search platforms (e.g., Lucene, Elasticsearch, Coveo, Sinequa). Experience with GCP Cloud/AWS cloud /Azure Cloud Experience GXP Search Engine/ Solr Search Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, Dynamo DB, S3 Experience in Agile software development methodologies Good To Have Skills Willingness to work on AI Applications Experience with popular large language models Experience with Langchain or llamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What You Can Expect From Us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Show more Show less

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Specialist, Product Experience Design Senior Specialist - Customer Experience Designer Job Description Summary We are looking for an experienced User Experience/Interaction Designer passionate about the possibilities of data and data-driven experience design with good knowledge and experience of User Interface Design to join our rapidly growing, highly-innovative data and services Product Development team at our development center in Pune. The design function works as part of wider cross-functional teams that form organically around data product ideas – collectively contributing to the rapid iteration of Prototypes and MVPs (Minimal Viable Product), mainly in the B2B and B2B2C arenas. Each design iteration is exposed to end-users at each cycle of our rapid design-test-redesign process, to ensure optimum user traction. Prototype and MVP outputs include dashboards; widgets; chatbots; web applications; mobile applications; VUI voice interfaces; digital assistants; etc. – all in service of solving complex business challenges and with an ever increasing emphasis on Artificial Intelligence (AI) and Machine Learning (ML). Role Design of Proof-of-Concepts and Minimum Viable Data Products (MVPs) using human-centric design principles and rapid prototyping (Lean UX and Design Thinking) Participate in "Design Thinking" workshops – collaborating cross-functionally with industry verticals, regional leads and end-users to ensure optimal digital data products Explore the “art-of-the-possible” in the era of Big Data, Artificial Intelligence (AI) and Machine Learning (ML) – whilst always maintaining regulatory compliance Leverage existing – and contribute net new – design patterns to Mastercard’s design pattern library Help define the next generation of data and data-driven products – and through doing so, help shape the future of Mastercard and its growth Creation of a cohesive and compelling visual language across diverse form factors: web, mobile and internet of things Work on future state conceptual designs, driving experimentation that improves the quality of product design overall. Work closely with key partners from brand & marketing, alongside the broader user experience team to drive delightful and highly usable transactional experiences leveraging the broader visual language for MasterCard. Work closely with our technology team to define implementation standard for our products leveraging modern presentation layer practices such as adaptive/responsive web and current and forward thinking technologies. Ensure that designs deliver an appropriate balance of optimizing business objectives & user engagement, in close partnership with product managers. Liaise with regional and country teams to ensure that designs are reflective of the diversity of needs for a global user base Drive VXD design across a broader ecosystem, where experiences will require tailoring to meet the needs of both MasterCard customers and end consumers Help define the next generation of data and data-driven products and their visualization – and through doing so, help shape the future of Mastercard and its growth Interaction Design Required Experience / Knowledge / Skills (Core) Experience developing User Archetypes and Personas and user journeys to inform product design decisions Experience in rapid prototyping (Lean UX and Design Thinking) Experience in articulating elegant and engaging experiences using sketches, storyboards, information architecture blueprints and prototypes Experience in the implementation of creative, useable and compelling visual mockups and prototypes. Experience working with complex information architectures Experience of design-experiences across multiple media Experience using prototyping/wireframing tools such as Figma, Sketch, Adobe Experience Design, Adobe Illustrator etc. An understanding of complex information architectures for digital applications Visual Design Additional Experience / Knowledge / Skills Experience in articulating elegant and engaging visual experiences using sketches, storyboards, and within prototypes Highly proficient in the creation of useable, compelling and elegant visual mockups and prototypes. Experience of visual design across multiple media and form factors: web; mobile; Internet-of-Things (IOT) Extensive and demonstrable experience using leading VXD software packages such as Adobe Creative Cloud / Suite (Photoshop, InDesign, Illustrator etc.) / Experience Design, Serif DrawPlus, Corel DRAW Graphics Suite / PaintShopPro, Art Rage, Xara or equivalent An understanding of complex information architectures for visual representation Any experience in motion graphic design is a strong plus Any experience in 3D modeling also a strong plus Research Experience consuming UX research Experience in leading “Design Thinking” workshops with customers to identify requirements and ideate on potential product solutions. Ability to identify best-in-class user experience through competitor analysis Experience of iterative “design-test-re-design” methodology to collect real user feedback to incorporate back into the design Candidate Prior experience working in a world-beating UX team Experience working/multi-tasking in an extremely fast-paced startup-like environment Experience in client-facing engagements, preferably in leading them Empathetic champion of the user – passionate about the detail of great usability, interaction design and aesthetics to give the best possible UX Passionate about the possibility of data driven experiences – so-called “emergent ontologies” (patterns in the data) driving UX and UI. Passionate about the potential for data, Artificial Intelligence (AI) and Machine Learning ML) Defensible point-of-view on and Adaptive v Responsive v Liquid/Fluid UI Defensible point-of-view on gamification Interest in VUIs (Voice Interfaces) Demonstrable knowledge of UX and Interaction Design heuristics and best practices: e.g. Lean UX; Mobile First etc. Demonstrable knowledge of ergonomic and usability best practices Bachelors or Masters Degree in Design for Interactive Media, or equivalent experience World-beating portfolio covering multiple form-factors: desktop; tablet; mobile; wearable; other Demonstrable commitment to learning: insatiable to discover and evaluate new concepts and technologies to maximize design possibility. #AI3 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. 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We are seeking a skilled Business Analyst to join our team. This role requires strong expertise in gathering requirements, writing detailed and effective user stories, and working with Common Information Models (CIM) to ensure consistent, standardized information across systems. The ideal candidate will bridge business needs and technical solutions through clear, structured documentation and collaboration. Responsibilities Work closely with stakeholders, product managers, and technical teams to gather and clarify business requirements. Develop high-quality, clear, and detailed user stories, acceptance criteria, and process flows. Apply Common Information Model (CIM) principles to ensure data and service standards across multiple systems. Map business concepts and entities to the CIM, identifying gaps and proposing extensions or adjustments. Facilitate and participate in requirements workshops, interviews, and review sessions. Analyze current-state business processes and data models to recommend improvements and ensure alignment with CIM. Collaborate with architects, developers, and testers to ensure solutions meet both functional and data modeling needs. Support product backlog grooming, sprint planning, and review sessions in an Agile/Scrum environment. Maintain traceability of requirements through the project lifecycle. Communicate complex concepts in a clear and simple manner to both technical and non-technical audiences. Qualifications Bachelors degree in Business Administration, Computer Science, Information Systems, or a related field. 3+ years of experience as a Business Analyst, preferably in Insurance domains involving complex data Strong hands-on experience in writing user stories, epics, and acceptance criteria. Practical experience with Common Information Models (CIM), domain-driven design (DDD), or similar standardized models. Familiarity with data modeling concepts such as entities, attributes, relationships, and ontologies. Working knowledge of Agile frameworks (Scrum, SAFe, etc.). Proficiency with tools like Jira, Confluence, Enterprise Architect, or equivalent. Strong analytical, problem-solving, and critical thinking skills. Excellent communication, collaboration, and stakeholder management skills. Preferred Skills Exposure to UML, BPMN, or other process modeling techniques. Experience with APIs, integration projects, or data governance initiatives. Certification in Agile (e.g., CSM, CSPO) or Business Analysis (e.g., CBAP, CCBA) is a plus. Show more Show less