169 Ontologies Jobs - Page 2

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 role is responsible for developing and maintaining the data architecture of the Enterprise Data Fabric. Data Architecture includes the activities required for data flow design, data modeling, physical data design, query performance optimization. The Data Modeler position is responsible for developing business information models by studying the business, our data, and the industry. This role involves creating data models to realize a connected data ecosystem that empowers consumers. The Data Modeler drives cross-functional data interoperability, enables efficient decision-making, and supports AI usage of Foundational Data. Roles & Responsibilities: Develop and maintain conceptual logical, and physical data models and to support business needs Contribute to and Enforce data standards, governance policies, and best practices Design and manage metadata structures to enhance information retrieval and usability Maintain comprehensive documentation of the architecture, including principles, standards, and models Evaluate and recommend technologies and tools that best fit the solution requirements Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Basic Qualifications and Experience: Doctorate / Master’s / Bachelor’s degree with 8-12 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills Data Modeling: Proficiency in creating conceptual, logical, and physical data models to represent information structures. Ability to interview and communicate with business Subject Matter experts to develop data models that are useful for their analysis needs. Metadata Management : Knowledge of metadata standards, taxonomies, and ontologies to ensure data consistency and quality. Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), performance tuning on big data processing Implementing Data testing and data quality strategies. Good-to-Have Skills: Experience with Graph technologies such as Stardog, Allegrograph, Marklogic Professional Certifications (please mention if the certification is preferred or mandatory for the role): Certifications in Databricks are desired Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. 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.

Position Overview Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your Skills And Experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. What you’ll do: We are looking for experienced Knowledge Graph developers who have the following set of technical skillsets and experience. Undertake complete ownership in accomplishing activities and assigned responsibilities across all phases of project lifecycle to solve business problems across one or more client engagements. Apply appropriate development methodologies (e.g.: agile, waterfall) and best practices (e.g.: mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of assignments. Collaborate with other team members to leverage expertise and ensure seamless transitions; Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management. Assist in creating project outputs such as business case development, solution vision and design, user requirements, prototypes, and technical architecture (if needed), test cases, and operations management. Bring transparency in driving assigned tasks to completion and report accurate status. Bring Consulting mindset in problem solving, innovation by leveraging technical and business knowledge/ expertise and collaborate across other teams. Assist senior team members, delivery leads in project management responsibilities. Build complex solutions using Programing languages, ETL service platform, etc. What you’ll bring: Bachelor’s or master’s degree in computer science, Engineering, or a related field. 4+ years of professional experience in Knowledge Graph development in Neo4j or AWS Neptune or Anzo knowledge graph Database. 3+ years of experience in RDF ontologies, Data modelling & ontology development Strong expertise in python, pyspark, SQL Strong ability to identify data anomalies, design data validation rules, and perform data cleanup to ensure high-quality data. Project management and task planning experience, ensuring smooth execution of deliverables and timelines. Strong communication and interpersonal skills to collaborate with both technical and non-technical teams. Experience with automation testing Performance Optimization: Knowledge of techniques to optimize knowledge graph operations like data inserts. Data Modeling: Proficiency in designing effective data models within Knowledge Graph, including relationships between tables and optimizing data for reporting. Motivation and willingness to learn new tools and technologies as per the team’s requirements. Additional Skills: Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations Experience in pharma or life sciences data: Familiarity with pharmaceutical datasets, including product, patient, or healthcare provider data, is a plus. Experience in manufacturing data is a plus Capability to simplify complex concepts into easily understandable frameworks and presentations Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects Travel to other offices as required to collaborate with clients and internal project teams Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

All roles at JumpCloud are Remote unless otherwise specified in the Job Description. About JumpCloud JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud®, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud® is IT Simplified. About the Role: We are seeking a Staff Product Manager with deep expertise in AI, Data Science, and Cybersecurity to lead the development of a transformative Security Data Fabric and Exposure Management Platform (ISPM, ITDR etc). In a world of siloed security tools and scattered data, your mission is to turn data chaos into clarity—helping organizations see, understand, and act on their cyber risk with precision and speed. The JumpCloud access and authentication team is changing the way IT admins and users authenticate to their JumpCloud managed IT resources for a frictionless experience to get work done. The days of the traditional corporate security perimeter are over. Remote work – and the domainless enterprise – are here to stay. As such, we believe securing all endpoints is at the crux of establishing trust, granting resource access, and otherwise managing a modern workforce. Our Cloud Directory Platform supports diverse IT endpoints from devices, SSO applications, infrastructure servers, RADIUS, and LDAP is making it easy for IT admins to manage the authentication required from MFA to zero trust using conditional access based on Identity Trust, Network Trust, Geolocation Trust, and Device Trust based on X509 certificates. If you want to build on this success and drive the future of authentication at JumpCloud come join us. You’ll be at the forefront of designing a next-generation data platform that: Creates a Security Data Fabric to unify signals from across the attack surface Uses AI to resolve entities and uncover hidden relationships Drives real-time Exposure Management to reduce risk faster than adversaries can act You will be responsible for: Define and drive the product strategy for the Security Data Fabric and Exposure Management platform (ISPM, ITDR etc) , aligned with customer needs and business goals Engage with CISOs, security analysts, and risk leaders to deeply understand pain points in exposure management and cyber risk visibility. Translate strategic objectives into clear, actionable product requirements that leverage AI/ML and data science to unify and contextualize security signals Collaborate closely with engineering, data science, UX, sales, and security research to deliver scalable and performant solutions Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics You Have: 10+ years of experience in product management, with at least 5 years in cybersecurity or enterprise AI/data products Deep understanding of AI/ML, data science, entity resolution, and knowledge graphs in practical applications Experience building or integrating security analytics, threat detection, vulnerability management, or SIEM/XDR solutions Ability to untangle the interconnectedness of the complex authentication mess and simplify the same to drive the cross-functional team in the same direction Proven ability to define and deliver complex B2B platforms, especially in data-heavy, high-stakes environments Excellent communication and storytelling skills to align cross-functional teams and influence stakeholders Nice to have: Experience with graph databases, ontologies, or large-scale entity disambiguation Familiarity with security standards (MITRE ATT&CK, CVSS, etc.) and frameworks (NIST CSF, ISO 27001 etc) Prior experience launching products in cloud-native or hybrid enterprise environments Degree in Computer Science, Information Systems or Engineering. MBA is a plus Where you’ll be working/Location: JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description. This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role. Language: JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently. Any additional language requirements will be included in the details of the job description. Why JumpCloud? If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about. One of JumpCloud®'s three core values is to “Build Connections.” To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®. Please note JumpCloud® is not accepting third party resumes at this time. JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Scam Notice: Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment. All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice" #BI-Remote

All roles at JumpCloud are Remote unless otherwise specified in the Job Description. About JumpCloud JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud®, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud® is IT Simplified. About the Role: We are seeking a Staff Product Manager with deep expertise in AI, Data Science, and Cybersecurity to lead the development of a transformative Security Data Fabric and Exposure Management Platform (ISPM, ITDR etc). In a world of siloed security tools and scattered data, your mission is to turn data chaos into clarity—helping organizations see, understand, and act on their cyber risk with precision and speed. The JumpCloud access and authentication team is changing the way IT admins and users authenticate to their JumpCloud managed IT resources for a frictionless experience to get work done. The days of the traditional corporate security perimeter are over. Remote work – and the domainless enterprise – are here to stay. As such, we believe securing all endpoints is at the crux of establishing trust, granting resource access, and otherwise managing a modern workforce. Our Cloud Directory Platform supports diverse IT endpoints from devices, SSO applications, infrastructure servers, RADIUS, and LDAP is making it easy for IT admins to manage the authentication required from MFA to zero trust using conditional access based on Identity Trust, Network Trust, Geolocation Trust, and Device Trust based on X509 certificates. If you want to build on this success and drive the future of authentication at JumpCloud come join us. You’ll be at the forefront of designing a next-generation data platform that: Creates a Security Data Fabric to unify signals from across the attack surface Uses AI to resolve entities and uncover hidden relationships Drives real-time Exposure Management to reduce risk faster than adversaries can act You will be responsible for: Define and drive the product strategy for the Security Data Fabric and Exposure Management platform (ISPM, ITDR etc) , aligned with customer needs and business goals Engage with CISOs, security analysts, and risk leaders to deeply understand pain points in exposure management and cyber risk visibility. Translate strategic objectives into clear, actionable product requirements that leverage AI/ML and data science to unify and contextualize security signals Collaborate closely with engineering, data science, UX, sales, and security research to deliver scalable and performant solutions Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics You Have: 10+ years of experience in product management, with at least 5 years in cybersecurity or enterprise AI/data products Deep understanding of AI/ML, data science, entity resolution, and knowledge graphs in practical applications Experience building or integrating security analytics, threat detection, vulnerability management, or SIEM/XDR solutions Ability to untangle the interconnectedness of the complex authentication mess and simplify the same to drive the cross-functional team in the same direction Proven ability to define and deliver complex B2B platforms, especially in data-heavy, high-stakes environments Excellent communication and storytelling skills to align cross-functional teams and influence stakeholders Nice to have: Experience with graph databases, ontologies, or large-scale entity disambiguation Familiarity with security standards (MITRE ATT&CK, CVSS, etc.) and frameworks (NIST CSF, ISO 27001 etc) Prior experience launching products in cloud-native or hybrid enterprise environments Degree in Computer Science, Information Systems or Engineering. MBA is a plus Where you’ll be working/Location: JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description. This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role. Language: JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently. Any additional language requirements will be included in the details of the job description. Why JumpCloud? If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about. One of JumpCloud®'s three core values is to “Build Connections.” To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®. Please note JumpCloud® is not accepting third party resumes at this time. JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Scam Notice: Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment. All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice" #BI-Remote

All roles at JumpCloud are Remote unless otherwise specified in the Job Description. About JumpCloud JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud®, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud® is IT Simplified. About the Role: We are seeking a Staff Product Manager with deep expertise in AI, Data Science, and Cybersecurity to lead the development of a transformative Security Data Fabric and Exposure Management Platform (ISPM, ITDR etc). In a world of siloed security tools and scattered data, your mission is to turn data chaos into clarity—helping organizations see, understand, and act on their cyber risk with precision and speed. The JumpCloud access and authentication team is changing the way IT admins and users authenticate to their JumpCloud managed IT resources for a frictionless experience to get work done. The days of the traditional corporate security perimeter are over. Remote work – and the domainless enterprise – are here to stay. As such, we believe securing all endpoints is at the crux of establishing trust, granting resource access, and otherwise managing a modern workforce. Our Cloud Directory Platform supports diverse IT endpoints from devices, SSO applications, infrastructure servers, RADIUS, and LDAP is making it easy for IT admins to manage the authentication required from MFA to zero trust using conditional access based on Identity Trust, Network Trust, Geolocation Trust, and Device Trust based on X509 certificates. If you want to build on this success and drive the future of authentication at JumpCloud come join us. You’ll be at the forefront of designing a next-generation data platform that: Creates a Security Data Fabric to unify signals from across the attack surface Uses AI to resolve entities and uncover hidden relationships Drives real-time Exposure Management to reduce risk faster than adversaries can act You will be responsible for: Define and drive the product strategy for the Security Data Fabric and Exposure Management platform (ISPM, ITDR etc) , aligned with customer needs and business goals Engage with CISOs, security analysts, and risk leaders to deeply understand pain points in exposure management and cyber risk visibility. Translate strategic objectives into clear, actionable product requirements that leverage AI/ML and data science to unify and contextualize security signals Collaborate closely with engineering, data science, UX, sales, and security research to deliver scalable and performant solutions Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics You Have: 10+ years of experience in product management, with at least 5 years in cybersecurity or enterprise AI/data products Deep understanding of AI/ML, data science, entity resolution, and knowledge graphs in practical applications Experience building or integrating security analytics, threat detection, vulnerability management, or SIEM/XDR solutions Ability to untangle the interconnectedness of the complex authentication mess and simplify the same to drive the cross-functional team in the same direction Proven ability to define and deliver complex B2B platforms, especially in data-heavy, high-stakes environments Excellent communication and storytelling skills to align cross-functional teams and influence stakeholders Nice to have: Experience with graph databases, ontologies, or large-scale entity disambiguation Familiarity with security standards (MITRE ATT&CK, CVSS, etc.) and frameworks (NIST CSF, ISO 27001 etc) Prior experience launching products in cloud-native or hybrid enterprise environments Degree in Computer Science, Information Systems or Engineering. MBA is a plus Where you’ll be working/Location: JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description. This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role. Language: JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently. Any additional language requirements will be included in the details of the job description. Why JumpCloud? If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about. One of JumpCloud®'s three core values is to “Build Connections.” To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®. Please note JumpCloud® is not accepting third party resumes at this time. JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Scam Notice: Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment. All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice" #BI-Remote

All roles at JumpCloud are Remote unless otherwise specified in the Job Description. About JumpCloud JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud®, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud® is IT Simplified. About the Role: We are seeking a Staff Product Manager with deep expertise in AI, Data Science, and Cybersecurity to lead the development of a transformative Security Data Fabric and Exposure Management Platform (ISPM, ITDR etc). In a world of siloed security tools and scattered data, your mission is to turn data chaos into clarity—helping organizations see, understand, and act on their cyber risk with precision and speed. The JumpCloud access and authentication team is changing the way IT admins and users authenticate to their JumpCloud managed IT resources for a frictionless experience to get work done. The days of the traditional corporate security perimeter are over. Remote work – and the domainless enterprise – are here to stay. As such, we believe securing all endpoints is at the crux of establishing trust, granting resource access, and otherwise managing a modern workforce. Our Cloud Directory Platform supports diverse IT endpoints from devices, SSO applications, infrastructure servers, RADIUS, and LDAP is making it easy for IT admins to manage the authentication required from MFA to zero trust using conditional access based on Identity Trust, Network Trust, Geolocation Trust, and Device Trust based on X509 certificates. If you want to build on this success and drive the future of authentication at JumpCloud come join us. You’ll be at the forefront of designing a next-generation data platform that: Creates a Security Data Fabric to unify signals from across the attack surface Uses AI to resolve entities and uncover hidden relationships Drives real-time Exposure Management to reduce risk faster than adversaries can act You will be responsible for: Define and drive the product strategy for the Security Data Fabric and Exposure Management platform (ISPM, ITDR etc) , aligned with customer needs and business goals Engage with CISOs, security analysts, and risk leaders to deeply understand pain points in exposure management and cyber risk visibility. Translate strategic objectives into clear, actionable product requirements that leverage AI/ML and data science to unify and contextualize security signals Collaborate closely with engineering, data science, UX, sales, and security research to deliver scalable and performant solutions Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics You Have: 10+ years of experience in product management, with at least 5 years in cybersecurity or enterprise AI/data products Deep understanding of AI/ML, data science, entity resolution, and knowledge graphs in practical applications Experience building or integrating security analytics, threat detection, vulnerability management, or SIEM/XDR solutions Ability to untangle the interconnectedness of the complex authentication mess and simplify the same to drive the cross-functional team in the same direction Proven ability to define and deliver complex B2B platforms, especially in data-heavy, high-stakes environments Excellent communication and storytelling skills to align cross-functional teams and influence stakeholders Nice to have: Experience with graph databases, ontologies, or large-scale entity disambiguation Familiarity with security standards (MITRE ATT&CK, CVSS, etc.) and frameworks (NIST CSF, ISO 27001 etc) Prior experience launching products in cloud-native or hybrid enterprise environments Degree in Computer Science, Information Systems or Engineering. MBA is a plus Where you’ll be working/Location: JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description. This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role. Language: JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently. Any additional language requirements will be included in the details of the job description. Why JumpCloud? If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about. One of JumpCloud®'s three core values is to “Build Connections.” To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®. Please note JumpCloud® is not accepting third party resumes at this time. JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Scam Notice: Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment. All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice" #BI-Remote

All roles at JumpCloud are Remote unless otherwise specified in the Job Description. About JumpCloud JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud®, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud® is IT Simplified. About the Role: We are seeking a Staff Product Manager with deep expertise in AI, Data Science, and Cybersecurity to lead the development of a transformative Security Data Fabric and Exposure Management Platform (ISPM, ITDR etc). In a world of siloed security tools and scattered data, your mission is to turn data chaos into clarity—helping organizations see, understand, and act on their cyber risk with precision and speed. The JumpCloud access and authentication team is changing the way IT admins and users authenticate to their JumpCloud managed IT resources for a frictionless experience to get work done. The days of the traditional corporate security perimeter are over. Remote work – and the domainless enterprise – are here to stay. As such, we believe securing all endpoints is at the crux of establishing trust, granting resource access, and otherwise managing a modern workforce. Our Cloud Directory Platform supports diverse IT endpoints from devices, SSO applications, infrastructure servers, RADIUS, and LDAP is making it easy for IT admins to manage the authentication required from MFA to zero trust using conditional access based on Identity Trust, Network Trust, Geolocation Trust, and Device Trust based on X509 certificates. If you want to build on this success and drive the future of authentication at JumpCloud come join us. You’ll be at the forefront of designing a next-generation data platform that: Creates a Security Data Fabric to unify signals from across the attack surface Uses AI to resolve entities and uncover hidden relationships Drives real-time Exposure Management to reduce risk faster than adversaries can act You will be responsible for: Define and drive the product strategy for the Security Data Fabric and Exposure Management platform (ISPM, ITDR etc) , aligned with customer needs and business goals Engage with CISOs, security analysts, and risk leaders to deeply understand pain points in exposure management and cyber risk visibility. Translate strategic objectives into clear, actionable product requirements that leverage AI/ML and data science to unify and contextualize security signals Collaborate closely with engineering, data science, UX, sales, and security research to deliver scalable and performant solutions Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics Champion a data-centric mindset—shaping features like entity resolution, risk scoring, and automated remediation workflows powered by advanced analytics You Have: 10+ years of experience in product management, with at least 5 years in cybersecurity or enterprise AI/data products Deep understanding of AI/ML, data science, entity resolution, and knowledge graphs in practical applications Experience building or integrating security analytics, threat detection, vulnerability management, or SIEM/XDR solutions Ability to untangle the interconnectedness of the complex authentication mess and simplify the same to drive the cross-functional team in the same direction Proven ability to define and deliver complex B2B platforms, especially in data-heavy, high-stakes environments Excellent communication and storytelling skills to align cross-functional teams and influence stakeholders Nice to have: Experience with graph databases, ontologies, or large-scale entity disambiguation Familiarity with security standards (MITRE ATT&CK, CVSS, etc.) and frameworks (NIST CSF, ISO 27001 etc) Prior experience launching products in cloud-native or hybrid enterprise environments Degree in Computer Science, Information Systems or Engineering. MBA is a plus Where you’ll be working/Location: JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description. This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role. Language: JumpCloud® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud®, you will be required to speak and write in English fluently. Any additional language requirements will be included in the details of the job description. Why JumpCloud? If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about. One of JumpCloud®'s three core values is to “Build Connections.” To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO Please submit your résumé and brief explanation about yourself and why you would be a good fit for JumpCloud®. Please note JumpCloud® is not accepting third party resumes at this time. JumpCloud® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Scam Notice: Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment. All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice" #BI-Remote

You will be working as a computational linguist in Pashan, Pune on a full-time contractual basis. The ideal candidate should have an MA in Linguistics/Applied Linguistics with First Class or Equivalent Grade from a UGC-Approved Reputable University, or an MPhil/PhD in Linguistics/Applied Linguistics with formal training in Computational Linguistics. Research publications in NLP, Semantics/Lexicology, or Discourse Studies are highly desirable. Your skill sets should include proficiency in Hindi and other Indian/foreign languages, linguistic typing, and dataset/lexicon creation. Experience in NLP Tagging, Annotation, and ML-labelled data entry is required. Familiarity with Ontologies, PoS taggers, NER, and other language processing tools (English/Hindi/Other Indian Languages) is expected. Hands-on experience in tools such as Protg, Excel, Word, and other NLP annotation platforms will be beneficial. Your responsibilities will include Lexicon Testing & Creation. You should be capable of creating Lexical Entries in English and Hindi using Microsoft Office tools and NLP software. Collaboration within teams and proactive engagement in AI & NLP learning environments is essential. Additionally, you will contribute to ML-labelled data creation and domain-specific dataset development.,

You are a Data Science Engineer who will be contributing to the development of intelligent, autonomous AI systems. The ideal candidate should have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. Your responsibilities will include deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. As part of the flexible scheme, you will enjoy various benefits such as a best-in-class leave policy, gender-neutral parental leaves, childcare assistance benefit reimbursement, sponsorship for industry-relevant certifications, employee assistance program, comprehensive hospitalization insurance, accident and term life insurance, and health screening. Your key responsibilities will involve designing and developing Agentic AI Applications using frameworks like LangChain, CrewAI, and AutoGen, implementing RAG Pipelines, fine-tuning Language Models, training NER Models, developing Knowledge Graphs, collaborating cross-functionally, and optimizing AI workflows. To excel in this role, you should have at least 4 years of professional experience in AI/ML development, proficiency in Python, Python API frameworks, SQL, and familiarity with AI/ML frameworks like TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms, understanding of LLMs, SLMs, semantic technologies, and MLOps tools is required. Additionally, hands-on experience with vector databases, embedding techniques, and developing AI solutions for specific industries will be beneficial. You will receive support through training, coaching, and a culture of continuous learning to aid in your career progression. The company strives for a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They promote a positive, fair, and inclusive work environment for all individuals. For further information about the company and its teams, please visit the company website at https://www.db.com/company/company.htm. Join a team that celebrates success and fosters a culture of excellence and inclusivity.,

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your Mission, Roles And Responsibilities Sr. Data Engineer Country/Region: Pune/India Contract Type: Full time New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, Faurecia anticipates the future of mobility developing cutting-edge solutions for smart life on board and sustainable mobility. If you’re willing to contribute and create value for tomorrow’s cleaner and smarter mobility, Faurecia is the place to be. The Digital Services Factory (DSF) is a fast growing team in charge of providing AI solutions for manufacturing excellence and efficiency as well as for smart product development for the automotive industry. In order to meet the increasing expectations we are enriching our team by adding highly skilled resources. Overall Responsibilities And Duties Data Mining from structured, semi-structure & unstructured data sources Develop Business intelligence dashboards & insights with datasets Ensure data quality, interpret & analyse the data problems Prepare data for prescriptive & predictive modelling Create ontologies for knowledge & data management Collaborate with business owners, IT Architects & Data Scientists Qualifications Bachelors/Masters Degree in Computer Science Engineering Minimum 6 to 9 years of experience in working on industrial scale projects in Big Data. Hands on experience in building data models, data mining & segmentation Good knowledge of Big data eco systems (Spark & Hadoop) Good knowledge of python & SQL Knowledge of SQL & NoSQL Databases Knowledge of PowerBI Knowledge of Dataiku, Palantir is a plus Good communication skills in English Good logical & analytical thinking Your profile and competencies to succeed What We Can Do For You At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies. We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry. With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

As a Variant Annotation Curator, your primary responsibility will be to curate, harmonize, and maintain high-quality variant annotation datasets from a variety of public and proprietary sources such as ClinVar, ClinGen, HGDM, CADD, refSeq, REVEL gnomAD, dbSNP, and COSMIC. You will be tasked with developing and implementing pipelines to ensure the harmonization of variant annotations across different formats, nomenclatures, and reference genomes. Standardizing variant representations using HGVS, VCF, and other relevant formats will also be a key aspect of your role. Collaboration with the technical operations team to deliver curated data into customer systems will be essential. Additionally, you will be responsible for performing quality control and validation of variant annotations to uphold data integrity standards. Staying updated with the latest developments in variant annotation standards and tools, as well as understanding differences between annotation database versions, will be crucial for this position. Documenting curation processes and contributing to documentation will also be part of your duties. To qualify for this role, you should have a Master's or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field. Strong experience with variant annotation tools and databases is required. Proficiency in ETL/workflow tools like Airflow, Nextflow, and scripting languages such as Python or R is essential. Experience with version control systems like Git, familiarity with genomic data formats (VCF, BED, GFF), and reference genome builds (GRCh37/38) is necessary. Previous experience with data harmonization and integration across heterogeneous sources, knowledge of ontologies, and controlled vocabularies (e.g., ClinVar terms, Sequence Ontology) are also important qualifications. Having excellent problem-solving skills and attention to detail is crucial for success in this role. Additionally, experience with SQL (Postgres), familiarity with Kubernetes architecture, and cloud services like AWS would be advantageous in fulfilling your responsibilities as a Variant Annotation Curator.,

Position Overview Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your Skills And Experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

This role is for one of the Weekday's clients Min Experience: 8 years JobType: full-time We are seeking an experienced and detail-oriented Senior Taxonomist to join our team and take ownership of building, maintaining, and optimizing taxonomies and metadata frameworks across digital platforms. This role is critical in ensuring consistent classification, discoverability, and management of content, products, and data assets. The ideal candidate will have a strong foundation in taxonomy development, metadata strategy, content classification, and information architecture, along with a proven ability to collaborate with cross-functional teams to align taxonomy structure with business needs. Requirements Key Responsibilities: Lead the design, implementation, and maintenance of taxonomies, controlled vocabularies, metadata schemas, and ontologies for content and product classification. Analyze business requirements and user behavior to develop intuitive classification structures and tagging strategies that enhance content discoverability and search performance. Collaborate with stakeholders including product managers, content strategists, data teams, and UX designers to ensure taxonomy alignment with business goals and user needs. Conduct taxonomy audits and gap analyses to identify areas for improvement and develop plans for restructuring or optimization. Establish and enforce taxonomy governance policies, naming conventions, and documentation standards to ensure consistency and quality across platforms. Work closely with engineering and data teams to integrate taxonomy solutions into content management systems, PIM, DAM, and search platforms. Stay updated on industry best practices, tools, and technologies in taxonomy, metadata management, and information architecture. Skills and Qualifications: Bachelor's or Master's degree in Library Science, Information Science, Knowledge Management, Linguistics, or a related field. 8-15 years of hands-on experience in taxonomy development, metadata management, information architecture, or a related discipline. Strong understanding of controlled vocabularies, classification schemes, thesauri, and ontologies. Experience working with taxonomy management tools (e.g., PoolParty, Synaptica, Smartlogic, TopBraid, etc.). Proficiency in content management systems (CMS), product information management (PIM) systems, and digital asset management (DAM) platforms. Familiarity with search technologies and how taxonomy supports enterprise search, faceted navigation, and content personalization. Excellent analytical skills with the ability to interpret complex data sets and translate business needs into taxonomy solutions. Strong communication and collaboration skills, with the ability to influence stakeholders and lead cross-functional initiatives. Detail-oriented with a deep commitment to accuracy and consistency. Preferred Qualifications: Experience working in e-commerce, media, publishing, retail, or large-scale content-driven organizations. Knowledge of semantic technologies, RDF, SKOS, OWL, and linked data principles. Exposure to AI/ML tagging workflows and automation in metadata tagging and classification.

Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/ Bangalore Machine Learning Engineer – Medical AI Agents (RAG, SAG, Generative & Agentic Frameworks) Location: Hyderabad, India (Hybrid/Remote options available) About the Role We are building next-generation AI Agents for Clinical Decision Support—systems that combine the power of LLMs, RAG/SAG architectures, and agentic reasoning to assist doctors, reduce burnout, and extend quality care to millions. As a Machine Learning Engineer, you will work at the frontier of retrieval-augmented, structured-augmented, and agentic AI systems, designing medical copilots that can converse, reason, and act safely in real-world healthcare settings. You’ll collaborate with clinicians, public health bodies, and AI researchers to bring these agents from lab to hospital floor, tailored for multilingual, culturally diverse, and resource-constrained environments. Key Responsibilities Develop and deploy intelligent Medical AI Agents using RAG (Retrieval-Augmented Generation) and SAG (Structured-Augmented Generation) to assist in diagnostics, triage, therapy planning, and patient communication Architect multi-agent LLM workflows that reflect real clinical roles (e.g., GP, nurse, pharmacist), with memory, task decomposition, and role-specific context Fine-tune and align LLMs with clinical reasoning datasets using SFT, RLHF, and preference modeling to ensure high factuality and low hallucination rates Design multimodal integration pipelines that ingest EHRs, lab reports, imaging summaries, and patient-reported data for robust contextual reasoning Collaborate directly with doctors, nurses, and medical administrators to validate agent outputs and refine interaction models Participate in user studies, clinical pilots, and co-design workshops to ensure usability and trustworthiness of deployed agents Engage with public and private healthcare partners across India, Southeast Asia, and multilingual regions to customize deployment and localization Build frameworks for auditability, explainability, and fallback behavior in line with SaMD (Software as a Medical Device) and CDSCO/FDA guidance Incorporate empathic communication techniques, including tone modulation, uncertainty handling, and culturally sensitive phrasing, into agent behavior Benchmark systems on MedQA, PubMedQA, MedMCQA, and internal evaluations to continuously improve real-world performance Key Qualifications Educational Background: Master’s or higher in Computer Science, AI/ML, Biomedical Informatics, or related field from a premier institution (e.g., IISc, IITs, IIIT-H, BITS Pilani, or top global universities) Outstanding Bachelor’s candidates considered with strong track record in LLM research, clinical AI projects, or medical NLP deployment Bonus: Coursework or thesis in Human-Centered AI, Medical Ethics, Cognitive Science, or Clinical Informatics Technical Expertise: Strong command of transformer models, RAG/SAG architectures, contextual embeddings, and retrieval orchestration tools (e.g., LangChain, LlamaIndex) Proficiency in Python, PyTorch, HuggingFace, vector DBs (FAISS, Qdrant), and EHR integration frameworks (FHIR, HL7) Experience designing agentic LLM frameworks with memory persistence, intent handling, and inter-agent communication Exposure to multimodal reasoning, including structured medical data (labs, symptoms) and unstructured text (progress notes, prescriptions) Familiarity with medical ontologies (SNOMED CT, UMLS, ICD-10) and working with large-scale clinical text corpora Understanding of clinical safety, bias risks, and hallucination controls for generative systems Experience with RLHF, zero/few-shot prompt tuning, and retrieval grounding in high-stakes settings Collaboration & Stakeholder Engagement Proven ability to collaborate with healthcare professionals, understand their mental models, and iteratively translate them into agent logic Participated in field testing, simulation environments, or real-world deployments in clinical, telemedicine, or public health settings Strong communication skills to present and defend model behavior to both technical and non-technical stakeholders Willingness to engage in design sprints, qualitative research, and in-clinic observations Empathy for users under pressure—your systems will support people making life-saving decisions Preferred Attributes Experience building for multilingual contexts or deploying in LMIC (Low- and Middle-Income Country) healthcare systems Strong understanding of AI safety, uncertainty quantification, and fallback design Familiarity with regulatory compliance in medical AI (e.g., SaMD, CDSCO, HIPAA, GDPR) Published research or open-source contributions in medical NLP, generative agents, or multi-agent LLM frameworks Experience Up to 15 years 6–8 years of experience in AI/ML (with a strong focus on NLP/LLMs/RAG frameworks), including: At least 2–3 years in independently delivering production-grade AI systems At least 1–2 years in a tech-lead or mentoring capacity, ideally in a startup, research lab, or interdisciplinary team Hands-on experience with RAG/SAG pipelines, LLM fine-tuning, and agent orchestration, not just model usage Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community"

Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/ Bangalore Machine Learning Engineer – Medical AI Agents (RAG, SAG, Generative & Agentic Frameworks) Location: Hyderabad, India (Hybrid/Remote options available) About the Role We are building next-generation AI Agents for Clinical Decision Support—systems that combine the power of LLMs, RAG/SAG architectures, and agentic reasoning to assist doctors, reduce burnout, and extend quality care to millions. As a Machine Learning Engineer, you will work at the frontier of retrieval-augmented, structured-augmented, and agentic AI systems, designing medical copilots that can converse, reason, and act safely in real-world healthcare settings. You’ll collaborate with clinicians, public health bodies, and AI researchers to bring these agents from lab to hospital floor, tailored for multilingual, culturally diverse, and resource-constrained environments. Key Responsibilities Develop and deploy intelligent Medical AI Agents using RAG (Retrieval-Augmented Generation) and SAG (Structured-Augmented Generation) to assist in diagnostics, triage, therapy planning, and patient communication Architect multi-agent LLM workflows that reflect real clinical roles (e.g., GP, nurse, pharmacist), with memory, task decomposition, and role-specific context Fine-tune and align LLMs with clinical reasoning datasets using SFT, RLHF, and preference modeling to ensure high factuality and low hallucination rates Design multimodal integration pipelines that ingest EHRs, lab reports, imaging summaries, and patient-reported data for robust contextual reasoning Collaborate directly with doctors, nurses, and medical administrators to validate agent outputs and refine interaction models Participate in user studies, clinical pilots, and co-design workshops to ensure usability and trustworthiness of deployed agents Engage with public and private healthcare partners across India, Southeast Asia, and multilingual regions to customize deployment and localization Build frameworks for auditability, explainability, and fallback behavior in line with SaMD (Software as a Medical Device) and CDSCO/FDA guidance Incorporate empathic communication techniques, including tone modulation, uncertainty handling, and culturally sensitive phrasing, into agent behavior Benchmark systems on MedQA, PubMedQA, MedMCQA, and internal evaluations to continuously improve real-world performance Key Qualifications Educational Background: Master’s or higher in Computer Science, AI/ML, Biomedical Informatics, or related field from a premier institution (e.g., IISc, IITs, IIIT-H, BITS Pilani, or top global universities) Outstanding Bachelor’s candidates considered with strong track record in LLM research, clinical AI projects, or medical NLP deployment Bonus: Coursework or thesis in Human-Centered AI, Medical Ethics, Cognitive Science, or Clinical Informatics Technical Expertise: Strong command of transformer models, RAG/SAG architectures, contextual embeddings, and retrieval orchestration tools (e.g., LangChain, LlamaIndex) Proficiency in Python, PyTorch, HuggingFace, vector DBs (FAISS, Qdrant), and EHR integration frameworks (FHIR, HL7) Experience designing agentic LLM frameworks with memory persistence, intent handling, and inter-agent communication Exposure to multimodal reasoning, including structured medical data (labs, symptoms) and unstructured text (progress notes, prescriptions) Familiarity with medical ontologies (SNOMED CT, UMLS, ICD-10) and working with large-scale clinical text corpora Understanding of clinical safety, bias risks, and hallucination controls for generative systems Experience with RLHF, zero/few-shot prompt tuning, and retrieval grounding in high-stakes settings Collaboration & Stakeholder Engagement Proven ability to collaborate with healthcare professionals, understand their mental models, and iteratively translate them into agent logic Participated in field testing, simulation environments, or real-world deployments in clinical, telemedicine, or public health settings Strong communication skills to present and defend model behavior to both technical and non-technical stakeholders Willingness to engage in design sprints, qualitative research, and in-clinic observations Empathy for users under pressure—your systems will support people making life-saving decisions Preferred Attributes Experience building for multilingual contexts or deploying in LMIC (Low- and Middle-Income Country) healthcare systems Strong understanding of AI safety, uncertainty quantification, and fallback design Familiarity with regulatory compliance in medical AI (e.g., SaMD, CDSCO, HIPAA, GDPR) Published research or open-source contributions in medical NLP, generative agents, or multi-agent LLM frameworks Experience Up to 15 years 6–8 years of experience in AI/ML (with a strong focus on NLP/LLMs/RAG frameworks), including: At least 2–3 years in independently delivering production-grade AI systems At least 1–2 years in a tech-lead or mentoring capacity, ideally in a startup, research lab, or interdisciplinary team Hands-on experience with RAG/SAG pipelines, LLM fine-tuning, and agent orchestration, not just model usage Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community"

Job title: Business Capability Manager Associate Location: Hyderabad About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Business Capability manager associate serves as the interface between Business and Digital/Data on foundational data capabilities or needs across R&D. This role will be responsible for identification of key use cases across R&D, high level data solutioning (e.g., data strategy, governance/standards, management, infrastructure needs etc), and oversight of day-to-day operations for their specific data capability. Main Responsibilities Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts: Partner with key stakeholders across R&D functions to identify data-related needs and initiatives (e.g., data catalog, master and reference data management, data products, etc.) and design innovative data solutions to support business prioritiesPartner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues Establish ways of working across all partner functions for specifically assigned capabilities/initiatives Annotate genomic variants (e.g., SNVs, indels, CNVs, SVs) using open source or proprietary tools on relevant databases to assess functional and clinical relevance Integrate genomic annotations with pathway databases, transcriptomic data, and disease ontologies to generate hypotheses about target biology and mechanism of action Work with multi-omics data sets (e.g., WES, WGS, RNA-seq, scRNA-seq) and curate data pipelines to ensure quality, consistency, and reproducibility of annotations Partner with wet-lab scientists, data scientists, and therapeutic area teams to deliver actionable insights for target validation, biomarker discovery, and patient stratification Contribute to the development and maintenance of automated workflows, reproducible pipelines and databases Document methodologies and present results in internal meetings, reports, and collaborative discussions with cross-functional stakeholders Deliverables Develops business case development, requirement identification, and use case development for business functions Implements business process definition, process performance, process execution, process management, and continuous improvement opportunities Maintain genomic databases, pipelines, tools and platforms undefined About You Experience: M.S + 5 years or Ph.D. +3 years hands-on experience in bioinformatics, preferably in a pharma, biotech, or translational research setting Proficient in scripting languages (e.g., Python, R, Bash) and bioinformatics tools for genomic annotation Solid understanding of human genetics, disease biology, and functional genomics data sets Familiarity with ontologies and biological knowledgebases (e.g., GO, KEGG, Reactome, DisGeNET) Experience working with NGS data and variant interpretation in the context of drug discovery or precision medicine Experience with workflow languages (e.g., Nextflow, Snakemake, WDL), Knowledge of clinical genomics standards (e.g., HGVS nomenclature, ACMG classification) Familiarity with target identification and validation pipelines or biomarker discovery programs Familiarity with Pharma R&D processes and technology, Ability to build business relationships and understand end-to-end data use and needs Diplomatic and stakeholder management skills across business, technology, and partners 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) People management skills either in matrix or direct line function, M.S. or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Data Science Manager-R&D Qualification and Experience:M.Tech / M.E / MS / M.Sc / Ph.D ; 2 Years Qualification and Experience M.Tech / M.E / MS / M.Sc / Ph.D in Computer Science or a related discipline (Applied Mathematics, Statistics, Electrical and/or Computer Engineering) with a focus on Artificial Intelligence / Machine Learning A CGPA of 7.5/10 or above in UG as well as PG level (in case of percentage, 70 PERCENT or above) 2 Years Responsibilities Responsible for applied research, development and validation of advanced machine learning and AI algorithms for solving complex real-world problems at scale Work closely with product team to understand business problems and product vision to come up with innovative algorithmic solutions Create prototypes and demonstrations to validate/establish innovative ideas and translate research outcomes to productized innovation by working with AI Engineers and/or software engineers Create and maintain research plans, conduct experiments, consolidate and document results, and publish works as appropriate Document and protect intellectual property (IP) generated from R&D efforts by collaborating with designated teams and/or external agencies Mentor junior staff to ensure that correct procedures are followed; collaborate with stakeholders, academic/research partners and peer researchers to deliver tangible outcomes Requirements of the role The candidate is expected to be strong in fundamentals of computer science as well as in analyzing and designing AI/Machine learning algorithms Hands-on experience in at least two of the following areas are required : Supervised, unsupervised and semi-supervised machine learning algorithms Reinforcement Learning Deep learning & Representation Learning Knowledge based systems (knowledge representation, reasoning and planning; FOL, ontologies etc.) Evolutionary Computing Probabilistic Graphical Models Streaming, incremental and non-stationary learning Candidate should be strong in at least one programming language, and should have experience in implementing AI/machine learning algorithms in python or R Experience with tools/frameworks/libraries such as Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark etc. would be desirable Applied research experience of at least 2 5 years on real-world problems using AI/Machine Learning techniques At least one publication in a top tier conference/journal related to AI/Machine Learning (E.g. ICML, AAAI, NIPS, ICCV, CVPR, KDD, SIGMOD, IJCNN, IJCAI, EMNLP, ICPR, ICDM etc.) and/or patents Experience in contributing to open-source projects related to AI/Machine Learning would be a strong plus Job Code: DSM_TVM Location: Trivandrum For more information, Please mail to: recruitment@flytxt.com

Job title: Business Capability Manager Associate Location: Hyderabad About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary: The R&D Business Capability manager associate serves as the interface between Business and Digital/Data on foundational data capabilities or needs across R&D. This role will be responsible for identification of key use cases across R&D, high level data solutioning (e.g., data strategy, governance/standards, management, infrastructure needs etc), and oversight of day-to-day operations for their specific data capability. Main responsibilities: Work in collaboration with R&D Data Office leadership, business, and R&D Digital subject matter experts: Partner with key stakeholders across R&D functions to identify data-related needs and initiatives (e.g., data catalog, master and reference data management, data products, etc.) and design innovative data solutions to support business prioritiesPartner with R&D Digital stakeholders to oversee data-related activities and verify data functionality from ingest through access Drive program management of initiatives and capabilities; ensure on-schedule/on-time delivery and proactive management of risks/issues Establish ways of working across all partner functions for specifically assigned capabilities/initiatives Annotate genomic variants (e.g., SNVs, indels, CNVs, SVs) using open source or proprietary tools on relevant databases to assess functional and clinical relevance Integrate genomic annotations with pathway databases, transcriptomic data, and disease ontologies to generate hypotheses about target biology and mechanism of action Work with multi-omics data sets (e.g., WES, WGS, RNA-seq, scRNA-seq) and curate data pipelines to ensure quality, consistency, and reproducibility of annotations Partner with wet-lab scientists, data scientists, and therapeutic area teams to deliver actionable insights for target validation, biomarker discovery, and patient stratification Contribute to the development and maintenance of automated workflows, reproducible pipelines and databases Document methodologies and present results in internal meetings, reports, and collaborative discussions with cross-functional stakeholders Deliverables Develops business case development, requirement identification, and use case development for business functions Implements business process definition, process performance, process execution, process management, and continuous improvement opportunities Maintain genomic databases, pipelines, tools and platforms undefined About you Experience : M.S + 5 years or Ph.D. +3 years hands-on experience in bioinformatics, preferably in a pharma, biotech, or translational research setting Proficient in scripting languages (e.g., Python, R, Bash) and bioinformatics tools for genomic annotation Solid understanding of human genetics, disease biology, and functional genomics data sets Familiarity with ontologies and biological knowledgebases (e.g., GO, KEGG, Reactome, DisGeNET) Experience working with NGS data and variant interpretation in the context of drug discovery or precision medicine Experience with workflow languages (e.g., Nextflow, Snakemake, WDL), Knowledge of clinical genomics standards (e.g., HGVS nomenclature, ACMG classification) Familiarity with target identification and validation pipelines or biomarker discovery programs Familiarity with Pharma R&D processes and technology, Ability to build business relationships and understand end-to-end data use and needs Diplomatic and stakeholder management skills across business, technology, and partners 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) People management skills either in matrix or direct line function, M.S. or Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related discipline

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

Company Description At OneDose , we’re transforming medication management with advanced AI and data-driven solutions. Our mission: to make every dose smarter, safer, and more accessible — at scale. Patients often need help and miss medications due to cost, availability, or allergies . This is a complex clinical and supply chain challenge that requires seamless data integration, real-time intelligence, and precision recommendations. Integrate formulary data , supplier inventories , salt compositions, and clinical guidelines into a unified ontology. Build a clinical decision support system that automatically suggests Deploy real-time recommendation pipelines using Foundry’s Code Repositories and Contour (ML orchestration layer). Role Description This is a full-time, on-site role for a Palantir Foundry Developer located in Jaipur. The Palantir Foundry Developer will be responsible for building and maintaining data integration pipelines, developing analytical models, and optimizing data workflows using Palantir Foundry. Day-to-day tasks include collaborating with cross-functional teams, troubleshooting data-related issues, and ensuring data quality and compliance with industry standards. Qualifications Deep expertise in Palantir Foundry — from data integration to operational app deployment. Strong experience in building data ontologies, data pipelines (PySpark, Python), and production-grade ML workflows. Solid understanding of clinical or healthcare data (medication data, EHRs, or pharmacy systems) is a huge plus. Ability to architect scalable, secure, and compliant data solutions for highly regulated environments. Passion for solving high-impact healthcare problems using advanced technology. Bachelor's degree in Computer Science, Data Science, or a related field Why join OneDose? Impact at scale: Your work will directly improve access to medication and patient outcomes across India and globally. Cutting-edge stack: Work hands-on with Palantir Foundry, advanced AI models, and scalable cloud-native architectures. Ownership & growth: Join an agile, high-energy team where you can lead, innovate, and shape the future of healthcare.

About iMerit: iMerit is a well-funded, rapidly expanding global leader in data services. iMerit’s dedicated Medical Division works with the world’s largest pharmaceutical companies, medical device manufacturers, and hospital networks to supply the data that powers advances in Artificial Intelligence. At iMerit, we have successfully delivered services powering cutting edge technologies such as digital radiology, digital pathology, clinical decision support, and autonomous robotic surgery. We are seeking an enthusiastic professional to manage a team of healthcare professionals normalize a large volume of healthcare data into standard large medical ontologies. The appropriate candidate will have experience managing large teams; defining, measuring and leading towards successful achievement of Key Performance Indicators (KPIs); and working collaboratively with clients. Experience in large-scale healthcare data operations and services will be extremely valuable. This position requires coordination with US stakeholders and is full-time, PM-Shift India and In-office Only. Role Full-time position as Project Manager (PM) for medical data projects, including working with different medical data types to produce datasets for machine learning purposes. Responsibilities Ensure that all projects are delivered on-time, within scope and within budget Coordinate internal resources and third parties/vendors for the flawless execution of projects Develop a detailed project plan to track progress Report and escalate to management as needed Manage the relationship with the client and all stakeholders Perform risk management to minimize project liabilities Create and maintain comprehensive project documentation Experience/Education: Experience in Project Management for Healthcare Services Requires understanding and experience in projects related to medical ontologies such as Snomed/LOINC/RxNORM/ICD-10 Physician/MBBS with relevant experience Skills: Strong ability to understand the medical concepts Excellent English reading comprehension & communication skills. Computer Literacy Passion for improving lives through healthcare & a great work ethic. Ability to work night shifts as this project will need to work in IST night shift. Needs to work from office full time Benefits: Strong Compensation Exposure to working with innovative companies in healthcare & AI Growth and Leadership Opportunities Collaborative, International teamwork

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

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

Experience :- 3-7 Years Location :- Bangalore (Embassy Tech Village) Roles & Responsibilities :- 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. Proficiency with fundamental front-end languages such as HTML, CSS, MySQL, Oracle, MongoDB, and JavaScript preferred. Proficiency with server-side languages for structured data processing; Python, Py Spark, Java, Apache Spark, and Spark SQL preferred. Bangalore Karnataka India