169 Ontologies Jobs - Page 4

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

Job Title: Lead Engineer - Data & AI Career Level: E Introduction To Role Are you ready to redefine an industry and change lives? AstraZeneca is seeking a seasoned AI and Data Engineering manager to join our Data Analytics and AI (DA&AI) organization. In this pivotal role, you'll be instrumental in shaping and delivering next-generation data platforms, data mesh, and AI capabilities that drive our digital transformation. Your expertise will be crucial in building data infrastructure that supports enterprise-scale data platforms and AI Analytics deployment, fueling intelligent operations across the business. Accountabilities Technical & AI Leadership Lead and mentor a multi-functional team of data and AI engineers to deliver scalable, AI-ready data products and pipelines. Define and enforce standard processes for Data engineering, data pipeline orchestration, and ELT/ETL development lifecycle management. Guide the development of solutions that integrate data engineering with machine learning, foundational models, and semantic enrichment. AI-Driven Data Engineering Architect and develop data pipelines using tools such as DBT, Apache Airflow, and Snowflake, optimized to support both analytics and AI/ML workloads. Design infrastructures that facilitate automated feature engineering, metadata tracking, and real-time model inference. Enable large-scale data ingestion, preparation, and transformation to support AI use cases such as forecasting, natural language querying/processing (NLQ/P), and intelligent automation. Governance and Metadata Management Have an approach to adhere to data governance and compliance practices that ensure trust, transparency, and explainability in AI outputs. Manage and scale enterprise metadata frameworks using tools like Collibra, aligning with FAIR data principles and AI ethics guidelines. Establish traceability across data lineage, model lineage, and business outcomes. Stakeholder Engagement Act as a trusted technical advisor to business leaders across enabling functions (e.g., Finance, M&A, GBS), helping translate strategic goals into AI-driven data solutions. Lead delivery across multiple workstreams, ensuring measurable KPIs and adoption of both data and AI capabilities. Essential Skills/Experience 12+ years of hands-on experience in data engineering and AI-enabling infrastructure, with expertise in: DBT, Apache Airflow, Snowflake, PostgreSQL, Amazon Redshift 2+ years working with or supporting AI/ML teams in building production-ready pipelines and infrastructure. Strong communication skills with a demonstrated ability to influence both technical and non-technical collaborators. Experience in implementing data products by applying data mesh principles. Experience working across enabling business units such as Finance, HR, and M&A. Academic Qualifications Bachelor’s or Master’s degree in computer science, Information Technology, or related field with relevant industrial experiences. Desirable Skills/Experience Proficiency in Python, especially in libraries like Pandas, NumPy, and Scikit-learn for data and ML workflows. Exposure to ML lifecycle tools such as SageMaker, MLflow, Azure ML, or Databricks. Exposure to foundational AI models (e.g., LLMs), vector databases, and retrieval-augmented generation (RAG) methodologies. Knowledge of data cataloguing tools such as Collibra, semantic data models, ontologies, and business glossary tools. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, your work has a direct impact on patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak by combining innovative science with leading digital technology platforms. With a passion for impacting lives through data, analytics, AI, machine learning, and more, we are at a crucial stage of our journey to become a digital and data-led enterprise. Here you can innovate, take ownership, experiment with groundbreaking technology, and tackle challenges that have never been addressed before. Our dynamic environment offers countless opportunities to learn and grow while contributing to something far bigger. Ready to make a meaningful impact? Apply now to join our team! Date Posted 27-Jun-2025 Closing Date 03-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Hiring Data modeler for one of the global consulting firm for Pan India location. Experience - 4-10 years This role works with business analysts, business stakeholders and technical personnel to translate business data requirements into data models and related data artefacts, which will form the basis of solutions which meet and fulfil the business requirements. This role reports to the Lead Data Modeller. Tasks include: ∙Producing Conceptual, Logical and Physical Data Models and related artefacts to specified standards ∙Producing Entity Relationship Diagrams and specifying and documenting the relationships between entities, specifying and documenting the data attributes for each entity ∙Data Vault modelling knowledge and experience ∙Agreeing entity and attribute definitions with the respective stakeholders ∙Producing Data Ontologies and Class Diagrams ∙Generating data model schema scripts, using data modelling tools, from Physical Data Models ∙Simultaneously being part of several project teams in order to allow multiple projects to proceed at pace concurrently ∙Contributing to data modelling framework design discussions regarding items such as the design and use of Reference Data ∙Investigating and providing estimates for data modelling work and, reporting progress to-date ∙Working with Business SME and Technical staff to identify the data sources to be used to meet the business requirements ∙Data mapping: The identification, specification and documentation of data mappings and the associated transformations in order to move data from the source systems, through the data warehouse layers where appropriate and, to present the data to authorised end users ∙The clarification and documentation of business rules and data transformations with technical colleagues and business users (who may be members of senior management) ∙Working with Database Administrators (DBA’s) and information service designers to ensure the physical implementation meets the functional and non-functional requirements Skills & Experience: ∙Build data flows and develop conceptual data models Internal ∙Create logical and physical data models using best practices to ensure high data quality and reduced redundancy ∙Optimise and update logical and physical data models to support new and existing projects ∙Maintain conceptual, logical and physical data models along with corresponding metadata ∙Develop and maintain best practices for standard naming conventions and coding practices to ensure consistency of data models ∙Recommend opportunities for reuse of data models in new environments ∙Perform reverse engineering of physical data models from databases (Oracle, Microsoft Azure) and SQL scripts ∙Good knowledge and experience of metadata management, data modelling, and related tools (Erwin or ERStudio or others) required ∙Good understanding if graph modelling (neo4J, Star Dog or similar) ∙Should have good SQL scripting knowledge to perform reverse engineering activities ∙Examine new application design and recommend correction wherever applicable

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: Unstructured Data Management Key Skills: data governance, data quality, data architecture Job Locations: PAN India Experience: 12+Years Budget: 30-40% Hike on current Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview Job Description: Job Purpose This role will support in creation of advanced data management guidelines (data architecture, data governance, data quality) towards managing / governing unstructured data at enterprise level e.g. defining the target operating model (defining the key stakeholders, R&R etc.) Major Accountabilities Drive adoption of Unstructured Data Management guidelines across business units and global functions Clearly articulate the value of managing unstructured data governance to key stakeholders like enterprise data owners, domain data architects, AI office etc. Drive the identification of functional requirements across business functions for designing the technology stack for governing unstructured data at enterprise level Drive the enterprise guidelines on building a semantic layer (ontologies & knowledge graphs) for managing unstructured data Ideal background Education Graduate or Post-graduate in Computer Science, Data Science, or a related area. MBA in Data, Analytics, Systems, Strategy preferred Languages Proficiency in English Skills & Experience Subject Matter Expert for Unstructured Data Governance (documents, images etc.) with ability to build and drive thought leadership towards improving maturity of the enterprise to build a strong foundation for GenAI use cases Strong experience in implementation of Metadata Management, Data Governance & Data Quality capabilities relevant to unstructured data management Strong understanding of evolving trends in the AI industry (e.g. relevance of investing in metadata management with improved context windows / improved GenAI models etc.) and their implications for being able to guide the unstructured data governance strategy in the right direction Strong understanding of the key tools and technologies relevant for processing unstructured data with respect to managing metadata, monitoring data quality and data governance Strong understanding of leveraging GenAI/AI for unstructured data governance processes Strong understanding of regulatory implications (like EU AI act) on unstructured data governance Good to have experience in Pharma/Life Sciences relevant GenAI use cases and corresponding unstructured data governance Good understanding of GenAI/AI pipelines e.g. data pre-processing (embedding models, chunking), RAG (Graph RAG etc.), LLM models etc. Excellent communication, negotiation and stakeholder management skills Interested Candidates please share your CV t o vamsi.v@people-prime.com

Job requisition ID :: 83194 Date: Jun 25, 2025 Location: Delhi CEC Designation: Consultant Entity: Deloitte South Asia LLP Amidst, landing rockets, self driving cars, talking Alexas and blazing fast communication, past two decades have ushered in massive changes into our lives. Enough watching from the sidelines already ! If you have your sleeves rolled up and are raring to be a change-maker yourself, we’d love to hear from you. We seek exceptionally motivated, obsessively passionate and radically creative self starter minds. Minds that’ll have rare opportunities to peek into pivotal challenges faced by the leadership of key brands across sectors & global locations. Your Role Face client and gather high resolution requirements with ease. Repeatedly educate internal and external stakeholders on design process - own selling design as-much as creating it. Work towards deadlines, within a dynamic environment and across time-zones. Accurately scope and plan deliverables and time-lines. Open to iterative critique, feedback and co-creative work-flows with internal & external stakeholders. Clear & impersonal defense of the “why” of design decisions. Manage evolving client requirements - High levels of resilience and self-motivation. Excellent communication skills - both written and verbal, to articulate complex & technical issues. Earnest and diligent UI testing leading to obsessive filing and followup's of bugs/changes. Understand and speak the language of VD, Functional and Dev teams for smooth hand-overs. Collaborate across teams within an agile delivery framework. Our Requirement An equal passion towards technology & aesthetics. Very strong understanding of design fundamentals. - Form, color, balance, harmony etc. Very strong hands-on understanding of the design process and deliverables at every stage - system-maps, mind-maps, personas, journey-maps, wire-frames, style guides, VD assets, Spec docs etc. Keenly aware of latest UX/UI design patterns, frameworks, libraries and guidelines across web, iOS, Android, windows etc. Very strong Information design & Information architecture skills - taxonomies, ontologies, facets etc. An extremely keen observer & listener; rapidly absorbs tiniest nuances of client’s business challenge; does not shy away from complexity. Ability to profile end user with utmost clarity and detail. Strong lateral thinker; Imagine novel intuitive solutions for hard UX problems. Aware of nuances of cross device & cross platform solution and delivery - Grids, pixel densities etc. Strong grasp of ‘usability’ and other design gold standards. Keenly aware of nuances of primary secondary User research, User validation and User testing. Fluent in contextualizing design process towards varying domains - healthcare, finance, retail, heavy industry etc. Comfortable designing within niche UI framework restraints such as SAP ui, SFDC ui etc. Ability to comb through big data, analytics and behavioral insights to generate new experiences and opportunities - keen interest in big-data visualizations. Experience of designing high complexity interfaces e.g. Retail, Finance, Big data, Banking etc. Strong ability to accurately prioritize and transform insights and requirements into simple, intuitive user flows and interfaces. Extremely proficient in the latest design & rapid prototyping tools such as Sketch, Axure, Adobe suite, InVision, Zeplin, Principle etc. How you’ll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our purpose Deloitte is led by a purpose: To make an impact that matters . Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world

Location Chennai, Tamil Nadu, India Job ID R-230132 Date posted 26/06/2025 Job Title: Director- Data & Analytics Engineer GCL - F Introduction to role: As the Director of Data & Analytics Engineering, you'll be at the forefront of revolutionizing how competitive intelligence is created, shared, and consumed within AstraZeneca. Through Connected Insights, we are making our data Findable, Accessible, Interoperable, and Re-usable (FAIR). You'll architect solutions that ensure unstructured data is readily available for AI applications, using innovative technologies like vector databases and knowledge graphs. Your leadership will guide a team of dedicated engineers in developing scalable data solutions and database enhancements for large-scale products. Are you prepared to drive innovation and excellence in data engineering? Accountabilities: 1. Data Platform Design and Implementation Design and implement advanced data capabilities, including auto ingestion, data cataloguing, automated access control, lifecycle management, backup & restore, and AI-ready data structures. Implement vector databases and knowledge graphs to support AI and machine learning initiatives. 2. AI-Focused Solution Architecture Collaborate with AI Engineering leads and Architects to design AI-ready data architectures. Analyze data requirements for AI applications, modeling both structured and unstructured data sources. 3. ETL and Data Processing Implement optimal ETL workflows using SQL, APIs, ETL tools, AWS big data technologies, and AI-specific techniques. Develop processes to prepare data for AI model training and inference. 4. AI Integration and Technical Leadership Lead technical deliveries across multiple initiatives, focusing on integrating AI capabilities into existing data solutions. Provide technical feedback on design, architecture, and integration of AI-enhanced data sourcing platforms. 5. Collaborator, Teamwork and Problem Solving Liaise with technical infrastructure teams to resolve issues impacting AI application performance. Engage with architects, product owners, and business stakeholders to ensure efficient engineering of AI-driven data solutions. 6. Agile Project Management Lead a dedicated Data pod including managing backlogs, sprints, and planning. Collaborate with product pods to help them meet their deliveries. 7. Standards and Best Practices Define data engineering and AI integration standards in collaboration with architects and AI Engineering leads. Establish standard processes for managing AI model versioning and data lineage. 8. Quality Assurance and Documentation Test, document, and quality assess new data and AI solutions. Implement robust testing frameworks for AI models and data pipelines. 9. Research and Development Explore emerging AI technologies and drive their integration into existing data infrastructure. 10. Technical Problem Solving and Innovation Adopt a "can-do" approach to technical challenges related to AI integration. Coach team members on solving complex AI and data engineering problems. 11. Team Leadership and Development Build and support your team through hiring, coaching, and mentoring. Foster a culture of continuous learning in AI and data technologies. 12. Code and Design Quality Perform regular quality checks of both data engineering and AI-related code. Guide engineers on design patterns emphasizing AI-specific considerations. 13. Data Interoperability and FAIR Principles Lead initiatives to enhance data interoperability through rich metadata. Ensure all data solutions align with FAIR principles. 14. Knowledge Graph Development Be responsible for the design, implementation, and maintenance of knowledge graphs using Neo4j. Integrate knowledge graphs with AI applications to enhance data context. Essential Skills/Experience: Must have a B.Tech/M.Tech/MSc in Computer Science, Engineering, or related field. Experience in leading data engineering teams to deliver robust and scalable data products, with a focus on preparing datasets for AI/ML use cases. Deep expertise in the AWS data engineering ecosystem (SNS, SQS, Lambda, Glue, S3, EMR, log management, AWS containers, EC2, EBS, access control, data streaming, AWS CLI & SDK, backup & restore, etc). Excellent programming skills in Python or Java, including Object-Oriented Programming, and proficiency with Airflow, Apache Spark, source control (GIT), and versioning. Extensive experience in designing, building, and optimizing large-scale data pipelines, including ingestion, transformation, and orchestration using tools such as Airflow. Familiarity with Snowflake tools and services. Hands-on experience with metadata management and the application of controlled vocabularies and ontologies to ensure data interoperability and discoverability. Working knowledge of vector databases and implementing semantic search capabilities for unstructured and semi-structured datasets. Strong understanding of data modelling concepts, SQL (including advanced SQL), and database design—especially for unstructured and semi-structured data (XML, JSON). Experience designing data cataloguing, auto-ingestion, automated access control, lifecycle management, backup & restore, and other self-service data management features. Exposure to software engineering CI/CD processes, including implementation of automated testing, build, release, deployment, containerization, and configuration management. Experience using JIRA, Confluence, and other tools to manage Agile and SAFe project delivery. Strong communication, teamwork, and mentoring skills, with the ability to build, coach, and guide high-performing data engineering teams focused on AI/ML objectives. Desirable Skills/Experience: Demonstrated experience in developing knowledge graphs (e.g., with Neo4j) and making data AI-ready for Retrieval-Augmented Generation (RAG) and Generative AI (GenAI) applications. When we put unexpected teams in the same room, we fuel ambitious thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, you'll find yourself at the heart of innovation where impactful work meets large-scale transformation. We connect across the business to influence patient outcomes positively while driving pioneering change towards becoming a digital enterprise. Collaborate with leading experts using innovative techniques to turn complex information into practical insights that improve lives globally. Our inclusive team grows with diversity—bringing together different functions to decode business needs effectively. Here is where you can raise your personal profile through publishing work or showcasing your achievements. Ready to make a difference? Apply now to join our dynamic team! Date Posted 27-Jun-2025 Closing Date 20-Jul-2025 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 2 to 4 years (2 years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor Degree, Master Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 2 to 4 years (2 years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor Degree Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Specialist, Product Experience Design Job Description Summary We are looking for an experienced User Experience/Interaction Designer passionate about the possibilities of data and data-driven experience design with good knowledge and experience of User Interface Design to join our rapidly growing, highly-innovative data and services Product Development team at our development center in Pune. The design function works as part of wider cross-functional teams that form organically around data product ideas – collectively contributing to the rapid iteration of Prototypes and MVPs (Minimal Viable Product), mainly in the B2B and B2B2C arenas. Each design iteration is exposed to end-users at each cycle of our rapid design-test-redesign process, to ensure optimum user traction. Prototype and MVP outputs include dashboards; widgets; chatbots; web applications; mobile applications; VUI voice interfaces; digital assistants; etc. – all in service of solving complex business challenges and with an ever increasing emphasis on Artificial Intelligence (AI) and Machine Learning (ML). Role Design of Proof-of-Concepts and Minimum Viable Data Products (MVPs) using human-centric design principles and rapid prototyping (Lean UX and Design Thinking) Participate in "Design Thinking" workshops – collaborating cross-functionally with industry verticals, regional leads and end-users to ensure optimal digital data products Explore the “art-of-the-possible” in the era of Big Data, Artificial Intelligence (AI) and Machine Learning (ML) – whilst always maintaining regulatory compliance Leverage existing – and contribute net new – design patterns to Mastercard’s design pattern library Help define the next generation of data and data-driven products – and through doing so, help shape the future of Mastercard and its growth Creation of a cohesive and compelling visual language across diverse form factors: web, mobile and internet of things Work on future state conceptual designs, driving experimentation that improves the quality of product design overall. Work closely with key partners from brand & marketing, alongside the broader user experience team to drive delightful and highly usable transactional experiences leveraging the broader visual language for MasterCard. Work closely with our technology team to define implementation standard for our products leveraging modern presentation layer practices such as adaptive/responsive web and current and forward thinking technologies. Ensure that designs deliver an appropriate balance of optimizing business objectives & user engagement, in close partnership with product managers. Liaise with regional and country teams to ensure that designs are reflective of the diversity of needs for a global user base Drive VXD design across a broader ecosystem, where experiences will require tailoring to meet the needs of both MasterCard customers and end consumers Help define the next generation of data and data-driven products and their visualization – and through doing so, help shape the future of Mastercard and its growth Interaction Design Required Experience / Knowledge / Skills (Core) Experience developing User Archetypes and Personas and user journeys to inform product design decisions Experience in rapid prototyping (Lean UX and Design Thinking) Experience in articulating elegant and engaging experiences using sketches, storyboards, information architecture blueprints and prototypes Experience in the implementation of creative, useable and compelling visual mockups and prototypes. Experience working with complex information architectures Experience of design-experiences across multiple media Experience using prototyping/wireframing tools such as Figma, Sketch, Adobe Experience Design, Adobe Illustrator etc. An understanding of complex information architectures for digital applications Visual Design Additional Experience / Knowledge / Skills Experience in articulating elegant and engaging visual experiences using sketches, storyboards, and within prototypes Highly proficient in the creation of useable, compelling and elegant visual mockups and prototypes. Experience of visual design across multiple media and form factors: web; mobile; Internet-of-Things (IOT) Extensive and demonstrable experience using leading VXD software packages such as Adobe Creative Cloud / Suite (Photoshop, InDesign, Illustrator etc.) / Experience Design, Serif DrawPlus, Corel DRAW Graphics Suite / PaintShopPro, Art Rage, Xara or equivalent An understanding of complex information architectures for visual representation Any experience in motion graphic design is a strong plus Any experience in 3D modeling also a strong plus Research Experience consuming UX research Experience in leading “Design Thinking” workshops with customers to identify requirements and ideate on potential product solutions. Ability to identify best-in-class user experience through competitor analysis Experience of iterative “design-test-re-design” methodology to collect real user feedback to incorporate back into the design Candidate Prior experience working in a world-beating UX team Experience working/multi-tasking in an extremely fast-paced startup-like environment Experience in client-facing engagements, preferably in leading them Empathetic champion of the user – passionate about the detail of great usability, interaction design and aesthetics to give the best possible UX Passionate about the possibility of data driven experiences – so-called “emergent ontologies” (patterns in the data) driving UX and UI. Passionate about the potential for data, Artificial Intelligence (AI) and Machine Learning ML) Defensible point-of-view on and Adaptive v Responsive v Liquid/Fluid UI Defensible point-of-view on gamification Interest in VUIs (Voice Interfaces) Demonstrable knowledge of UX and Interaction Design heuristics and best practices: e.g. Lean UX; Mobile First etc. Demonstrable knowledge of ergonomic and usability best practices Bachelors or Masters Degree in Design for Interactive Media, or equivalent experience World-beating portfolio covering multiple form-factors: desktop; tablet; mobile; wearable; other Demonstrable commitment to learning: insatiable to discover and evaluate new concepts and technologies to maximize design possibility. #AI3 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-243416

Assistant Manager EXL/AM/1265152 Digital SolutionsNoida Posted On 26 May 2025 End Date 25 Jun 2025 Required Experience 2 - 4 Years Basic Section Number Of Positions 3 Band B1 Band Name Assistant Manager Cost Code G090637 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type Backfill Max CTC 600000.0000 - 1000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Digital Delivery Practice SBU Xtrakto.AI Country India City Noida Center Noida - Centre 59 Skills Skill DATA SCIENCE - AI COMPUTRE VISION NLP Minimum Qualification B.TECH/B.E MCA MSC Certification No data available Job Description Job Responsibilities: Design, develop and implement solutions for a wide range of NLP use cases involving classification, extraction and search on unstructured text data Create and maintain state of the art scalable NLP solutions in Python/ Java/ Scala for multiple business problems. This involves: Choosing most appropriate NLP technique(s) based on business needs and available data Performing data exploration and innovative feature engineering Training and tuning a variety of NLP models / solutions which include regular expressions, traditional NLP models as well as SOTA transformer based models Augmenting models by integrating domain specific ontologies and/or external databases Reporting and Monitoring the solution outcome Work experience with document-oriented databases such as MongoDB Collaborate with ML engineering team to deploy NLP solutions in production - both on premise as well as cloud deployment Interact with clients and internal business teams to perform solution feasibility as well as design and develop solutions Open to working across different domains – Insurance, Healthcare and Financial Services etc. Required Skills: Experience (including graduate school) on training machine learning models, applying and developing text mining and NLP techniques Exposure to OCR and computer vision Experience in extracting content from documents is preferred Experience (including graduate school) with Natural Language Processing techniques is required Hands on experience with Natural Language Processing tools such as Stanford CORE-NLP, NLTK, spaCy, Gensim, Textblob etc. Experience/ Familiarity with document clustering in supervised un un-supervised scenarios Expertise in at least two of the state of the art techniques in NLP like BERT, GPT, XL Net etc. Applied experience of machine learning algorithms using Python Organized, self-motivated, disciplined and detail oriented Production level coding experience in Python is required Ability to read recent ML research papers and adapt those models to solve real-world problems Experience with any deep learning framework, including Tensorflow, Caffe, MxNet, Torch, Theano Experience with optimization on GPUs (a plus) Hands on experience with using cloud technologies on AWS/ Microsoft Azure is preferred Workflow Workflow Type Digital Solution Center

This role is for one of Weekday's clients Min Experience: 3 years Location: Gurugram, NCR, Delhi, Haryana, Punjab, Uttar Pradesh, Kanpur JobType: full-time Requirements About the Role: We are seeking a skilled and passionate AI Engineer with a focus on Large Language Models (LLMs) to join our advanced AI and machine learning team. As an AI Engineer, you will play a vital role in designing, developing, and deploying intelligent systems that leverage the power of LLMs to solve real-world business challenges. You will work on cutting-edge projects that utilize the latest advancements in generative AI, natural language processing, and model fine-tuning techniques. This is an exciting opportunity for professionals who thrive in a fast-paced, innovative environment and are driven by curiosity, creativity, and a desire to work on meaningful AI applications. Key Responsibilities: Design, build, and optimize AI models with a strong focus on Large Language Models (e.g., GPT, BERT, T5, LLaMA). Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector search solutions to enhance model accuracy and contextual understanding. Fine-tune and evaluate pre-trained LLMs on domain-specific datasets to meet performance and accuracy benchmarks. Build robust APIs and tools for integrating AI-powered solutions into production systems and customer-facing applications. Collaborate with data scientists, product managers, and software engineers to align AI functionality with business needs. Conduct research and stay up-to-date with the latest developments in LLMs, NLP, and generative AI. Apply techniques such as prompt engineering, few-shot learning, and instruction tuning to improve model interaction quality. Ensure data integrity, performance optimization, and model explainability in all deployed solutions. Participate in code reviews, documentation, and knowledge sharing to maintain engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 3 years of hands-on experience working with AI/ML models, with at least 1-2 years focused on LLMs and NLP applications. Proficiency in Python and popular AI frameworks/libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or OpenAI APIs. Experience with vector databases like FAISS, Pinecone, or Weaviate for retrieval tasks. Strong knowledge of LLM fine-tuning, embeddings, tokenization, and transformer-based architectures. Solid understanding of data preprocessing, text generation, and evaluation metrics in NLP tasks. Familiarity with deployment tools and cloud platforms such as AWS, Azure, or GCP. Ability to work in a collaborative, agile environment and contribute to cross-functional AI initiatives. Preferred Skills: Experience working with RAG pipelines, multi-turn conversations, or enterprise search. Background in knowledge graphs, ontologies, or semantic search. Exposure to MLOps practices and automated model deployment pipelines. Publications or contributions in the field of AI/NLP are a plus.

This role is for one of Weekday's clients Min Experience: 3 years Location: Gurugram, NCR, Delhi, Haryana, Punjab, Uttar Pradesh, Kanpur JobType: full-time Requirements About the Role: We are seeking a skilled and passionate AI Engineer with a focus on Large Language Models (LLMs) to join our advanced AI and machine learning team. As an AI Engineer, you will play a vital role in designing, developing, and deploying intelligent systems that leverage the power of LLMs to solve real-world business challenges. You will work on cutting-edge projects that utilize the latest advancements in generative AI, natural language processing, and model fine-tuning techniques. This is an exciting opportunity for professionals who thrive in a fast-paced, innovative environment and are driven by curiosity, creativity, and a desire to work on meaningful AI applications. Key Responsibilities: Design, build, and optimize AI models with a strong focus on Large Language Models (e.g., GPT, BERT, T5, LLaMA). Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector search solutions to enhance model accuracy and contextual understanding. Fine-tune and evaluate pre-trained LLMs on domain-specific datasets to meet performance and accuracy benchmarks. Build robust APIs and tools for integrating AI-powered solutions into production systems and customer-facing applications. Collaborate with data scientists, product managers, and software engineers to align AI functionality with business needs. Conduct research and stay up-to-date with the latest developments in LLMs, NLP, and generative AI. Apply techniques such as prompt engineering, few-shot learning, and instruction tuning to improve model interaction quality. Ensure data integrity, performance optimization, and model explainability in all deployed solutions. Participate in code reviews, documentation, and knowledge sharing to maintain engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 3 years of hands-on experience working with AI/ML models, with at least 1-2 years focused on LLMs and NLP applications. Proficiency in Python and popular AI frameworks/libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or OpenAI APIs. Experience with vector databases like FAISS, Pinecone, or Weaviate for retrieval tasks. Strong knowledge of LLM fine-tuning, embeddings, tokenization, and transformer-based architectures. Solid understanding of data preprocessing, text generation, and evaluation metrics in NLP tasks. Familiarity with deployment tools and cloud platforms such as AWS, Azure, or GCP. Ability to work in a collaborative, agile environment and contribute to cross-functional AI initiatives. Preferred Skills: Experience working with RAG pipelines, multi-turn conversations, or enterprise search. Background in knowledge graphs, ontologies, or semantic search. Exposure to MLOps practices and automated model deployment pipelines. Publications or contributions in the field of AI/NLP are a plus.

This role is for one of Weekday's clients Min Experience: 3 years Location: Gurugram, NCR, Delhi, Haryana, Punjab, Uttar Pradesh, Kanpur JobType: full-time Requirements About the Role: We are seeking a skilled and passionate AI Engineer with a focus on Large Language Models (LLMs) to join our advanced AI and machine learning team. As an AI Engineer, you will play a vital role in designing, developing, and deploying intelligent systems that leverage the power of LLMs to solve real-world business challenges. You will work on cutting-edge projects that utilize the latest advancements in generative AI, natural language processing, and model fine-tuning techniques. This is an exciting opportunity for professionals who thrive in a fast-paced, innovative environment and are driven by curiosity, creativity, and a desire to work on meaningful AI applications. Key Responsibilities: Design, build, and optimize AI models with a strong focus on Large Language Models (e.g., GPT, BERT, T5, LLaMA). Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector search solutions to enhance model accuracy and contextual understanding. Fine-tune and evaluate pre-trained LLMs on domain-specific datasets to meet performance and accuracy benchmarks. Build robust APIs and tools for integrating AI-powered solutions into production systems and customer-facing applications. Collaborate with data scientists, product managers, and software engineers to align AI functionality with business needs. Conduct research and stay up-to-date with the latest developments in LLMs, NLP, and generative AI. Apply techniques such as prompt engineering, few-shot learning, and instruction tuning to improve model interaction quality. Ensure data integrity, performance optimization, and model explainability in all deployed solutions. Participate in code reviews, documentation, and knowledge sharing to maintain engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 3 years of hands-on experience working with AI/ML models, with at least 1-2 years focused on LLMs and NLP applications. Proficiency in Python and popular AI frameworks/libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or OpenAI APIs. Experience with vector databases like FAISS, Pinecone, or Weaviate for retrieval tasks. Strong knowledge of LLM fine-tuning, embeddings, tokenization, and transformer-based architectures. Solid understanding of data preprocessing, text generation, and evaluation metrics in NLP tasks. Familiarity with deployment tools and cloud platforms such as AWS, Azure, or GCP. Ability to work in a collaborative, agile environment and contribute to cross-functional AI initiatives. Preferred Skills: Experience working with RAG pipelines, multi-turn conversations, or enterprise search. Background in knowledge graphs, ontologies, or semantic search. Exposure to MLOps practices and automated model deployment pipelines. Publications or contributions in the field of AI/NLP are a plus.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role As a senior software engineer with Capgemini, you should have 4 + years of experience in Palantir Developer with strong project track record In this role you will play a key role in: Strong customer orientation, decision making, problem solving, communication and presentation skills Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies Strong executive presence and spirit Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority Your Profile 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. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: Unstructured Data Management Key Skills: identification of functional requirements, value , semantic layer Job Locations: Pan India Experience: 12+Years Budget: Based on Current CTC and Experience Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview Job Description: This role will support in creation of advanced data management guidelines (data architecture, data governance, data quality) towards managing / governing unstructured data at enterprise level e.g. defining the target operating model (defining the key stakeholders, R&R etc.) Major Accountabilities Drive adoption of Unstructured Data Management guidelines across business units and global functions Clearly articulate the value of managing unstructured data governance to key stakeholders like enterprise data owners, domain data architects, AI office etc. Drive the identification of functional requirements across business functions for designing the technology stack for governing unstructured data at enterprise level Drive the enterprise guidelines on building a semantic layer (ontologies & knowledge graphs) for managing unstructured data Interested Candidates please share your CV t o vamsi.v@people-prime.com

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · 3+ years of experience in implementing analytical solutions using Palantir Foundry. · · preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale. · · Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry. · · Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually. · · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · · At least 3 years of experience with Foundry services: · · Data Engineering with Contour and Fusion · · Dashboarding, and report development using Quiver (or Reports) · · Application development using Workshop. · · Exposure to Map and Vertex is a plus · · Palantir AIP experience will be a plus · · Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. · · Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary. · · Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships). · · Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well. · · Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry is necessary. · · Experience in MLOps is a plus. · · Experience in developing and managing scalable architecture & working experience in managing large data sets. · · Opensource contributions (or own repositories highlighting work) on GitHub or Kaggle is a plus. · · Experience with Graph data and graph analysis libraries (like Spark GraphX, Python NetworkX etc.) is a plus. · · A Palantir Foundry Certification (Solution Architect, Data Engineer) is a plus. Certificate should be valid at the time of Interview. · · Experience in developing GenAI application is a plus Mandatory skill sets: · At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry. · At least 3 years of experience with Foundry services Preferred skill sets: Palantir Foundry Years of experience required: Experience 4 to 7 years ( 3 + years relevant) Education qualification: Bachelor's degree in computer science, data science or any other Engineering discipline. Master’s degree is a plus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Science Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Palantir (Software) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

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

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

Summary Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers. About The Role Position Title: Associate Director Data Science Location – Hyd-India Hybrid About The Role We are seeking a highly skilled Data Science Architect to design and implement cutting-edge Data Science / Generative AI (GenAI) solutions tailored for the pharmaceutical and life sciences industry . This role will be responsible for defining AI strategies, selecting and fine-tuning generative AI models, and ensuring seamless integration with enterprise systems to enhance drug discovery, clinical trials, regulatory compliance, and patient-centric solutions. The AI/GenAI Architect will collaborate closely with data scientists, engineers, and business stakeholders to develop scalable, compliant, and high-performance AI applications that leverage large language models (LLMs), multimodal AI, and AI-driven automation . Your Responsibilities Include But Are Not Limited To GenAI Strategy & Roadmap: Define and implement a generative AI architecture and roadmap aligned with business goals in pharma and life sciences. Solution Design: Architect scalable GenAI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation. LLM Development & Optimization: Work with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications, such as scientific literature analysis, regulatory intelligence, and patient engagement. Cloud & On-Prem AI Infrastructure: Design GenAI solutions leveraging cloud platforms (AWS, Azure, GCP) or on-premise infrastructure while ensuring data security and regulatory compliance. MLOps & Deployment: Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments. Compliance & Governance: Ensure GenAI solutions comply with regulatory standards (FDA, EMA, GDPR, HIPAA, GxP, 21 CFR Part 11) and adhere to responsible AI principles, including bias mitigation and explainability. Performance Optimization: Drive efficiency in generative AI models, ensuring cost optimization and scalability while maintaining data integrity and compliance. Stakeholder Collaboration: Work with cross-functional teams, including platform teams, and Drug Development teams, to align GenAI initiatives with enterprise and industry-specific requirements. Research & Innovation: Stay updated with the latest advancements in GenAI, multimodal AI, AI agents, and synthetic data generation to incorporate emerging technologies into the company’s AI strategy. What You’ll Bring To The Role: Experience in GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence. Knowledge of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences. AI/ML certifications from AWS, Google, or Microsoft. Understanding of biomedical ontologies, semantic AI models, and federated learning. Exposure to fine-tuning the LLM models will be a big plus Exposure to SLM or domain LLM model will be a big plus. BioGPT & PubMedBERT: NLP for biomedical literature and clinical trial analysis. Custom SLMs: Fine-tune Mistral 7B, Phi-2, or Gemma on pharma datasets MLOps & DevOps: Familiarity with CI/CD, containerization (Docker, Kubernetes), vector databases, and real-time model monitoring. Regulatory & Ethical AI: Understanding of AI governance, responsible AI principles, and compliance requirements for GenAI in pharma. Problem-Solving: Strong analytical and problem-solving skills with the ability to design innovative GenAI solutions for life sciences use cases. Communication & Leadership: Excellent communication skills to articulate GenAI strategies and solutions to technical and non-technical stakeholders. Desirable Requirements: Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field. Experience: 8+ years in AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. Technical Expertise: Strong proficiency in Generative AI, large language models (LLMs), multimodal AI, and deep learning for pharma applications. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn, etc.). Experience with data engineering, ETL pipelines, and big data technologies (Spark, Kafka, Databricks, etc.). Proficiency in programming languages such as Python, R, or Java. Knowledge of cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI). Deploy a Lightweight LLM in a Pharma SaaS Platform Commitment To Diversity & Inclusion: Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. 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 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience - 3+ year. Extensive experience on backend development using Python. Strong proficiency with FastAPI or similar frameworks for building APIs. Experience with data modeling and working with ontologies to manage complex data relationships. Hands-on experience with graph databases such as AWS Neptune or similar. Proficiency in integrating AWS services to create scalable, secure backend solutions. Solid understanding of ETL processes, data migration, and performance optimization. Familiarity with best practices in code quality, security, and cloud architecture. Team player with strong communication skills and an agile mindset. RESPONSIBILITIES: Develop, test, and maintain robust, high-performance APIs using Python. Design and implement efficient data models for complex and evolving datasets. Build and optimize graph-based solutions leveraging AWS Neptune or equivalent. Architect backend solutions that scale seamlessly using AWS infrastructure. Collaborate closely with product owners, engineers, and stakeholders to translate requirements into actionable implementations. Support and enhance ETL pipelines, ensuring smooth data flow and migration processes. Proactively troubleshoot and resolve issues across development and production environments. Champion coding best practices, cloud security, and operational excellence. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

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

Summary Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers. About the Role Position Title: Associate Director Data Science Location – Hyd-India #LI Hybrid About the Role We are seeking a highly skilled Data Science Architect to design and implement cutting-edge Data Science / Generative AI (GenAI) solutions tailored for the pharmaceutical and life sciences industry . This role will be responsible for defining AI strategies, selecting and fine-tuning generative AI models, and ensuring seamless integration with enterprise systems to enhance drug discovery, clinical trials, regulatory compliance, and patient-centric solutions. The AI/GenAI Architect will collaborate closely with data scientists, engineers, and business stakeholders to develop scalable, compliant, and high-performance AI applications that leverage large language models (LLMs), multimodal AI, and AI-driven automation . Your responsibilities include but are not limited to GenAI Strategy & Roadmap: Define and implement a generative AI architecture and roadmap aligned with business goals in pharma and life sciences. Solution Design: Architect scalable GenAI solutions for drug discovery, medical writing automation, clinical trials, regulatory submissions, and real-world evidence generation. LLM Development & Optimization: Work with data scientists and ML engineers to develop, fine-tune, and optimize large language models (LLMs) for life sciences applications, such as scientific literature analysis, regulatory intelligence, and patient engagement. Cloud & On-Prem AI Infrastructure: Design GenAI solutions leveraging cloud platforms (AWS, Azure, GCP) or on-premise infrastructure while ensuring data security and regulatory compliance. MLOps & Deployment: Implement best practices for GenAI model deployment, monitoring, and lifecycle management within GxP-compliant environments. Compliance & Governance: Ensure GenAI solutions comply with regulatory standards (FDA, EMA, GDPR, HIPAA, GxP, 21 CFR Part 11) and adhere to responsible AI principles, including bias mitigation and explainability. Performance Optimization: Drive efficiency in generative AI models, ensuring cost optimization and scalability while maintaining data integrity and compliance. Stakeholder Collaboration: Work with cross-functional teams, including platform teams, and Drug Development teams, to align GenAI initiatives with enterprise and industry-specific requirements. Research & Innovation: Stay updated with the latest advancements in GenAI, multimodal AI, AI agents, and synthetic data generation to incorporate emerging technologies into the company’s AI strategy. What you’ll bring to the role: Experience in GenAI applications for medical writing, automated clinical trial protocols, drug discovery, and regulatory intelligence . Knowledge of AI explainability, retrieval-augmented generation (RAG), knowledge graphs, and synthetic data generation in life sciences. AI/ML certifications from AWS, Google, or Microsoft. Understanding of biomedical ontologies, semantic AI models, and federated learning . Exposure to fine-tuning the LLM models will be a big plus Exposure to SLM or domain LLM model will be a big plus. BioGPT & PubMedBERT: NLP for biomedical literature and clinical trial analysis. Custom SLMs: Fine-tune Mistral 7B, Phi-2, or Gemma on pharma datasets MLOps & DevOps: Familiarity with CI/CD, containerization (Docker, Kubernetes), vector databases, and real-time model monitoring. Regulatory & Ethical AI: Understanding of AI governance, responsible AI principles, and compliance requirements for GenAI in pharma. Problem-Solving: Strong analytical and problem-solving skills with the ability to design innovative GenAI solutions for life sciences use cases. Communication & Leadership: Excellent communication skills to articulate GenAI strategies and solutions to technical and non-technical stakeholders. Desirable Requirements: Bachelor's or Master's degree in Computer Science, AI, Data Science, Bioinformatics, or a related field. Experience: 8+ years in AI/ML development with at least 2 years in an AI Architect or GenAI Architect role in pharma, biotech, or life sciences. Technical Expertise: Strong proficiency in Generative AI, large language models (LLMs), multimodal AI, and deep learning for pharma applications. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, Scikit-learn, etc.). Experience with data engineering, ETL pipelines, and big data technologies (Spark, Kafka, Databricks, etc.). Proficiency in programming languages such as Python, R, or Java. Knowledge of cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI). Deploy a Lightweight LLM in a Pharma SaaS Platform Commitment to Diversity & Inclusion: Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential. 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 Division Operations Business Unit Universal Hierarchy Node Location India Site Hyderabad (Office) Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Data and Digital Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Company Description We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That's where you come in! Job Description REQUIREMENTS: Total experience - 3+ year. Extensive experience on backend development using Python. Strong proficiency with FastAPI or similar frameworks for building APIs. Experience with data modeling and working with ontologies to manage complex data relationships. Hands-on experience with graph databases such as AWS Neptune or similar. Proficiency in integrating AWS services to create scalable, secure backend solutions. Solid understanding of ETL processes, data migration, and performance optimization. Familiarity with best practices in code quality, security, and cloud architecture. Team player with strong communication skills and an agile mindset. RESPONSIBILITIES: Develop, test, and maintain robust, high-performance APIs using Python. Design and implement efficient data models for complex and evolving datasets. Build and optimize graph-based solutions leveraging AWS Neptune or equivalent. Architect backend solutions that scale seamlessly using AWS infrastructure. Collaborate closely with product owners, engineers, and stakeholders to translate requirements into actionable implementations. Support and enhance ETL pipelines, ensuring smooth data flow and migration processes. Proactively troubleshoot and resolve issues across development and production environments. Champion coding best practices, cloud security, and operational excellence. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

About Company: Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters. Job Title: QA-Functional Testing Location: Mumbai Experience: 12 Job Mode: Contract Work mode: contract Notice Period:- Immediate joiners. JD: Job Purpose This role will support in creation of advanced data management guidelines (data architecture, data governance, data quality) towards managing / governing unstructured data at enterprise level e.g. defining the target operating model (defining the key stakeholders, R&R etc.) Major Accountabilities Drive adoption of Unstructured Data Management guidelines across business units and global functions Clearly articulate the value of managing unstructured data governance to key stakeholders like enterprise data owners, domain data architects, AI office etc. Drive the identification of functional requirements across business functions for designing the technology stack for governing unstructured data at enterprise level Drive the enterprise guidelines on building a semantic layer (ontologies & knowledge graphs) for managing unstructured data