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

AI Agent Development - Python (CrewAI + LangChain) Location: Noida / Gwalior (On-site) Experience Required: Minimum 3+ years Employment Type: Full-time 🚀 About the Role We're seeking a AI Agent Developer (Python) with hands-on experience in CrewAI and LangChain to join our cutting-edge AI product engineering team. If you thrive at the intersection of LLMs, agentic workflows, and autonomous tooling — this is your opportunity to build real-world AI agents that solve complex problems at scale. You’ll be responsible for designing, building, and deploying intelligent agents that leverage prompt engineering, memory systems, vector databases, and multi-step tool execution strategies. 🧠 Core Responsibilities Design and develop modular, asynchronous Python applications using clean code principles. Build and orchestrate intelligent agents using CrewAI: defining agents, tasks, memory, and crew dynamics. Develop custom chains and tools using LangChain (LLMChain, AgentExecutor, memory, structured tools). Implement prompt engineering techniques like ReAct, Few-Shot, and Chain-of-Thought reasoning. Integrate with APIs from OpenAI, Anthropic, HuggingFace, or Mistral for advanced LLM capabilities. Use semantic search and vector stores (FAISS, Chroma, Pinecone, etc.) to build RAG pipelines. Extend tool capabilities: web scraping, PDF/document parsing, API integrations, and file handling. Implement memory systems for persistent, contextual agent behavior. Leverage DSA and algorithmic skills to structure efficient reasoning and execution logic. Deploy containerized applications using Docker, Git, and modern Python packaging tools. 🛠️ Must-Have Skills Python 3.x (Async, OOP, Type Hinting, Modular Design) CrewAI (Agent, Task, Crew, Memory, Orchestration) – Must Have LangChain (LLMChain, Tools, AgentExecutor, Memory) Prompt Engineering (Few-Shot, ReAct, Dynamic Templates) LLMs & APIs (OpenAI, HuggingFace, Anthropic) Vector Stores (FAISS, Chroma, Pinecone, Weaviate) Retrieval-Augmented Generation (RAG) Pipelines Memory Systems: BufferMemory, ConversationBuffer, VectorStoreMemory Asynchronous Programming (asyncio, LangChain hooks) DSA / Algorithms (Graphs, Queues, Recursion, Time/Space Optimization) 💡 Bonus Skills Experience with Machine Learning libraries (Scikit-learn, XGBoost, TensorFlow basics) Familiarity with NLP concepts (Embeddings, Tokenization, Similarity scoring) DevOps familiarity (Docker, GitHub Actions, Pipenv/Poetry) 🧭 Why Join Us? Work on cutting-edge LLM agent architecture with real-world impact. Be part of a fast-paced, experiment-driven AI team. Collaborate with passionate developers and AI researchers. Opportunity to build from scratch and influence core product design. Show more Show less

Secondary Research Executive Location: Mumbai The Opportunity: Join the Pulse of Global Conversations Are you curious about how public opinion shapes brands? Do you enjoy decoding headlines, connecting dots, and transforming noisy data into strategic signals? At Edelman Data & Intelligence (DXI), we’re looking for a Secondary Research Executive who can bring rigor, speed, and storytelling to media insight. DXI is Edelman’s global, multidisciplinary research, analytics, and data consultancy, with 350+ experts across 15 markets. We help businesses build trusted relationships with people by turning media, social, and digital signals into compelling insight narratives. Our projects span global brand reputation tracking, executive risk monitoring, and campaign measurement across industries like tech, healthcare, sustainability, and policy. We’re looking for someone who’s not only news-obsessed but also fluent in Boolean logic, multilingual media search (Google, Baidu), and fast-turn executive summaries. If you're eager to grow within a collaborative, insights-driven team — we want to hear from you. The Role of Secondary Research Executive You will be responsible for crafting clear, actionable, and client-relevant analysis through daily, weekly, or ad hoc media and issues monitoring. This role requires both precision and perspective — a perfect fit for someone who thrives on detail but thinks like a strategist. Key Responsibilities: • Build and refine Boolean search queries across global and regional media monitoring platforms (e.g., Meltwater, Factiva, Baidu). • Conduct advanced online searches to source and surface niche commentary in English and Chinese. • Monitor and summarize traditional, digital, and social media in real-time across topics, industries, and regions. • Write concise, insight-driven summaries and daily alerts for C-suite and senior communicators. • Apply tone and sentiment judgment to media articles with accuracy and consistency. • QA monitoring logs and summaries for formatting, tagging, and accuracy errors. • Clean and structure media data in Excel (e.g., deduplication, normalization, missing metadata handling). • Create visual outputs such as charts (e.g., volume over time, share of voice) using Excel or Google Slides. • Identify key trends and reputational risks or opportunities based on volume, tone, and influencer presence. • Collaborate with Research Managers and Analysts to align monitoring insights with strategic narratives. The Ideal Profile: • 1+ years of experience in media monitoring, research, PR analytics, or communications intelligence. • BA/BS in Communications, Journalism, Political Science, Data Analytics, or a related field. • Strong Boolean logic and search operator proficiency across monitoring tools. • Native or professional proficiency in English. • Familiarity with APAC media and digital ecosystems. • Comfortable summarizing quickly and accurately for high-stakes audiences. • Strong data hygiene and Excel skills (filters, pivot tables, conditional formatting). • Experience or interest in creating basic visualizations (e.g., column charts, line graphs). • Highly organized with a meticulous attention to detail. • Proactive, collaborative, and adaptable in a fast-paced, client-facing environment. What You’ll Gain • The opportunity to work at the front lines of media trends, public opinion, and crisis communications. • Development in insight writing, QA excellence, and measurement frameworks. • Mentorship from Edelman DXI’s regional and global experts. • A diverse and inclusive team that values curiosity, precision, and strategic storytelling. About Us: • We are a method-neutral consultancy We use quantitative and qualitative research, secondary research and media analysis, social-listening, and digital and business analytics to solve the issues facing our clients. • We think fast & slow We combine the need for real time insights and decision-making with an ability to take a step back to analyze trends, audience perspectives, innovation, and intelligence. • We value diversity Our team is made up of practitioners from different culture, origins, and academic backgrounds with varying professional experience and technical expertise. • Visit www.edelmandxi.com for more information Show more Show less

About Pinnacle Group: Pinnacle Group is a leading workforce solutions provider that empowers organizations to achieve their business objectives through innovative workforce strategies. We specialize in optimizing contingent workforce management and delivering tailored solutions that drive operational excellence. With a commitment to diversity and inclusion, Pinnacle Group fosters an environment of collaboration, growth, and success. Summary Pinnacle Group is seeking a strong analytical resource who will be responsible for maintaining and creating analysis and data visuals that will enable leaders of the program to make strategic decisions. Someone who is strong in data visualisation, experience working with complex tableau functionalities. Basic Function of Position The ideal candidate will champion change and effectively manage the implementation of new ideas. Proactively communicate and collaborate with external and internal stakeholders to analyze information needs and functional requirements. Participate in planning, needs analysis and risk assessment; consult with stakeholders on how to best support their data use through the effective use of technology. Ability to take large data sets and present to leadership opportunities and strategies in a condensed manner. Candidate will also be responsible for presenting actionable insights at monthly and quarterly program review sessions. Duties And Responsibilities: Conduct data analysis and create data visualizations to support strategic decision-making. Collaborate with internal and external stakeholders to understand information needs and functional requirements. Present actionable insights derived from data analysis during monthly and quarterly program review sessions. Identify opportunities, trends, and strategies aligned with organizational objectives through data analysis. Provide technology consultation to stakeholders on effective data utilization and tool selection. Champion the implementation of new ideas and manage change related to business intelligence processes. Participate in risk assessment activities to ensure data quality, security, and accuracy. Craft visually appealing PowerPoint presentations that communicate complex data findings. Utilize T-SQL skills for data extraction and manipulation within databases. Develop and use complex formulas, charts, and graphs in Excel for data analysis. Collaborate with cross-functional teams and demonstrate strong written and verbal communication skills. Maintain a high level of attention to detail to ensure data integrity. Utilize Tableau to create analytics visualizations for data-driven insights. Possess familiarity with programming languages such as Python, C#, PowerShell, SSIS packages, and Visual Studio (a plus but not required). Continuously stay updated on emerging technologies and trends in the business intelligence field. Qualifications Bachelor’s degree in MIS, Information Technology, Computer Science, or other quantitative major. Data management and analysis experience (3+ years working with databases and creating data visualisations for fortune 500 or top tier consulting company) Experienced in developing analytics visualisations. Strong knowledge of Tableau and intermediate to advanced Database and T-SQL skills Experienced in writing complex formulas and creating charts and graphs in Excel. Experience creating PowerPoint decks. Strong written and verbal communication skills Strong attention to detail is a must. Show more Show less

About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsu’s products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data. Role Purpose: As an AI-Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work. Roles and Responsibilities- Followings are Researcher’s duties: Technical Skills required- Advanced AI/ML Expertise : Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains. Up to date with the latest in AI algorithms & neural architectures ( e.g. , attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc . Proficient in AI/ML Programming : Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools. Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected. Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc .). Core Research Leadership Identify and Frame Research Problems : Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art. Develop Advanced Technologies : Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research. Conduct Rigorous Data Analysis : Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications. Collaboration & Knowledge Sharing Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors. Research Publication & IP : Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals. Academic Partnerships : Engage with academic institutions and collaborators, expanding Fujitsu’s network and promoting cutting-edge AI research. Industry Impact and Application Engage with Applied Research Teams : Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges. Support Technology Transition : Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact. Additional Expectations Scientific Leadership : Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs. Communication : Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights. Adaptability and Growth Mindset : Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets. Education & Research Experience : Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions. Show more Show less

Key Responsibilities: Lead or support migrations from traditional L2/L3 data center networks to Cisco ACI using an application-centric approach. Perform application dependency mapping and define ACI constructs such as tenants, application profiles, EPGs, and contracts. Translate existing firewall rules, VLANs, and routing policies into ACI policy models. Deploy, configure, and troubleshoot ACI components including APIC, Nexus 9000 series switches, leaf/spine fabrics, and fabric access policies. Collaborate with application teams to ensure accurate mapping of workloads and security policies. Integrate ACI with virtualization environments (e.g., VMware vCenter, ESXi). Monitor and troubleshoot ACI fabric issues, using tools like APIC GUI/CLI, SNMP, and Syslog. Conduct detailed cutover planning, testing, and rollback strategies for ACI migrations. Integrate ACI with virtual environments (VMware, Hyper-V), firewalls, and load balancers. Document technical designs, migration plans, and operational procedures. Train operations staff and provide post-migration support to ensure environment stability. , Required Qualifications: Bachelor’s degree in computer science, Network Engineering, or related field (or equivalent experience). 8+ years of experience in enterprise networking and 4+ years with Cisco ACI deployments. Strong understanding of data center networking, including VXLAN, routing protocols BGP, OSPF, multicast, and Layer 2/3 technologies. Experience with Cisco Nexus switches (especially Nexus 9000 series), APIC CLI/GUI, and troubleshooting ACI fabric issues. Strong understanding of ACI policy-driven networking, including bridge domains, contracts, L3Outs, and service graphs. Understanding of hybrid cloud networking and micro-segmentation concepts. Experience in ACI Migrations from Network-centric to application-centric migration in Cisco ACI. Demonstrated experience in application-centric ACI migrations, including dependency mapping and policy translation. Experience in analyzing existing network-centric environments, mapping applications to ACI constructs (tenants, EPGs, contracts), and executing migrations with minimal disruption. Strong troubleshooting and diagnostic skills. Preferred Skills: Hands-on experience with ACI Multi-Pod or Multi-Site environments. Knowledge of network automation (Python, Ansible) and ACI REST APIs. Experience with tools like Cisco NDP, MSO, or third-party app mapping solutions (e.g., Tetration, Algosec). Cisco certifications such as CCNP Data Center, Cisco ACI Field Engineer Specialist, or DevNet Professional. Show more Show less

Role – AIML Data Scientist Job Location : Hyderabad Mode of Interview - Virtual Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines 4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State of the art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Technology/Subject Matter Expertise Sufficient expertise in machine learning, mathematical and statistical sciences Use of versioning & Collaborative tools like Git / Github Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming Develop prototype level ideas into a solution that can scale to industrial grade strength Ability to quantify & estimate the impact of ML models Softskills Profile Curiosity to think in fresh and unique ways with the intent of breaking new ground. Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control Ability to think ahead, and anticipate the needs for solving the problem will be important Ability to communicate key messages effectively, and articulate strong opinions in large forums Desirable Experience: Keen contributor to open source communities, and communities like Kaggle Ability to process Huge amount of Data using Pyspark/Hadoop Development & Application of Reinforcement Learning Knowledge of Optimization/Genetic Algorithms Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios Optimize and tune deep learning model for best possible accuracy Understanding of stream data processing, RPA, edge computing, AR/VR etc Appreciation of digital ethics, data privacy will be important Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus Show more Show less

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

Job Description About Chemist Box Private Limited: Chemist Box Private Limited, a leading retail pharmacy chain in Patna, is seeking a dedicated Office Administrator to manage administrative operations efficiently. With 7 physical stores, 1 online outlet, and a commitment to exceptional service, we are the go-to destination for high-quality pharmaceutical products. Position: Office Administrator Location : Patna, Bihar (Nationwide applications welcome) Responsibilities Primary responsibilities Oversee day-to-day operations, ensuring SOP compliance. Coordinate office activities and operations for efficiency Accounts and Finance. Manage invoicing, billing, and financial record-keeping. Handle petty cash and reconciliation tasks Microsoft Excel Proficiency. Utilize advanced Excel functions for data analysis and reporting. Prepare spreadsheets, charts, and graphs. Inventory Control. Collaborate with the warehouse for stock management. Conduct regular audits to prevent discrepancies. Monitor stock levels, reorder supplies, and coordinate with vendors. Vendor Coordination and Ordering Communicate with vendors for timely procurement of office and pharmacy products. Place and track orders, negotiate contracts, and ensure timely deliveries. Stakeholder Relationships Establish and maintain strong relationships with customers, suppliers, and stakeholders. Qualifications: - Bachelor’s degree in business administration or related field. Minimum 2 years of relevant experience. Strong knowledge of accounts, Microsoft Excel, and office coordination. Excellent communication, leadership, and analytical skills. Ability to multitask and make informed decisions. Requirements: * Age above 25 years. No pharmacy license required. salary : 15k to 20k per month Requirements Requirements having expereience in admin having data entry operator expereience pharma and non pharma both relevant Show more Show less

Job Description Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem Improve Model accuracy to deliver greater business impact Estimate business impact due to deployment of model Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines Design, develop & deploy Deep learning models using TensorFlow / Pytorch Experience in using Deep learning models with text, speech, image and video data Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource TensorFlow, Pytorch, etc Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV Knowledge of State-of-the-art Deep learning algorithms Optimize and tune Deep Learnings model for best possible accuracy Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau Work with application teams, in deploying models on cloud as a service or on-prem Deployment of models in Test / Control framework for tracking Build CI/CD pipelines for ML model deployment Integrating AI&ML models with other applications using REST APIs and other connector technologies Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact. Show more Show less

Job Description What We Do At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Asset & Wealth Management Engineering Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our Asset Management business delivers innovative investment solutions through a global, multi-product platform and is one of the pre-eminent investment management organizations globally. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design. Who We Are The Asset & Wealth Management Data Office is a group within AWM whose primary responsibilities are to ensure that the data used for business and reporting purposes is well understood and of the highest quality available, implement the Firm’s data governance policies, and expand and improve the strategic data architecture. We work with global stakeholders to provide transparency into where data enters the firm, how it is transformed/reported/classified, and what data quality controls exist for critical datasets. Our internal clients use this information to gain insights – aiming to eliminate duplication, improve data quality, respond faster to new business opportunities, and to meet regulatory requirements. How You Will Fulfill Your Potential As a member of the team, you will gain satisfaction though adding value and contributing to the team’s initiatives. You will: Develop communication and reference materials that enable data consumers and producers to improve data quality and implement the data governance policy Provide guidance and training on how to plan implementation of requirements set forth by the policy Provide data quality analytics that enable data consumers and producers to drive remediation efforts Work with data consumers and producers to negotiate ownership of data Create lineage graphs to show how data moves from point of entry to where it is used Define and create appropriate data validation controls Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases Build consensus across senior stakeholders Partner closely with stakeholders to define and evolve firmwide data governance strategy Communicate progress to senior stakeholders and within the team Test and monitor data quality controls You will have the potential to Grow your understanding of data and the underlying businesses that use it Develop business, data analysis and relationship management skills Contribute to progressing the data strategy at Goldman Sachs Why join the team Interpersonal Communication: You’ll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You’ll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm’s clients. Creativity: You’ll be encouraged to suggest improvements to products and to propose ways, in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. The Responsibilities And Requirements Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Ability to work in a collaborative manner with stakeholders and drive consensus is essential. Experience working with a business team to develop functional requirements and translating those into technical requirements is important. Having developed an effective training and testing strategy is helpful. Responsibilities Play a central role in defining the strategic direction for Asset & Wealth Management in data initiatives Document Data Lineage from source to reporting Lead and participate in working groups to improve data quality and ease of access to information Help promote the data governance framework and drive adoption across all of the division Interface and coordinate with project team(s) to define objectives, develop approaches, create detailed schedules, provide status updates and prepare deliverables for projects Partner with stakeholders to ensure user tools meet for analyzing data meet user’s needs Stakeholder management /sponsors and users of all levels Test and monitor data quality controls Basic Requirements Bachelor’s degree 5+ years of relevant hands-on data governance, data quality, or data management experience Sufficient knowledge and the ability to run queries and participate in data analysis Proficiency in SQL, MS Excel, Data visualization tools, and Data Models Highly organized with exceptional communication, negotiation and influencing skills Relationship management: effectively partner with stakeholders with a focus on end-client value Knowledge of data warehousing and the development of physical and logical models Extremely proactive and works well in a collaborative environment Exceptional attention to detail and analytical thinking Ability to effectively communicate and present results highlighting the broader strategic impact Preferred Qualifications Experience of data governance or data management Prior experience in financial services industry Advanced proficiency in SQL, MS Excel, Data visualization tools, and Data Models May have a software engineering background (not required) Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Job Description What We Do At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Asset & Wealth Management Engineering Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our Asset Management business delivers innovative investment solutions through a global, multi-product platform and is one of the pre-eminent investment management organizations globally. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design. Who We Are The Asset & Wealth Management Data Office is a group within AWM whose primary responsibilities are to ensure that the data used for business and reporting purposes is well understood and of the highest quality available, implement the Firm’s data governance policies, and expand and improve the strategic data architecture. We work with global stakeholders to provide transparency into where data enters the firm, how it is transformed/reported/classified, and what data quality controls exist for critical datasets. Our internal clients use this information to gain insights – aiming to eliminate duplication, improve data quality, respond faster to new business opportunities, and to meet regulatory requirements. How You Will Fulfill Your Potential As a member of the team, you will gain satisfaction though adding value and contributing to the team’s initiatives. You will: Develop communication and reference materials that enable data consumers and producers to improve data quality and implement the data governance policy Provide guidance and training on how to plan implementation of requirements set forth by the policy Provide data quality analytics that enable data consumers and producers to drive remediation efforts Work with data consumers and producers to negotiate ownership of data Create lineage graphs to show how data moves from point of entry to where it is used Define and create appropriate data validation controls Partner with users and provide feedback on the strategic tooling to engineering teams for business use cases Build consensus across senior stakeholders Partner closely with stakeholders to define and evolve firmwide data governance strategy Communicate progress to senior stakeholders and within the team Test and monitor data quality controls You will have the potential to Grow your understanding of data and the underlying businesses that use it Develop business, data analysis and relationship management skills Contribute to progressing the data strategy at Goldman Sachs Why join the team Interpersonal Communication: You’ll engage with data producers and consumers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. Autonomy: You’ll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm’s clients. Creativity: You’ll be encouraged to suggest improvements to products and to propose ways, in which we can add value for our stakeholders. Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. The Responsibilities And Requirements Experience working with stakeholders on projects to develop strategies and solutions, ideally related to data. Ability to work in a collaborative manner with stakeholders and drive consensus is essential. Experience working with a business team to develop functional requirements and translating those into technical requirements is important. Having developed an effective training and testing strategy is helpful. Responsibilities Play a central role in defining the strategic direction for Asset & Wealth Management in data initiatives Document Data Lineage from source to reporting Lead and participate in working groups to improve data quality and ease of access to information Help promote the data governance framework and drive adoption across all of the division Interface and coordinate with project team(s) to define objectives, develop approaches, create detailed schedules, provide status updates and prepare deliverables for projects Partner with stakeholders to ensure user tools meet for analyzing data meet user’s needs Stakeholder management /sponsors and users of all levels Test and monitor data quality controls Basic Requirements Bachelor’s degree 2-5 years of relevant hands-on data governance, data quality, or data management experience Sufficient knowledge and the ability to run queries and participate in data analysis Proficiency in SQL, MS Excel, Data visualization tools, and Data Models Highly organized with exceptional communication, negotiation and influencing skills Relationship management: effectively partner with stakeholders with a focus on end-client value Knowledge of data warehousing and the development of physical and logical models Extremely proactive and works well in a collaborative environment Exceptional attention to detail and analytical thinking Ability to effectively communicate and present results highlighting the broader strategic impact Preferred Qualifications Experience of data governance or data management Prior experience in financial services industry Advanced proficiency in SQL, MS Excel, Data visualization tools, and Data Models May have a software engineering background (not required) Goldman Sachs Engineering Culture At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2025. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 5 to 8 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills T echnical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Basics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

We're looking for a Full Stack Engineer who can own both backend API development and sleek frontend interfaces, and is comfortable turning product ideas into real, high-performing features. Responsibilities Design, build, and maintain robust backend REST APIs using FAST API that power dashboards, charts, and insights. Build dynamic, responsive UI components with advanced filtering, slicing/dicing, and custom visualization setups. Work with large datasets to create interactive dashboards and custom data visualizations, and real-time chart updates using React.js and charting libraries. Implement custom chart/graph components using libraries like Recharts, Chart.js, D3.js, Nivo, or ECharts. Aggregate and process business data from various internal and external sources. Ensure frontend performance, responsiveness, and smooth user experience across devices. Collaborate with product, design, and data teams to create seamless user flows. Write clean, modular, and maintainable code across both frontend and backend. Deploy and manage applications and services on AWS (EC2 S3 RDS, Lambda, etc. ). Ensure high availability, scalability, and security of the application. Participate in architectural discussions and bring innovative backend solutions to the table. Requirements Experience or strong interest in working with AI/ML APIs or third-party AI services. Resourceful, self-driven, and comfortable solving problems independently. A startup-ready mindset, proactive, adaptable, and eager to learn. 4-6 years of experience as a full-stack engineer (or strong experience in both frontend + backend work). Strong experience in building APIs (Node.js, Python, or similar). Proficiency with modern frontend frameworks like React, Vue, or Angular. Good understanding of SQL and experience working with relational databases (PostgreSQL, MySQL, etc. ). Hands-on experience deploying applications on AWS Cloud. Ability to solve problems independently, take initiative, and work without micromanagement. Strong UI/UX sense, able to build sleek, modern, and highly responsive interfaces. Familiar with handling and visualizing large datasets through charts/graphs (D3.js, Chart.js, Recharts, etc. ). Solid understanding of authentication, authorization, and security best practices. Nice To Have Experience with e-commerce platforms (Shopify, Amazon, WooCommerce). Familiarity with data visualization libraries and dashboard frameworks. Exposure to tools like Docker, CI/CD pipelines. Experience with state management (Redux, Zustand, etc. ). This job was posted by Harika K from Invictus. Show more Show less

We are seeking a highly skilled and motivated Python/FastAPI or Python/Django Developer to join our team. You will be responsible for building AI-native platforms, which are powered by agentic AI workflows and open-source LLMs. What we are looking for: an individual who is highly motivated, ambitious, strong in communication skills, and extremely good at learning new technologies and implementing them to solve problems. One big advantage of working with us is that you will learn the latest and greatest of AI / ML technologies in the process. You will gain hands-on skills in agentic AI, LLMs, prompting, vector search, knowledge graphs, and more. Responsibilities Create scalable REST APIs using FastAPI, Django Rest Framework. Develop and maintain web applications from concept to deployment. Integrate Agentic frameworks, workflows, and LLM prompting and tool calling into the backend stack. Deploy, manage, and maintain the platforms on cloud platforms, build CI/CD pipelines, and monitoring systems. Leverage a methodical approach to vibe coding, using tools like Windsurf, Cursor to speed up your dev process. Rapidly pick up new AI architectures and technologies, test them out, and implement them if needed. Improve the scalability of our systems - using threads, workers, queues, and async processes. Methodically follow through on all tasks, update the Kanban board, and ensure a bug-free codebase. Requirements Bachelor's degree in Computer Science or Computer Engineering (mandatory) - with great grades. 1-2 years of experience as a Python Backend Developer (mandatory). Expert knowledge of the Python language in combination with FastAPI or Django (mandatory). Demonstrated experience with Linux systems is mandatory. You should be highly comfortable and familiar with Linux (mandatory). Experience working with databases (e. g., MySQL, MongoDB, PostgreSQL). Expertise with RESTful APIs and web services. Ability to understand emerging programming paradigms and write clean, commented, and easy-to-understand code. Driven, ambitious, motivated. Strong communication and collaboration skills. Experience with cloud services (e. g., AWS, Azure, Google Cloud Platform). Knowledge of DevOps practices and tools. Should have live projects and a GitHub profile. This job was posted by Arpita Lahiri from Superteams.ai. Show more Show less

C1 Company Overview C1: 1 Contact, 1 Connection, 1 Choice C1 is the foremost, single-source provider of advanced communications and data technology for business. That means if it's digital, we connect our customers to it -- from phone systems and hardware to computer networks, application development, managed solutions and more. And we're 100% passionate with designing, implementing, managing and supporting our customers' every need from end to end, so that they can focus on what they do best. So, when it comes to joining a team of IT and communications technology pros who are empowered to do what they do best, your best choice -- your #1 choice -- is C1. Summary Overview The Business Analyst’s role is to analyze, specify and validate the business needs of the organizations. In this role, the BA will plan, design, develop, and launch efficient business, financial, and operations systems in support of core organizational functions and business processes. This includes gathering and analyzing data in support of business cases, proposed projects, and systems requirements. The Business Analyst is also responsible for supporting the development process, and ensuring that project deliverables are met according to specifications. This individual will apply proven communication, analytical, and problem-solving skills to help maximize the benefit of IT system investments. Responsibilities Essential Functions Meets with executive leadership, decision makers, business owners, technical owners, and end users to define business, financial, and operations requirements and systems goals, and identify and resolve systems issues Collaborates with project managers and project sponsors to determine project scope and vision Identifies project stakeholders and establish roles and responsibilities (process owners, change champions, etc.) Conducts interviews and product analysis to gather user requirements via workshops, questionnaires, surveys, site visits, workflow storyboards, use cases, scenarios, and other methods Develops and utilizes standard templates to accurately and concisely write requirement specifications Translates conceptual user requirements into functional requirements in a clear manner that is comprehensible to developers/project team Develops prototypes of interfaces and attributes based on findings Analyzes and verifies requirements for completeness, consistency, comprehensibility, feasibility, and conformity to standards Identifies and establishes scope and parameters of requirements analysis in order to define impact, outcome criteria, and measure-taking actions Works with stakeholders and project team to prioritize collected requirements Creates process models, specifications, diagrams, and charts to provide direction to developers and/or the project team Develops and conducts peer reviews to ensure that requirement specifications are correctly interpreted Manages and track the status of requirements throughout the project lifecycle; enforce and redefine as necessary Communicates changes, enhancements, and modifications – verbally or through written documentation project managers, sponsors, and other stakeholders so that issues and solutions are understood Researches, reviews, and analyzes the effectiveness and efficiency of existing requirements-gathering processes and develop strategies for enhancing or further leveraging these processes Assists in conducting research on software and hardware products to justify recommendations and to support purchasing efforts Establishes practices and procedures that work towards the continuous improvement of the requirements process Provides guidance and/or instruction to junior staff members Qualifications Required Qualifications College diploma or university degree in software engineering, computer science, or business administration or equivalent work experience 5 or more years in business analyst experience (Proven experience with business and technical requirements analysis, elicitation, modeling, verification, and methodology development) Ability to create systematic and consistent requirements specifications in both technical and user-friendly language 2 years direct experience in the creation of test scripts and the execution of testing such as Smoke, String, Unit, Load, System, QA, UAT, PIV, Regression or others Strong knowledge of testing best practices and methodologies Experience with testing web and desktop applications Proven data analysis, data verification, and problem-solving abilities Excellent PC skills and technical fluency Familiarity with software and database development and network architecture Experience with formal project management methodologies Exemplary attention to detail Desired/Preferred Qualifications Experience with core software applications, including MS CRM, Sharepoint, MS GP, SQL Server 2005 and above Experience in overseeing the design, development, testing and implementation of software solutions, systems, or products Experience importing data for use in report software, spreadsheets, graphs, and flow charts Experience creating project charters, process diagrams, functional specifications, report layouts, training materials, use cases, and system text scripts Excellent written and oral communication skills Excellent listening, presentation, and interpersonal skills Ability to communicate ideas in both technical and user-friendly language Able to prioritize and execute tasks in a high-pressure environment Ability to be self-motivating and work independently Experience working in a team-oriented, collaborative environment Additional Information C1 BENEFITS 401(k) Plan (35% employer match per dollar up to 10% employee contribution) Medical Coverage (3 platforms: UnitedHealthcare, Reference Based Pricing includes comprehensive member advocacy; and Kaiser) HSA with + Employer Contribution In-vitro Fertility (treatment coverage) Dental Vision (2 plans: 12-month and 24-month frames allowance) FSA Plans (Healthcare, Dependent care and Limited Purpose) Pre-tax Commuter Plans Employer-paid Life Insurance Employer-paid Short + Term Disability Long Term Disability (2 plans: Employer-paid and Self-paid with non-taxable claim payments) Paid Parental Leave (4 weeks at 100%) Employee Assistance Plan Voluntary Life Insurance Legal/ID Theft Plans TeleHealth Options Wellness via Omada Health (healthy living solution) Travel Assistance Business Travel Accident Coverage Employer-paid Pet Telehealth Accident Insurance Critical Illness Insurance Hospital Indemnity Insurance Volunteer Time Off On Demand Pay (Daily Pay) Work Environment Ability to handle multiple priorities and demands in a fast-paced environment. This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. Physical Environment Physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. Other Duties/Changes This job description is not designed to cover or contain a comprehensive listing of all duties, responsibilities or activities that are required of a team member for this job. Duties, responsibilities and activities may change at any time with or without notice. At any point in time, the essential functions and primary duties associated with this position will be the principal, major or most important duties, responsibilities and activities that the employee is expected to perform as determined and directed by C1. EEO Statement C1 provides equal employment opportunities (EEO) to all team members and applicants for employment opportunities. All qualified applicants will receive consideration for employment, and all team members will be treated with respect to their employment, without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability or veteran status. For further details please view the Equal Employment Opportunity Posters provided by OFCCP. http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm Notice of E-Verify Participation https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf < https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf > Right to Work https://www.e-verify.gov/sites/default/files/everify/posters/IER_RightToWorkPoster%20Eng_Es.pdf Show more Show less

About the role The Reporting Analyst III is part of the GenAI Crowdsourcing Team, is responsible for building reporting dashboards, leads, or takes part in projects that may require development for the performance management of Crowdsourcing team members. Responsibilities: Requirements analysis Input on assessment and planning activities Data model design Solution building Risk assessment/mitigation (manual/automated) Functional unit testing User Acceptance Testing (i.e. testing overall functionality of dashboard or reporting and ensuring data accuracy) Extracting and gathering data from sources and processes them into consumable outputs based on requirements Documentation of process and creation of user guides Provides support and assists in troubleshooting and resolving issues reported or flagged by end-users Escalates any data or tool-related issues to the proper channel as needed Continuous alignment to program/account reporting scope Requirements: Minimum of 1-year recruitment operations experience with a background in data analytics using a variety of BI tools (i.e. Google Sheets, Google Data Studio, MS Excel, Sisense, etc.) - Desirable Knowledge of recruiting metrics preferred Schedule flexibility is required This is a hybrid role Skills: Excellent verbal, written, and presentation communication Skills Intellectually curious – fast and self-driven learner in areas including new business models, analytical techniques, technical skills, etc. Demonstrated analytical and problem-solving experience Demonstrated strong organizational, time management, prioritization, and coordination skills Ability to self-initiate follow up, work independently and adhere to deadlines Ability to build strong stakeholder relationships and foster ownership, innovation, and collaboration within a team Average to advance proficiency on data analysis and data modeling Advanced analytical thinking Ability to understand client requests and translate them into Looker Studio solutions Flexibility to work on ad hoc tasks required by stakeholders Knowledge: English B2 - Required Proficiency with MS Office or Google Workspace applications (MS Excel, Google Sheets, Google Data Studio, etc.) with the ability to create charts, graphs, pivot tables, and complex formulas Ability to learn to navigate new tools and dashboards Studies & Experience: Bachelor’s degree in any course (bachelor's or advanced degree in quantitative domain e.g. Analytics, Statistics, Maths or relevant experience in data analytics or BI is an advantage.) Quality experience - Desirable Show more Show less

Make a +Difference at Kraton! At Kraton, we make a Positive Difference, and we are looking for individuals who are also looking to make a difference in their jobs, for our customers and to the world. We are looking to hire a key member of our India team at our Mumbai Office. The Administrative Assistant will perform a variety of administrative and office support duties to ensure efficient operation of the designated Kraton facility. The role will support managers and employees through a variety of tasks related to organization and communication. Key Responsibilities The Administrative Assistant will perform a variety of administrative and office support duties to ensure efficient operation of the designated Kraton facility. The role will support managers and employees through a variety of tasks related to organization and communication. The key responsibilities of this position include but are not limited to: Coordinate and arrange activities such as meetings/conferences (onsite and offsite) and travel (domestic and international - including booking flights, hotel reservations and rental cars). Respond to phone, email and website inquiries, fielding/answering all routine and non-routine questions within 24 hours. Maintain assigned calendars; prepare meeting agendas and general correspondence, including memos, charts, tables and graphs. Prepare, reconcile and process invoices in SAP and expense reports in Concur. Assist in the preparation and processing of VISA and Passport applications. Assist with special projects and activities. Keeping record of imports to local warehouse and review and processing import raw data. Coordination with third parties and customers. Perform other duties and tasks as assigned. Required Skills Minimum 3 years of administrative experience and/or experience in a progressive office environment of similar nature. Excellent written and verbal communication skills in English and Hindi with the ability to interact and present information to individuals across multiple levels of the organization. Strong interpersonal skills with the ability to work well in a team environment. Proficiency in Microsoft Office, including Outlook, Word, Excel and PowerPoint. Working knowledge of SAP system. Education, Certifications & Licenses Bachelor’s degree in any stream. Diploma in Management preferred. -------------------------------------------------- The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Kraton’s internal talent acquisition team manages our recruiting efforts and from time to time works with pre-selected/pre-approved external staffing agencies. We do NOT accept unsolicited resumes or candidate referrals from recruiters and/or agencies who are not pre-selected/pre-approved. Kraton is proud to be an Equal Opportunity Employer. Show more Show less

Role Description The Publishing & Marketing Analyst will join the COO team within the Global Investment Office, working closely with authors and content creators throughout the department to format and repurpose content for a variety of Wealth Management audiences. This individual will also collaborate with our risk and marketing partners and be responsible for some administrative COO team functions. Primary Responsibilities Publishing/Marketing Become an expert on the proprietary Adobe based AEM publishing platform used to create content which is consumed by financial advisors and their clients. Provide author support for document layout, including formatting of charts and graphs. Quarterback maintenance and formatting of flyers, brochures, articles, and social media. Create presentation decks and marketing materials using PowerPoint. Managing NBA and social media creation, CRC approval process Converting long form content into bite size, consumable insights in multiple formats (e.g., one-page summaries, talking points, short form videos, NBAs, etc.) Converting Training content into short-form, consumable modules (e.g., most training is 60–90-minutes, we need to pull out 4-5 minutes snip its) COO Functions: Support for myGIO, Wealth Management’s digital content platform, Perform search audits of myGIO and enhance tagging of content Managing Continued Education (CE) Process for key designations in Investing with Impact (Director Designation) and Financial Planning (CFP and FPS) which involves collecting information, processing and sharing information from participants with appropriate groups to ensure credit is received. Financial Planning Tool Access Requests (eg LVPWA, WSA), Financial Planning Fee Policy Mgmt and Oversight (ongoing review of charged fees to ensure policy alignment) Ongoing FP Designation management, FP Desk Ticket Processing Qualifications 1-2 years of relevant work experience, bachelor’s degree Knowledge of Microsoft Word, Microsoft Excel, PowerPoint Strong attention to detail Knowledge and interest in the finance industry and markets strongly preferred. Excellent writing/editing skills, ability to produce digital content for an external audience. Comfort juggling multiple priorities; strong organizational and time management skills. Ability to work effectively as a member of a team or independently. Persistence, tenacity and drive for results What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

India - Hyderabad JOB ID: R-210834 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Apr. 03, 2025 CATEGORY: Regulatory Roles and Responsibilities Performs document-level QC (including abbreviations, references to sources, data in text versus data in tables, figures, or graphs, etc.) to ensure submission readiness quality Ensures the consistency and accuracy of layouts, fonts, margins, styles, and spacing, logical content organization, and proper use of headings, tables, images, and footnotes applying Amgen submission readiness formatting guidelines to create professional documents Coordinates document collection with cross-functional team members and ensures publishing readiness of the documents Participates in collaborative team activities for noncomplex documents, including support to collect input from authors/reviewers Participates in the cross-functional document review process Participates in project management activities, i.e., timeline tracking and scheduling meetings with team members Learns and uses organizationally required authoring tools and technology platforms Attends cross-functional meetings with writers and departments, as appropriate, to share and gather information relevant for successful completion of assigned documents Documents in scope include, but are not limited to: Clinical Study Reports, Observational Research Study Reports, Plain Language Summaries, Investigator’s Brochures, local Risk Management Plans, noncomplex Original Protocols/ Protocol Amendments, Plain Language Protocol Summaries, and Informed Consent Forms Understands and complies with SOPs, templates, best practices, policies, Regulatory Writing Style Guides Compiles and maintains product-specific reference libraries across therapeutic areas Basic Qualifications Graduated with a Bachelor’s degree in science from an accredited college or university Preferred Qualifications 1-2 years of experience formatting, performing QC reviews, and managing the coordination of regulatory/clinical documents at a pharma/biotech or similar organization Some scientific or medical knowledge Some exposure to basic statistical and medical communication principles Strong oral and written communication skills Able to collaborate with others and build solid and positive relationships with cross‐functional team members Able to work independently and problem solve Attention to detail and accuracy Organizational skills in time and project management, including ability to manage multiple projects simultaneously Strong knowledge of document management systems and typical office applications (eg, Microsoft Office, SharePoint)

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing… As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What We’re Looking For You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll Need To Have Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #AI&D Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life. What You'll Be Doing… As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What We’re Looking For You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll Need To Have Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Qualifications ● 4 + years in data science or machine-learning roles (NLP or time-series a plus). ● Hands-on with clustering, anomaly detection, and causal-inference techniques. ● Strong Python (pandas, scikit-learn, PyTorch/TensorFlow) and solid SQL. ● Experience turning notebooks into production jobs via Airflow, Flyte, or similar. ● Comfortable with vector databases and similarity search (Faiss, PGVector, etc.). ● You think in experiments, communicate results clearly, and love shipping incrementally. Key Responsibilities ● Pattern Discovery – Build unsupervised / semi-supervised models (HDBSCAN, metric learning, spectral, etc.) that group similar issues and surface them for human review. ● Trend Detection & Forecasting – Design change-point and anomaly detectors, then forecast issue volume with Prophet, NeuralProphet, or your tool of choice. ● Cross-Channel Correlation – Link signals across chat, email, voice, and social to reveal how pain points bounce between channels. ● Root-Cause & Prescriptive Modeling – Apply causal graphs or lightweight GNNs to suggest likely drivers and remediation actions. ● Active-Learning Loops – Create feedback workflows that let analysts merge/split clusters and continuously improve model accuracy. ● Experimentation & Metrics – Define success criteria, run controlled experiments, and publish clear, visual results for the team. ● Collaboration – Partner with the LLM, platform, and dashboard engineers to deliver end-to-end features—then measure the lift. Job Type: Full-time Pay: Up to ₹1,000,000.00 per year Benefits: Provident Fund Schedule: Morning shift Supplemental Pay: Performance bonus Experience: machine learning: 4 years (Preferred) data science: 4 years (Preferred) python: 2 years (Required) Work Location: In person

Set specific, measurable targets for calls made and meetings scheduled Use charts or graphs to visualize your performance against the set targets. A person, with good communication skills, dedicated to working. Calling to sales person for sales and target Making sheet in excel for target achieve. Key Skills Required Proficient in spoken and written communication. Good knowledge of Hindi and English language. Any relevant experience of marketing will be appreciated. Must be committed to work and deliver targets in time Must be insightful, curious and always passionate to learn more A person with creative problem solving and entrepreneurial streak will be most welcomed Job Type: Full-time Pay: ₹12,000.00 - ₹20,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Language: Hindi (Preferred) English (Preferred) Work Location: In person

Join a Montreal headquartered company that helps organizations around the world create a personalized journey of impact and fulfillment for their people. Explorance offers innovative People Insight Solutions because we believe that each experience matters. Explorance is a rapidly growing software company recognized for its unique workplace culture. We strive to be the best we can for our people, our customers, and the community. Currently, we are looking for a Lead Front-End Developer who always strives for software excellence and continuous improvement. The Lead Front-End Developer will design and develop new features and enhancements to software applications that meet business specification. Primary responsibilities include wireframing and frontend implementation, user experience, usability, CSS layout, DOM manipulation, progressive enhancement / graceful degradation, cross-browser testing, unit testing, accessibility, use interaction and user interface design. If you think you'll enjoy working in a result-driven laid-back environment with flexible hours, then keep reading. What you will do as our new Lead Front-End Developer: Improve the quality of the existing UI and develop new user-facing features Ensure the technical feasibility of UI/UX designs Optimize application for maximum speed and scalability Reorganizing the software flow to uplift the user experience Build reusable code and libraries for future use Collaborate with other team members and stakeholders Perform code reviews, unit testing, and system testing as needed for other developers' efforts. At a minimum, code reviews, unit testing, and system testing should ensure all requirements have been addressed, all basic functionality works, and errors are handled properly. Here's what you'll bring to the role: 12+ years experience Knowledge ASP .NET and page life cycle Proficient understanding of web markup, including HTML5, CSS3 Proficient understanding of adaptive and responsive designs and tools such as Bootstrap Proficient understanding of client-side scripting and JavaScript frameworks, including jQuery Good understanding of advanced JavaScript libraries and frameworks, such as Angular, Vue.JS, React, or Ember etc., or JS-based build tools like Grunt, Gulp, and Bower Understanding of server-side CSS pre-processing platforms, such as LESS and SASS Good understanding of asynchronous request handling, partial page updates, and AJAX Proficient understanding of cross-browser compatibility issues and ways to work around them. Proficient understanding of code versioning tools, such as GIT Tools and Languages: Version Control (e.g., GIT), Visual Studio 2015+, ASP.NET / MVC, Data formats (e.g., JSON, XML), Data APIs (e.g. Restful API), Web Font Embedding, Scalable Vector Graphics (aka SVG), Responsive Web Design, Object-Oriented Programming, JavaScript Animation, CSS Animation, Charts / Graphs, UI Widgets, Code Quality Testing, Integration Testing, Templating Strategies, Other Requirements: Only apply if you are a Chennai (or surroundings) resident that is interested in being part of a vibrant and highly engaged at-the-office culture. At Explorance, we take inclusion to heart and live it each day. We put the ‘human’ first in everything we do and take pride in our authenticity and culture of inclusion. We therefore encourage persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply. We make employment-related decisions without regard to any of these characteristics. And to ensure a safe workspace for all our employees, all employment is contingent upon receipt of a satisfactory background and reference check. About Explorance Explorance empowers organizations with next-generation feedback analytics to accelerate the insight-to-action cycle, encouraging the philosophy of “Feedback for the brave” to drive purpose, impact, and growth. Bringing 20 years of expertise, Explorance, a member of the World Economic Forum and a trusted partner for 35% of Fortune 100 companies and 25% of the world’s top higher education institutions, has influenced over 25 million individuals with award-winning solutions like Blue, Metrics That Matter, and MLY. Consistently among the top employers by the Great Places to Work Institute®, Explorance, a Brandon Hall AI award winner, is also a two-time Global Leader in the 360-degree feedback market by Fortune Business Insights. Visit explorance.com or connect on LinkedIn, Facebook, and X.