885 Vertex Jobs - Page 36

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Develop CCAI- flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline. - Apply GenAI-Vertex AI models as part of the solution, - Ensure proper cloud application pipeline with production-ready quality. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Have some understanding of AI/ML algorithms and techniques. - Experience with chatbot, generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 5 years of experience in Google Cloud Machine Learning Services. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying, and optimizing chatbots and voice applications using Google Conversational Agents and other tools. Roles & Responsibilities: - Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI. - Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX. - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms, NLP and techniques. - Experience with chatbot , generative AI models, prompt Engineering. - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 10 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15-year full time education is required 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education As an AI/ML technical lead, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: - Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. - Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services - Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya - Integrate with IVR systems and Proficiency in webhook setup and API integration. - Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks. - Creation of agents in Agent builder and integrating them into end end to pipeline using python. - Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. - Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities - Implement and integrate backend services (using Google Cloud Functions or other APIs) to fulfill user queries and actions. - Document technical designs, processes, and setup for various integrations. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: - Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. - Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, - Strong understanding of AI/ML algorithms and techniques. - Experience with chatbot , generative AI models, prompt Engineering - Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 7 years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 years full time education is required 15 years full time education

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products. 3 years of experience with software design and architecture. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Provide technical leadership on high-impact projects. Influence and coach a distributed team of engineers. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance large scale software solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Who are we? Founded in 2014 by Khadim Batti and Vara Kumar, Whatfix is a leading global B2B SaaS provider and the largest pure-play enterprise digital adoption platform (DAP). Whatfix empowers companies to maximize the ROI of their digital investments across the application lifecycle, from ideation to training to the deployment of software. Driving user productivity, ensuring process compliance, and improving user experience of internal and customer-facing applications. Spearheading the category with serial innovation and unmatched customer-centricity, Whatfix is the only DAP innovating beyond the category, positioning itself as a comprehensive suite for GenAI-powered digital adoption, analytics, and application simulation. Whatfix product suite consists of 3 products - DAP, Product Analytics, and Mirror. This product suite helps businesses accelerate ROI on digital investments by streamlining application deployment across its lifecycle. Whatfix has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries. Customers: 700+ enterprise customers, including over 80 Fortune 500 companies such as Shell, Microsoft, Schneider Electric, and UPS Supply Chain Solutions. Investors: Raised a total of ~$270 million. Most recently Series E round of $125 Million led by Warburg Pincus with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer Investments, Peak XV Partners, and Stellaris Venture Partners. With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards. Recognized as a “Leader” in the digital adoption platforms (DAP) category for the past 4+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group. The only vendor recognized as a Customers’ Choice in the 2024 Gartner® Voice of the Customer for Digital Adoption Platforms has once again earned the Customers’ Choice distinction in 2025. 4.5 on Gartner Peer Insights, and a high CSAT of 99.8% Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fourth Consecutive Year Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal We don't believe in keeping the applicants hanging and give very high importance to closing the loop irrespective of the outcome of your application. Stay up-to-date with the latest trends and advancements in AI and machine learning to recommend and implement cutting-edge technologies. AI Engineer - Internal Applications We are seeking a highly motivated and skilled AI Engineer to design, develop, and deploy AI-driven solutions that streamline internal processes, enhance productivity, and improve employee experience. The AI Engineer will work closely with cross-functional teams to identify automation opportunities, build scalable AI models, and integrate them into internal applications. This role requires a strong technical foundation in artificial intelligence, machine learning, and natural language processing, combined with a passion for solving complex business problems. Key Responsibilities: AI Solution Development: Develop and deploy AI models and algorithms to automate internal processes, enhance decision-making, and improve productivity. Build and fine-tune natural language processing (NLP) solutions for use cases such as document processing, chatbot development, and proactive insights. Create machine learning pipelines for predictive analytics and anomaly detection in operational workflows. Integration and Deployment: Integrate AI models into existing internal applications, including CRM platforms, CLM systems, Employee-facing tools, Enterprise applications, Analytics tools and other custom inbuilt applications. Collaborate with DevOps teams to ensure efficient CI/CD pipelines for AI solutions. Collaboration and Stakeholder Engagement: Partner with business stakeholders to identify pain points and opportunities for AI-driven enhancements. Work closely with IT and application development teams to align AI initiatives with organizational goals. Data Management and Analysis: Leverage structured and unstructured data from multiple sources to train, test, and validate AI models. Implement data preprocessing pipelines to ensure data quality and completeness. Performance Monitoring and Optimization: Continuously monitor and evaluate the performance of deployed AI models, ensuring accuracy, scalability, and efficiency. Optimize algorithms and infrastructure to reduce latency and improve user experience. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience: 3–5 years of experience in AI engineering, machine learning, or data science roles. Proven track record of developing and deploying AI solutions in enterprise environments. Experience with CRM systems and automation platforms is a plus. Technical Skills: Proficiency in programming languages like Python, R, or Java. Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and NLP libraries (SpaCy, Hugging Face, NLTK, etc.). Hands-on experience with cloud platforms (AWS, Azure, GCP) and AI tools (SageMaker, Vertex AI). Familiarity with APIs, microservices, and RESTful architectures. Strong understanding of data engineering concepts, including ETL pipelines and database management (SQL, NoSQL). Soft Skills: Strong problem-solving and critical-thinking skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced environment and manage multiple priorities effectively. Please Note: We don't believe in keeping the applicants hanging and give very high importance to closing the loop irrespective of the outcome of your application. We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status.

About The Role We are looking for a highly skilled Oracle Fusion Tax Functional Consultant with expertise in key Oracle Fusion modules. The Ideal candidate will be an Oracle Fusion Tax expert and have strong understanding of Oracle Fusion Finance modules and system functionality. Requirements Holds over 8 years of experience in Oracle Cloud Finance modules and at least 3 years of experience in Oracle Fusion TaxStrong functional experience and expertise in Oracle Fusion Tax functionalities.Proficiency in Global Implementation of Fusion Tax module (including implementation for Europe & APAC)Knowledge of working with Vertex / Thomson Reuters Tax engines is preferred.Working knowledge of Inventory & Procurement modules in relation to Tax considerations / configurations.Experience in conducting workshops, documenting requirements, and validating current-state processes.Attention to detail and ability to prepare meticulous design documents for integrations and reports.

Basic Information Country: India State: Maharashtra City: Pune Date Published: 05-May-2025 Job ID: 44647 Travel: You may occasionally be required to travel for business Secondary locations: IND Bangalore - Prestige Summit Looking for details about our benefits? You can learn more about them by clicking HERE Description and Requirements CareerArc Code CA-PS #LI-PS1 Hybrid: #LI-Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for an experienced Data Science Engineer with hands-on experience with Classical ML, Deep Learning Networks and Large Language Models, knowledge to join us and design, develop, and implement microservice based edge applications, using the latest technologies. In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, while acting as a focal point and expert for our data science activities. You will research and interpret business needs, develop predictive models, and deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Ideate, design, implement and maintain enterprise business software platform for edge and cloud, with a focus on Machine Learning and Generative AI Capabilities, using mainly Python Work with a globally distributed development team to perform requirements analysis, write design documents, design, develop and test software development projects. Understand real world deployment and usage scenarios from customers and product managers and translate them to AI/ML features that drive value of the product. Work closely with product managers and architects to understand requirements, present options, and design solutions. Work closely with customers and partners to analyze time-series data and suggest the right approaches to drive adoption. Analyze and clearly communicate both verbally and in written form the status of projects or issues along with risks and options to the stakeholders. To ensure you’re set up for success, you will bring the following skillset & experience: You have 8+ years of hands-on experience in data science or machine learning roles. You have experience working with sensor data, time-series analysis, predictive maintenance, anomaly detection, or similar IoT-specific domains. You have strong understanding of the entire ML lifecycle: data collection, preprocessing, model training, deployment, monitoring, and continuous improvement. You have proven experience designing and deploying AI/ML models in real-world IoT or edge computing environments. You have strong knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Whilst these are nice to have, our team can help you develop in the following skills: Experience with digital twins, real-time analytics, or streaming data systems. Contribution to open-source ML/AI/IoT projects or relevant publications. Experience with Agile development methodology and best practice in unit testin Experience with Kubernetes (kubectl, helm) will be an advantage. Experience with cloud platforms (AWS, Azure, GCP) and tools for ML deployment (SageMaker, Vertex AI, MLflow, etc.). Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

Job description We are seeking a dynamic and detail-oriented HR Executive to join our growing team. The ideal candidate will be responsible for handling recruitment, employee engagement, onboarding, HR operations, and assisting in developing HR policies and procedures. Job title: Human Resources (HR) Executive Location: DB Vertex Technologies, Chhawni, Indore Job Type: Full-time Experience Required: 0 – 2 Years Pay: ₹8,000 - ₹15,000 per month We are looking for candidates with Good English communications. Key Responsibilities: Handling various projects and ensuring smooth workflow. Managing office operations efficiently. Coordinating and communicating effectively with team members and stakeholders. Performing data entry, documentation, and record maintenance. Requirements : Qualification: Open to candidates with any educational background. Skills: Proficiency in English communication (spoken and written) is mandatory. Age: Must be above 18 years. What We Offer: A supportive and professional work environment. Opportunities to learn and grow within the organization. Flexible and engaging project-based work. If you meet the above requirements and are ready to start your career in a dynamic role, we encourage you to apply! Job Type: Full-time, Fresher Pay: ₹8,000.00 - ₹15,000.00 per month Schedule: Day shift Ability to commute/relocate: Chhawni, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Education: Higher Secondary(12th Pass) (Preferred) Work Location: In person Experience: 0 to 2 year (Preferred) Job Types: Full-time, Permanent, Fresher Pay: ₹8,000.00 - ₹15,000.00 per month Schedule: Day shift Language: English (Preferred) Work Location: In person

Job Title: Site Engineer Location: Goa Experience: Minimum 1-2 years We are looking for a skilled and motivated Site Engineer to join our team at Vertex Infra India. The ideal candidate should possess comprehensive knowledge of construction site operations and demonstrate hands-on experience in managing various on-site activities. Key Responsibilities: Supervise daily site operations ensuring adherence to safety norms and project timelines Implement and monitor standard operating procedures (SOPs) on-site interpret construction drawings using AutoCAD Execute quantity estimation, billing, and BOQ preparation Work with Bar Bending Schedules (BBS) and steel structure detailing Coordinate with contractors, vendors, and other stakeholders for smooth project flow Maintain site documentation and reports. Required Skills & Qualifications: Diploma/Bachelor’s degree in Civil Engineering or equivalent 1-2 years of relevant site experience in construction projects Proficiency in AutoCAD and understanding of structural drawings Strong knowledge of BBS, estimation, and billing Familiarity with safety norms and quality control standards Working knowledge of MS Excel, MS Word, and BOQ preparation is a plus Good communication and team management skills Preferred: Prior experience in residential/commercial building projects Knowledge of project scheduling tools will be an advantage Job Type: Full-time Pay: ₹20,000.00 - ₹22,000.00 per month Benefits: Cell phone reimbursement Paid sick time Schedule: Day shift Shift availability: Day Shift (Preferred) Willingness to travel: 50% (Required) Work Location: In person

Additional Locations: India-Haryana, Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. Software Engineer SQA – AI/ML Products Join Boston Scientific at the forefront of innovation as we embrace AI to transform healthcare and deliver cutting‑edge solutions. We are seeking a Software Quality Assurance (SQA) Engineer who will champion the reliability and usability of AI‑driven features, ensuring that machine‑learning models and LLM pipelines deliver safe, accurate, and coherent outcomes. Your responsibilities will include: Develop and execute comprehensive test plans for AI/ML features including chatbots, recommendation engines, RAG search, and copilots. Design and maintain automation frameworks (Selenium, Cypress, Playwright, PyTest) for UI, API, and model‑level testing. Implement evaluation harnesses using LangSmith, RAGAS, LangTest, and custom scripts to score relevance, hallucination, fairness, and toxicity. Validate RAG pipelines end‑to‑end: embeddings, retrieval quality, prompt integrity, and response grounding. Monitor post‑deployment AI performance for drift, regression, and latency; partner with MLOps teams to triage incidents. Collaborate with product managers, data scientists, and engineers to define expected outcomes and edge‑case scenarios. Document test results, file defects, and drive root‑cause analysis to closure. Required Qualifications: 6+ years of software quality assurance or test‑automation experience, including AI/ML products. Proficiency in Python or JavaScript and experience with RESTful API testing (Postman, Swagger). Hands‑on with automation tools such as Selenium, Cypress, Playwright, or PyTest. Knowledge of LLM evaluation frameworks (LangSmith, RAGAS) and vector database APIs. Strong foundation in QA processes: test planning, regression testing, CI/CD integration, and defect lifecycle management. Preferred Qualifications: Experience testing RAG or agentic AI workflows at scale. Familiarity with monitoring solutions for model drift and data drift (Vertex AI, Azure Monitor, Fiddler). Exposure to ethical‑AI or bias‑testing methodologies. Background in healthcare or other regulated domains. Requisition ID: 608453 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!