41967 Gcp Jobs - Page 15

About the Role We are seeking a highly skilled Data Engineer with strong Snowflake experience to join our team. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines and solutions on the Snowflake Data Cloud platform. You will collaborate with cross-functional teams to ensure high data quality, availability, and performance for analytics and business insights. Key Responsibilities Design, develop, and maintain data pipelines and ETL/ELT workflows using Snowflake. Optimize Snowflake databases, schemas, and queries for performance and cost efficiency . Integrate data from multiple sources (structured, semi-structured, unstructured) into Snowflake. Implement best practices for data modeling, security, governance, and monitoring . Required Skills & Experience 6-10 years of experience as a Data Engineer (or similar role). Strong hands-on experience with Snowflake (data modeling, query tuning, warehouse optimization). Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Data Lake, etc. Strong problem-solving and analytical skills with attention to detail.

Enterprise Architect Job Summary An Enterprise Architect is a senior leader responsible for the overall architecture and strategy of the platform ( Either Salesforce /Service Now / Oracle ) in an organization. This role provides a broad, strategic view of how the platform fits into the enterprise IT landscape, ensuring that platform solutions support long-term business objectives .The Enterprise Architect will lead the strategic design, development, and governance across the enterprise, aligning platform capabilities with the company’s technology roadmap and digital transformation goals. This includes defining technical direction, ensuring scalability and security, and maximizing the value of the platform in meeting cross-organizational needs. Key Responsibilities Platform Architecture & Roadmap: Define and maintain the enterprise-wide platform architecture and technical roadmap, ensuring solutions are scalable, maintainable, and aligned with business strategy. Establish architecture standards and reference architectures for using the platform across various business units. Governance & Best Practices: Develop and enforce governance frameworks, design principles, and coding standards for the platform. Oversee architecture reviews and change control processes to ensure consistency and compliance across the life cycle of the implementation. Integration & Interoperability: Lead the integration of the proposed platform with other enterprise systems (e.g. ERP, CRM, cloud services) to ensure seamless data flow and interoperability. Define integration strategies (APIs, middleware, data synchronization) and ensure ServiceNow plays well within the broader IT ecosystem. Technical Leadership: Provide deep technical leadership and mentorship to ServiceNow solution architects, developers, and admins. Guide teams in designing high-quality solutions, and offer oversight on complex configurations and custom development to ensure they meet performance and security requirements. Innovation & Continuous Improvement: Stay up-to-date with latest releases and features (including AI/ML capabilities, automation, Virtual Agent, App Engine, etc.). Evaluate new platform functionalities and third-party modules, and recommend their adoption to drive improvement and innovation on the platform. Stakeholder Collaboration: Work closely with business leaders, IT executives, and enterprise architects to translate business objectives into ServiceNow solutions. Act as a subject-matter expert and advisor, evangelizing platform capabilities and ensuring that the Digile team supports evolving business processes and digital transformation initiatives. Platform Performance: Ensure the platform’s reliability, security, and performance by implementing best practices for instance health, monitoring, and upgrade management. Required Qualifications Education: Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience). Work Experience: ~10+ years of experience in IT, including several years in an architecture leadership role. At least 5 years of hands-on experience with ServiceNow, designing and implementing enterprise-level ServiceNow solutions across multiple modules (e.g. ITSM, ITOM, HRSD, CSM). ServiceNow Expertise: Proven experience architecting ServiceNow implementations at scale – including designing platform architecture, data models, integrations, and customizations. Demonstrated success in leading large ServiceNow projects or platform initiatives from conception to delivery. ITSM/Process Knowledge: Strong understanding of IT Service Management and ITIL frameworks. Experience aligning ServiceNow processes (incident, problem, change, request, asset, etc.) with ITIL best practices and overall business workflows. Technical Skills: Broad knowledge of enterprise technology stacks and architecture principles. Familiarity with web technologies and integration methods relevant to ServiceNow (REST/SOAP web services, MID Server, SSO/SAML, etc.). Solid understanding of cloud infrastructure and hybrid environments as they relate to ServiceNow deployment. Analytical & Problem-Solving: Ability to analyze complex business requirements and translate them into an architectural blueprint for ServiceNow. Strong problem-solving skills to address platform issues, optimize performance, and design scalable solutions. Preferred Qualifications Advanced Education: Master’s degree in a relevant field or MBA is a plus, especially with a focus on Information Systems or Enterprise Architecture. Enterprise Architecture Frameworks: Familiarity with enterprise architecture methodologies (e.g. TOGAF or Zachman) and how ServiceNow aligns within those frameworks. Industry Knowledge: Experience implementing ServiceNow in multiple industries or large/global environments, demonstrating the platform’s adaptability to various use cases. Legacy Systems & Cloud: Background in integrating ServiceNow with legacy systems or modern cloud services (AWS, Azure, GCP) can be advantageous. Experience with data migration and enterprise integration platforms is a plus. Leadership Experience: Prior experience in a leadership role such as Lead Architect or Platform Owner. Demonstrated ability to mentor teams, manage architectural governance boards, and liaise with senior management on technology strategy. Desired Skills and Competencies Strategic Thinking: Ability to envision how ServiceNow can enable future-state business processes and digital transformation. Capable of developing long-term plans and translating strategy into actionable architecture. Communication & Influence: Excellent communication skills, with the ability to articulate complex technical concepts to both technical teams and non-technical stakeholders. Strong presentation and negotiation skills to drive decisions and build consensus on architectural choices. Leadership & Collaboration: Proven leadership and team-building skills. Comfortable leading cross-functional teams and coordinating between technical staff, project managers, and business stakeholders. Able to foster collaboration and drive alignment in a matrixed environment. Adaptability: Hands-on and adaptable, with a willingness to dive into details when necessary. Able to handle changing priorities and guide the organization in adopting new ServiceNow features or best practices as the platform evolves. Innovative Mindset: A continuous learner who keeps abreast of technology trends (e.g., AI-driven workflows, hyperautomation, low-code development) and identifies opportunities to leverage them via ServiceNow. Customer/Business Focus: Strong business acumen and user-centric mindset. Balances technical excellence with practical business value, ensuring that architectural decisions enhance user experience and Enterprise Architecture/Cloud: Certifications in enterprise architecture (e.g. TOGAF), cloud architecture, or related areas are a plus, reflecting a well-rounded architectural skill set. Typical Experience Range Typically 10-15+ years of overall IT experience, with a substantial portion in architecture and leadership roles. Most candidates for this role have 5+ years of dedicated ServiceNow experience in progressively senior positions (e.g. Solution Architect, Technical Lead, or Platform Architect). Experience leading multiple end-to-end ServiceNow implementations and working in large-scale, global environments is expected. This role is generally a senior-level position (often at the Principal Architect or Director level), suited for professionals who have a blend of technical depth and strategic business

We are looking for a Senior Frontend Developer to lead the development of intuitive, high-performance web applications. You will shape user experiences, mentor junior engineers, and drive best practices in frontend architecture and development. Key Responsibilities Lead the design and development of scalable, responsive, and accessible UIs . Translate complex product requirements and design wireframes into high-quality code . Build reusable components and maintainable frontend libraries. Collaborate with product managers, UX designers, and backend engineers to deliver seamless experiences. Drive performance optimization and ensure cross-browser / cross-device compatibility . Review code, mentor junior developers, and foster engineering excellence. Stay updated with emerging frontend technologies and introduce relevant tools/practices. Requirements Strong proficiency in JavaScript (ES6+), React.js (or other modern frameworks like Vue/Angular) . Hands-on experience with state management libraries (Redux, Zustand, MobX, etc.). Solid understanding of HTML5, CSS3, responsive design, and accessibility standards . Familiarity with TypeScript . Experience integrating RESTful APIs / GraphQL . Strong understanding of frontend build tools (Webpack, Vite, Babel, etc.). Proficiency in Git and CI/CD pipelines. Proven experience in performance tuning and debugging at scale. Good to Have Experience with Next.js or other SSR frameworks. Exposure to testing frameworks (Jest, React Testing Library, Cypress). Familiarity with UI frameworks/libraries (Tailwind, Material-UI, Ant Design). Knowledge of cloud-native environments (AWS, GCP, or Azure). Experience 5–10 years of experience in frontend development, with at least 2+ years in a senior/lead role.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Key Skill Sets Minimum 4 years of eCommerce/OMS experience. 2+ years of Blue Yonder/Manhattan Active Omni/Fluent Ecommerce OMS/Sterling OMS experience is a must. Good hands on experience in developing enterprise microservices applications. Java Springboot being the preferred one. Good hands on experience in at least one of the Cloud Services (AWS/Azure/GCP). AWS will have weightage. Knowledge of event driven architecture and reactive microservices programming will be an added advantage. Should be aware about general cloud services like API Gateways, Serverless Functions, Message Broker services like Event Bus/Event Bridge/Kafka/Kinesis etc. Good knowledge of API concepts, technologies such as REST, JSON, GraphQL and Swagger. Knowledge of integrations via API’s and third-party systems (specifically Payment gateway, Fraud check, Address Validations, Tax services etc). Strong knowledge of latest web technologies, CI/CD concepts etc. Good knowledge about in memory / distributed caching mechanisms like Spring/EhCache or Redis. Sound Retail domain knowledge. Proficient in Agile methodologies and JIRA. Preferred Qualifications Good knowledge working on cloud native environments. Added advantage if having experience in integration layers Kafka, Kinesis, payload transformations, adhering to NFRs using the message broker etc. Professional Skill Requirements Proven ability to work creatively and analytically in a problem-solving environment. Desire to work in an information systems environment. Excellent communication (written and oral) and interpersonal skills.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Expereince - 5 to 10 Years Role Overview We are looking for a skilled Senior Full Stack developer focusing on Node.js and proficient in developing complete solution in the Cloud (AWS, GCP, Azure) to join our development team. The candidate is preferred to have good experience in the Retail Domain and an end to end understanding of the Retail landscape, workflows and components. In this role, you will be primarily responsible for developing API’s and REST based API Integrations with major eCommerce & OMS solutions or package components; implementing user interface components using React.js/Vue.js or similar frontend framework is a plus as well as building Scripts or extensions based on the JS framework used. You will also be responsible for profiling and improving application performance, consuming and developing against internal and third-party REST API’s and documenting your work on our codebase(s). Responsibilities Meeting with cross functional teams and business partners to discuss new projects, feature enhancements to existing Applications and modernizing existing services. Reviewing application requirements and interface and application designs. Developing Clear Data Flow and Cloud Architecture Diagrams to be reviewed with the team and external architecture guild. Translating designs, business requirements and wireframes into high quality code. Familiarity with building and extending REST API’s and Event Driven Extensions. Developing or Deploying code to Cloud and against 3rd party SaaS platforms. Leveraging new or existing REST API’s to power internal and customer facing experiences. Troubleshooting interfaces, and API endpoints and debugging application code. Building reusable components and for future use. Use Git Following Git-Flow process for new and existing Code contributions Documenting application changes and developing updates. Requirements: Technical Experience with Node.js and scripting frameworks. Good experience in the Retail domain with end to end understanding of its landscape. Knowledge of any of the composable eComm or OMS packages will be an added advantage. In-depth knowledge of JavaScript, CSS, HTML, and front-end languages including React/NextJS and ExpressJS. Knowledge of backend languages like C#, Python, Java, will be a plus. Consuming internal or public REST API’s. Relational SQL and No-SQL experience. Experience with API and Data Modeling design. Knowledge of testing and monitoring frameworks and services. Experience with browser-based debugging and performance testing software. Excellent troubleshooting skills. Good project management skills. Ability to work individually and within a large cross functional team. Experience working in Agile Scrum or Kanban teams. Experience working with DevOps Build and Release Tools. Good experience on Code Management using Repositories like Github, BitBucket etc. and have good understanding on Branching and Release Strategies.

Expereince - 5 to 10 Years Role Overview We are looking for a skilled Senior Full Stack developer focusing on Node.js and proficient in developing complete solution in the Cloud (AWS, GCP, Azure) to join our development team. The candidate is preferred to have good experience in the Retail Domain and an end to end understanding of the Retail landscape, workflows and components. In this role, you will be primarily responsible for developing API’s and REST based API Integrations with major eCommerce & OMS solutions or package components. Implementing user interface components using React.js/Vue.js or similar frontend framework is a plus, as well as building Scripts or extensions based on the JS framework used. You will also be responsible for profiling and improving application performance, consuming and developing against internal and third-party REST API’s and documenting your work on our codebase(s). Responsibilities Meeting with cross functional teams and business partners to discuss new projects, feature enhancements to existing applications and modernizing existing services. Reviewing application requirements and interface and application designs. Developing Clear Data Flow and Cloud Architecture Diagrams to be reviewed with the team and external architecture guild. Translating designs, business requirements and wireframes into high quality code. Familiarity with building and extending REST API’s and Event Driven Extensions. Developing or Deploying code to Cloud and against 3rd party SaaS platforms. Leveraging new or existing REST API’s to power internal and customer facing experiences. Troubleshooting interfaces, and API endpoints and debugging application code. Building reusable components and for future use. Use Git Following Git-Flow process for new and existing Code contributions Documenting application changes and developing updates. Requirements: Technical Experience with Node.js and scripting frameworks. Good experience in the Retail domain with end to end understanding of its landscape. Knowledge of any of the composable eComm or OMS packages will be an added advantage. In-depth knowledge of JavaScript, CSS, HTML, and front-end languages including React/NextJS and ExpressJS. Knowledge of backend languages like C#, Python, Java will be a plus. Consuming internal or public REST API’s. Relational SQL and No-SQL experience. Experience with API and Data Modeling design. Knowledge of testing and monitoring frameworks and services. Experience with browser-based debugging and performance testing software. Excellent troubleshooting skills. Good project management skills. Ability to work individually and within a large cross functional team. Experience working in Agile Scrum or Kanban teams. Experience working with DevOps Build and Release Tools. Good experience on Code Management using Repositories like Github, BitBucket etc. and have good understanding on Branching and Release Strategies.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK , Autogen etc. Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) Experience in MLOps and ML model deployment pipelines. Proficiency in programming languages like Python and ML frameworks like TensorFlow, PyTorch, etc. Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. Experience with data processing, feature engineering, and model training on large datasets. Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation. Understanding of software engineering best practices and applying them to ML systems. Experience with an agile development environment. Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Strong problem-solving, analytical, and communication abilities. Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields. Responsibilities Design, develop and optimize machine learning models for applications across different domains. Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. Develop and deploy cutting-edge generative AI & Agentic AI applications. Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. Integrate machine learning capabilities into existing products or build new AI-powered applications. Perform data mining, cleaning, preparation, and augmentation for training robust ML models. Collaborate with cross-functional teams to translate AI requirements into technical implementations. Ensure model performance, scalability, reliability. Continuously research and implement state-of-the-art AI/ML algorithms and techniques. Manage the end-to-end ML lifecycle from data processing to production deployment.

Company : FriskaAi Location : Remote (India) Job Type : Full-Time Experience Level : Mid to Senior Level About FriskaAi FriskaAi is a forward-thinking HealthTech startup on a mission to redefine personalized healthcare. Leveraging advanced AI, we deliver tailored health solutions—from nutrition and fitness to chronic disease management—directly to individuals and communities. As a fast-growing US-based company with our development heart in India, we are building the future of accessible, data-driven health empowerment. Join us to build technology that makes a real difference in people's lives. The Role We are seeking a proactive and strategic Cloud Architect to own and evolve our entire cloud infrastructure. This is a high-impact role for someone who thrives on ownership, enjoys translating business needs into technical reality, and is passionate about building scalable, cost-efficient, and secure systems in a startup environment. You will be the sole architect responsible for ensuring our cloud platform reliably supports our AI-driven health solutions, manages sensitive health data with utmost security, and scales efficiently with our growing user base. Key Responsibilities Architectural Design & Strategy: Design, implement, and manage a secure, scalable, and highly available cloud infrastructure on AWS/Azure that supports our AI and data processing workloads. Cost Optimization & Governance: Establish and lead cloud cost management practices. Implement monitoring, identify savings opportunities, and ensure we get maximum value from our cloud investments. This is a critical focus area. Security & Compliance: Architect for security and compliance from the ground up, ensuring all systems adhere to industry best practices for handling sensitive health data. DevOps & Automation: Champion Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. Automate CI/CD pipelines to enable rapid and reliable deployments for the engineering team. Collaboration & Leadership: Work closely with product, engineering, and finance teams to align technology with business goals. Provide clear, non-technical explanations of architectural decisions to stakeholders. Performance & Reliability: Define and monitor key performance metrics (uptime, latency, scalability) to ensure our platform meets the high expectations of our users. What We're Looking For (Qualifications) 3+ years of hands-on experience in a cloud engineering, DevOps, or infrastructure role with at least 1-2 years of architecture-level responsibilities. Proven expertise with a major cloud provider (AWS preferred, Azure or GCP acceptable). Strong experience with Infrastructure as Code (Terraform, CloudFormation, or similar). Solid understanding of DevOps principles and tools (CI/CD pipelines, Docker, Kubernetes, Jenkins/GitLab Actions). Demonstrable experience in cloud cost management and implementing cost-saving measures. Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders. A strategic mindset—you think about the "why" behind the architecture and how it drives business value. Bonus Points (Nice-to-Have) Experience in the HealthTech industry or with HIPAA/GDPR or other data security compliance standards. Experience building data pipelines or supporting Machine Learning/AI workloads. Relevant cloud certifications (e.g., AWS Solutions Architect Professional, Azure Solutions Architect Expert). Why Join FriskaAi? High Impact & Ownership : You will be the key person shaping our cloud strategy and have a direct impact on our product and company success. Mission-Driven Work : Contribute to a product that genuinely improves people's health and well-being. Growth Environment : As a growing startup, you will have numerous opportunities to learn, wear multiple hats, and accelerate your career. Competitive Compensation : We offer a competitive salary and benefits package commensurate with experience. If you are a cloud professional ready to take on a challenging and rewarding architect role, ⏳ Apply Now! #CloudArchitect #AWS #Azure #DevOps #HealthTech #Hiring #RemoteJobs #IndiaHiring #TechJobs #Startup

Netstratum is a global product development company specializing in custom software and enterprise IT services. With teams across ten global locations, we combine local insight with global expertise to deliver innovative, purpose-driven solutions. As a leader in telecom tech, we build secure, high-performance Unified Communication Systems used by Tier-1 providers, enterprises, and governments. Our in-house AI platform is built for scale, security, and real-world impact. Join a vibrant, diverse team working on cutting-edge projects in telecom, AI, IoT, and digital transformation—within a fast-paced, learning-focused environment. www.netstratum.com Location: Kochi, Kerala Experience: 3+ years of experience Salary: As per Industry Standards Job Code : 082025/03 Employment Type : Full-time Job Description: We are seeking a skilled BigPanda Developer to join our IT Operations and Monitoring team. The ideal candidate will be responsible for developing, integrating, and optimizing monitoring solutions within the BigPanda platform. This role involves working closely with IT, DevOps, and application teams to streamline incident management, automate event correlation, and ensure high availability and performance across systems. Key Responsibilities Design, configure, and maintain BigPanda integrations with monitoring tools (e.g., Nagios, Zabbix, AppDynamics, New Relic, Datadog, Splunk, ServiceNow, PagerDuty). Develop and maintain event correlation logic, filters, and enrichment rules within BigPanda. Automate alert management processes to reduce noise and improve incident response times. Implement custom APIs and scripts for integrating BigPanda with existing enterprise systems. Collaborate with DevOps, ITSM, and SRE teams to ensure end-to-end monitoring coverage. Build dashboards and reporting to provide real-time visibility into system health and incident metrics. Troubleshoot BigPanda-related issues and ensure system stability and scalability. Provide best practices for incident triage and root-cause analysis workflows . Stay current with BigPanda updates and industry best practices in AIOps and IT monitoring. Required Skills & Qualifications Strong hands-on experience with BigPanda platform (administration, configuration, and customization). Proficiency in scripting languages such as Python, Bash, or PowerShell for automation. Solid understanding of IT Operations Monitoring tools (e.g., Nagios, Prometheus, Splunk, Datadog). Experience with incident management and ITSM platforms (ServiceNow, Jira, PagerDuty). Familiarity with API integrations (REST, Webhooks, JSON, XML) . Knowledge of cloud platforms (AWS, Azure, GCP) and modern DevOps practices. Strong problem-solving skills with the ability to troubleshoot complex monitoring issues. Excellent communication skills and ability to work cross-functionally. Preferred Qualifications Experience with BigPanda Open Integration Hub (OIH) . Background in SRE, NOC, or DevOps engineering roles. Understanding of AIOps, machine learning-based correlation, and event-driven architectures . Familiarity with CI/CD pipelines and Infrastructure-as-Code (Terraform, Ansible). Education & Experience Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). 3+ years of experience working with monitoring, incident management, or AIOps platforms. 1+ years of hands-on experience specifically with BigPanda .

Key Responsibilities: Develop, train, and validate predictive and analytical models using machine learning techniques. Collaborate with data engineers and business teams to define data requirements and success metrics. Deploy machine learning models into production using ML Ops best practices. Build automated pipelines for model training, testing, monitoring, and retraining. Optimize model performance and ensure scalability and reliability. Monitor model drift, performance degradation, and ensure continuous improvement. Implement CI/CD practices for machine learning workflows. Technical Skills Required: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML). Good understanding of data engineering concepts (ETL, data pipelines, APIs). Hands-on with containerization and orchestration (Docker, Kubernetes). Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment. Strong background in statistics, machine learning algorithms, and model evaluation techniques . Familiarity with version control (Git) and CI/CD pipelines. Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field. Experience in handling large-scale data pipelines and real-time model serving . Exposure to feature stores and automated model monitoring. Strong problem-solving, analytical, and communication skills.

Key Responsibilities: Develop, train, and validate predictive and analytical models using machine learning techniques. Collaborate with data engineers and business teams to define data requirements and success metrics. Deploy machine learning models into production using ML Ops best practices. Build automated pipelines for model training, testing, monitoring, and retraining. Optimize model performance and ensure scalability and reliability. Monitor model drift, performance degradation, and ensure continuous improvement. Implement CI/CD practices for machine learning workflows. Technical Skills Required: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML). Good understanding of data engineering concepts (ETL, data pipelines, APIs). Hands-on with containerization and orchestration (Docker, Kubernetes). Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment. Strong background in statistics, machine learning algorithms, and model evaluation techniques . Familiarity with version control (Git) and CI/CD pipelines. Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field. Experience in handling large-scale data pipelines and real-time model serving . Exposure to feature stores and automated model monitoring. Strong problem-solving, analytical, and communication skills.

Role- Full stack Developer (React and Node.js) Experience- 3-7 years Location- Gurgaon Notice Period- Serving OR 30 days Responsibilities: 1. Design, develop, and maintain both front-end and back-end components of web applications, ensuring high performance, responsiveness, and scalability. 2. Collaborate with team members using version control systems and follow best practices for code review, branching, and merging. 3. Write unit tests, integration tests, and end-to-end tests to ensure the reliability and robustness of the application, and troubleshoot and debug issues as they arise. 4. Document technical specifications, architecture, and processes to facilitate knowledge sharing and ensure maintainability of the codebase. 5. Collaborate with cross-functional teams including product managers, designers, and other engineers to define requirements, prioritize features, and deliver high-quality solutions. Qualifications 1. Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred. 2. Minimum of 3-7 years of professional experience in full stack development or related roles, with a strong portfolio showcasing relevant projects. 3. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (React, Angular). 4. Experience with back-end technologies such as Node.js, and frameworks like Express, Fastify. 5. Solid understanding of database design, SQL or NoSQL databases, and ORM libraries. 6. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is a plus. 7. Experience with microservice architecture, including design, implementation, and deployment of distributed systems, with a focus on scalability, fault tolerance, and maintainability. 8. Strong problem-solving skills, attention to detail, and ability to work independently as well as in a team environment

Job Description: Roles & Responsibilities You will be responsible for serving as a core scientific member of the cross-functional franchise team, providing the scientific foundation for the Infertility Division You will be responsible for conceptualizing and managing a wide range of medical activities, aligned with the TA Medical strategy, including research, publications, medical education, and patient support programs. You will be responsible for engaging key thought leaders through medical affairs activities, in line with the overall strategic plan. You will be responsible for ensuring the optimal execution of the strategic medical affairs plan through Regional Medical Affairs, encompassing medical education, product education, and special projects. You will be responsible for acting as a therapeutic area scientific expert, discussing scientific data with leading specialists, and providing training on the latest medical developments to the sales and marketing team. Qualifications Educational qualification-MBBS with M.D. Pharmacology/Medicine/Obstetrics & Gynecology or full time post-graduate qualification in any discipline of medicine. Minimum work experience- 4-7 years of experience in the pharmaceutical industry or research company in a Medical Advisor capacity. Skills & Attributes – Technical Skills Strong academic record with deep knowledge of the therapeutic area, strength in research with knowledge of research methodologies and interpretation of medical data. Strategic mind set with scientific acumen and communication skills in order to be accepted by leading specialists in peer-to-peer relationship is essential. Must have working knowledge of Indian regulations pertaining to Health care professional’s interactions (MCI code of ethics for doctors & UCPMP Code for Pharma) and Drugs and Cosmetic Act regulations pertaining to clinical trials and new drug approvals. Experience with complex business environments preferred. Training in medical writing, clinical trial methodologies, research design and ICH – GCP will be added advantage. Working knowledge of MS Word, powerpoint & excel. Strong track record of success as demonstrated through annual performance ratings and/or professional accomplishments and awards Behavioural Skills Integrity driven decision making skills Sound scientific knowledge Collaboration and teaming with ability to work in a matrix environment Strategic thinking & sound analytical skills Intellectual curiosity Self-awareness and adaptability to work in a matrix environment Result oriented and performance driven Excellent interpersonal & communication skills to effectively interact with a broad range of audience Location: Ferring India M&S

Job Title: Senior Web Developer Experience Required: 4+ Years About the Role We are looking for an experienced Senior Web Developer to design, develop, and optimize scalable, high-performance web applications. The ideal candidate will have strong expertise in both front-end and back-end development, a solid understanding of modern web technologies, and the ability to mentor junior developers. Key Responsibilities Design, develop, and maintain responsive, user-friendly, and scalable web applications . Collaborate with designers, product managers, and backend teams to deliver end-to-end solutions. Write clean, maintainable, and efficient code following best practices. Optimize applications for speed, performance, and security . Integrate with APIs, databases, and third-party services. Conduct code reviews, debug complex issues, and ensure high-quality deliverables. Stay up to date with emerging web technologies and recommend improvements. Mentor junior developers and guide them on coding standards and best practices. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Engineering, or related field. 5–8 years of hands-on web development experience. Strong proficiency in HTML5, CSS3, JavaScript (ES6+) . Expertise in front-end frameworks (React.js, Angular, or Vue.js). Strong knowledge of back-end technologies (Node.js, Django, Flask, or similar). Experience with databases (MySQL, PostgreSQL, MongoDB). Familiarity with REST APIs, GraphQL, and microservices architecture. Hands-on experience with version control (Git), CI/CD pipelines, and testing frameworks . Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Good to Have Experience with TypeScript and Next.js/Nuxt.js. Knowledge of DevOps practices and deployment automation. Familiarity with UI/UX principles. Exposure to Agile/Scrum methodologies.

Software Engineer (Golang) Location: Noida Experience: 3–8 years We’re looking for a skilled and passionate Backend Engineer (Golang) to join our growing engineering team. If you love building high-performance, cloud-native, and scalable systems while working with cutting-edge technologies, this role is for you. As a Golang Engineer , you’ll design, build, and optimize backend services, APIs, and distributed systems. You’ll collaborate closely with product, DevOps, and front-end teams to deliver robust, secure, and efficient solutions while following modern software development practices. What You’ll Do · Design, develop, and scale backend services using Golang with a focus on performance, concurrency, and reliability . · Build and maintain RESTful APIs and work with GraphQL / gRPC for service-to-service communication. · Develop and maintain microservices architectures , ensuring resilience and fault tolerance. · Write unit/integration tests and ensure high-quality, maintainable code. · Implement containerized applications using Docker and orchestrate services with Kubernetes . · Deploy, monitor, and optimize services on cloud platforms (AWS/GCP/Azure) . · Implement and enhance CI/CD pipelines for automated testing, builds, and deployments. · Work in a Linux/Unix-based environment , fine-tuning system-level interactions. · Monitor and troubleshoot services using tools like Prometheus, Grafana, ELK/EFK stack . · Collaborate with cross-functional teams in Agile/Scrum environments. · Stay ahead of industry trends and proactively suggest new tools, frameworks, or methodologies . What We’re Looking For · Strong expertise in Golang (language features, concurrency patterns, idioms, and best practices). · Hands-on experience with Gin frameworks for building scalable APIs. · Solid knowledge of microservices, distributed systems, and event-driven architectures . · Proficiency with Git/GitHub for version control and collaboration. · Familiarity with cloud-native development (AWS/GCP/Azure) and deployment automation. · Experience with Docker & Kubernetes (EKS/GKE/AKS preferred). · Exposure to message brokers (Kafka, NATS, RabbitMQ, or Pub/Sub). · Good understanding of SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). · Knowledge of CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). · Comfortable working in Linux environments and debugging system-level issues. · Understanding of DevOps practices, observability, and monitoring tools . · Strong problem-solving, debugging, and performance tuning skills. · Passion for writing clean, testable, and efficient code . · Strong knowledge of Solid principle and Design patterns. Nice-to-Have · Experience with GraphQL / gRPC . · Exposure to security best practices (OAuth2, JWT, TLS). · Experience in high-traffic, low-latency systems . · Knowledge of Agile, Scrum, and DevOps culture . Qualifications 🎓 Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (B.Tech/M.Tech). Software Engineer (Python) Location: Noida | Experience: 3–8 years We’re looking for a skilled Python Backend Engineer to join our team. If you’re passionate about building scalable, high-performance applications and enjoy working across backend and frontend technologies, this role is for you. You will be responsible for designing, developing, and optimizing applications in Python (Django/Flask) , while also collaborating on React.js frontends and cloud-native deployments . This is an opportunity to work on modern, distributed systems and continuously learn new tools and frameworks. What You’ll Do · Develop and maintain backend services & APIs using Python (Django and Flask). · Build RESTful APIs and integrate with frontend applications built in React.js . · Design and manage relational & NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis). · Work with microservices architecture , ensuring resilience and scalability. · Containerize applications with Docker and orchestrate deployments using Kubernetes (K8s) . · Deploy, monitor, and optimize applications on cloud platforms (AWS/GCP/Azure) . · Implement CI/CD pipelines for automated testing and deployments. · Monitor applications using tools like Prometheus, Grafana, ELK/EFK stack, New Relic, Datadog . · Write unit & integration tests to ensure high-quality and maintainable code. · Participate in code reviews, system design discussions, and peer mentoring . · Collaborate in Agile/Scrum environments and contribute to continuous improvement. · Write unit, integration, and load tests using PyTest, Unittest . · Implement caching, rate limiting, and API gateways for scalable systems. What We’re Looking For · Strong expertise in Python with experience in at least one major framework ( Django and Flask ). · Hands-on experience with React.js for frontend integration. · Solid knowledge of REST APIs, HTTP, JSON, XML, and web standards . · Proficiency with databases : PostgreSQL, MySQL (plus exposure to NoSQL is a plus). · Familiarity with cloud services (AWS/GCP/Azure) and cloud-native practices. · Strong understanding of microservices, messaging queues (Kafka, RabbitMQ, Celery) . · Practical experience with Docker, Kubernetes, and Linux environments . · Knowledge of version control systems (Git/GitHub/GitLab). · Strong debugging, analytical, and problem-solving skills. · Good communication and collaboration skills, with a passion for learning. · Strong knowledge of Solid principle and Design patterns. · Strong understanding of microservices & distributed systems . · Knowledge of security practices : OAuth2, JWT, SSL/TLS, secrets management. · Understanding of design patterns, system architecture, and scalability concepts . · Analytical thinker with excellent debugging & problem-solving skills . · Strong communicator with experience in team collaboration & peer reviews . Nice-to-Have · Experience with FastAPI, GraphQL, or gRPC . · Exposure to DevOps practices and Infrastructure-as-Code (Terraform, Ansible). · Knowledge of security best practices (OAuth2, JWT, TLS). · Experience in high-traffic or low-latency systems . · Familiarity with design tools (Figma, Sketch) for collaboration with designers. · Exposure to Infrastructure as Code (Terraform, Ansible, Helm) . Qualifications 🎓 Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (B.Tech/M.Tech).

Key Responsibilities: Develop, train, and validate predictive and analytical models using machine learning techniques. Collaborate with data engineers and business teams to define data requirements and success metrics. Deploy machine learning models into production using ML Ops best practices. Build automated pipelines for model training, testing, monitoring, and retraining. Optimize model performance and ensure scalability and reliability. Monitor model drift, performance degradation, and ensure continuous improvement. Implement CI/CD practices for machine learning workflows. Technical Skills Required: Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML). Good understanding of data engineering concepts (ETL, data pipelines, APIs). Hands-on with containerization and orchestration (Docker, Kubernetes). Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment. Strong background in statistics, machine learning algorithms, and model evaluation techniques . Familiarity with version control (Git) and CI/CD pipelines. Preferred Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field. Experience in handling large-scale data pipelines and real-time model serving . Exposure to feature stores and automated model monitoring. Strong problem-solving, analytical, and communication skills.

Execute data processing, cleansing, transformation, and analysis of procurement datasets across hotel and corporate functions using GCP, SQL, Tableau Prep, Excel etc. Develop and maintain Tableau dashboards and visualizations to support reporting needs from Procurement Excellence, Corporate Procurement, and Regional Hotel teams. Support month-end, in-month, and ad hoc reporting cycles in line with defined SLAs and agreed standards. Collaborate with senior stakeholders to interpret reporting requirements and deliver insight-led outputs aligned with business goals. Maintain documentation and standard operating procedures (SOPs) for repeatable analytics and reporting activities. Identify data anomalies, proactively flag risks, and recommend actions to improve data quality and operational reporting. Partner with the GP Ops Senior Manager and existing Digital Reporting & Analytics team to triage intake requests, align priorities, and ensure quality assurance of deliverables. Contribute to knowledge-sharing, continuous improvement, and the expansion of a self-service reporting culture. Education: Bachelor’s degree in Computer Science, Information Technology, Data Science, Analytics or a related field, or equivalent experience. Experience & Expertise: 1–3 years in a reporting or analytics role, ideally within procurement or finance functions Experience with large datasets, Excel (advanced), SQL, and Tableau Familiarity with cloud data platforms such as Google Cloud Platform (BigQuery, Cloud Storage) Experience working in a virtual or global team environment Preferred: Smartsheet, PowerPoint, ticketing/intake systems Technical Knowledge: Data transformation and cleaning techniques Business-friendly data visualization principles Understanding of procurement data domains (spend, supplier, PO/invoice, category taxonomy) At IHG Hotels & Resorts, we work together to deliver True Hospitality for Good on a global scale. With corporate offices and over 6,000 hotel destinations worldwide, a career at IHG is the perfect way to broaden your horizons. You’ll experience our unique culture and brilliant colleagues who will support and inspire you. With a host of corporate opportunities to choose from, wherever you are on your career journey, and whatever you want to achieve there’s Room for You at IHG. Over recent years, we’ve transformed our company. We have bold ambitions to drive performance and maintain our relentless focus on growth in order to be the hotel company of choice that guests & owners love. We are a hospitality business at our core and value connections and being together helps us foster a unique sense of belonging that also supports productivity. That’s why here at IHG, we give our colleagues flexibility and balance – working in a hybrid way, blending office and remote working collectively. We recognise that every role is different, that’s why leaders work with teams to determine how and when they collaborate. We provide a wide range of benefits designed to help you live your best work life. These include impressive room discounts across our many properties, recharge days and volunteering days throughout the year. Through our myWellbeing framework, we are committed to supporting wellbeing in your health, lifestyle, and workplace. We offer a unique and inclusive culture, where there is always Room for You to belong, grow and make a difference. Our mission is to welcome everyone and create inclusive teams where we celebrate difference and encourage colleagues to bring their whole selves to work. IHG Hotels & Resorts provides equal employment opportunities to applicants and employees without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other category protected by applicable laws. We promote a culture of trust, support, and acceptance. Always welcoming different backgrounds, experiences, and perspectives. Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

Cvent is looking for a Manager, Site Reliability Engineering to help us scale our systems and ensure stability, reliability and performance and rapid deployments of our platform. We build teams that are inclusive, collaborative, and have a strong sense of ownership for the things they build. If you have a passion and track record for solving problems; moreover, have strong leadership skills, this is a great fit for you. As Manager, SRE you will demonstrate both emerging and current technologies, methods, and processes contributing to the evolution of software deployment processes, enhancing security, reducing risk, and improving the overall end-user experience. As part of the Technology R&D Team, you will play an integral part in advancing DevOps maturity and be a part of a new culture of quality and site reliability. You will continually improve our CI/CD tools, processes, and procedures. You will also be responsible for regular reporting to Senior Technology Leaders and providing updates on organizational risk exposure and risk related issues. What You Will Be Doing: Set the direction and strategy for your team, and help shape the overall SRE program for the company Support the growth by ensuring a robust, scalable, cloud-first infrastructure Own site stability, performance and capacity planning Participate early in the SDLC to ensure reliability is built in from the beginning, and creating plans for successful implementations/launches Foster a learning and ownership culture within the team and the larger Cvent organization Ensure best engineering practices through automation, infrastructure as code, robust system monitoring, alerting, auto scaling, self-healing, etc... Manage complex technical projects and a team of SREs Recruit and develop staff; build a culture of excellence in site reliability and automation Lead by example – roll up your sleeves by debugging and coding; participate in on-call rotation & occasional travel Represent the technology perspective and priorities to leadership and other stakeholders by continuously communicating timeline, scope, risks, and technical road map What You Need for this Position: 12+ years of hands-on technical leadership and people management experience 3+ years of demonstrable experience leading site reliability and performance in large-scale, high-traffic environments Strong leadership, communication and interpersonal skills geared to getting things done Developing themselves and the talent within their charge – fostering and creating opportunity for the team Architect-level understanding of one or more of the major public cloud services (AWS, GCP or Azure), using them to effectively design secure and scalable services Strong understanding of SRE concepts and the DevOps culture, with a focus on leveraging software engineering tools, methodologies and concepts In-depth understanding of automation and CI/CD processes to go along with excellent reasoning and problem-solving skills Experience with Unix/Linux environments with a deep grasp on system internals Worked on large-scale distributed systems including multi-tiered architecture Strong knowledge of modern platforms like Fargate, Docker, Kubernetes etc. Experience working with monitoring tools (Datadog, NewRelic, ELK stack, etc) and Database technologies (SQL Server, Postgres and Couchbase preferred) Validated breadth of understanding and development of solutions based on multiple technologies, including networking, cloud, database, and scripting languages. Experience in prompt engineering, building AI Agents, or MCP is a plus