Description End-to-End AI Development: Co-own the entire lifecycle of AI-powered feature and application development, from ideation to production / integration, leveraging AI development tools (Cursor, Bolt, etc.) to drive speed-to-output. Collaboration & Leadership: Work closely with R&D, QA, and software teams to build and integrate AI-driven functionality into our existing software. AI Roadmap Speed to Execution: drive speed to execution on AI feature roadmap, balancing long-term vision with immediate execution. Rapid Prototyping & Iteration: Move fast, build MVPs, and continuously refine AI-driven features for real-world application. Technical Execution: Implement AI models, APIs, and automation solutions that enhance our product suite. Scaling AI Applications: Optimize and productionize AI features, ensuring scalability and efficiency. Requirements Full Stack Engineering: Strong proficiency in backend and frontend development. AI & Machine Learning: Experience working with AI APIs (OpenAI, Google Vertex AI, Hugging Face, etc.), LLMs, or building AI-driven applications. AI Development Tool Experience: Experience working with AI development tools (eg. Cursor, Bolt, etc.) to drive speed-to-output and reduce manual work when coding (both legacy applications and AI features / functionality). Cloud & Databases: Familiarity with cloud-based deployments, relational (MySQL/Oracle) and non-relational (MongoDB) databases. Fast Execution: Ability to move quickly, iterate, and optimize AI-based solutions. Show more Show less

Your role In this role you will play a key role in Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Must Have Skills Solid understanding of python Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX Experience with natural language processing (NLP) and machine learning (ML) Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile 4-6+ years of experience in AI development Experience with Google Cloud Platform specifically delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions What youll love about working here ChoosingCapgemini means having the opportunity to make a difference, whetherfor the worlds leading businesses or for society. It means when the futuredoesnt look as bright as youd like, youhave the opportunity tomake changetorewrite it. When you join Capgemini, you dont just start a new job. You become part of something bigger. A diverse collective of free-thinkers, entrepreneurs and experts, all working together to unleash human energy through technology, for an inclusive and sustainable future. You can exponentially grow your career by being part of innovative projects and taking advantage of our extensiveLearning & Development programs. With us, you will experience aninclusive , safe, healthy, andflexible work environment to bring out the bestin you! You also get a chance to make positive social change and build a better world by taking an active role in ourCorporate Social Responsibility andSustainability initiatives. And whilst you make a difference, you will also have a lot offun . About Capgemini:

Halo believes in innovation by inclusion to solve digital problems . As an international agency of over 200 people specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form deep, meaningful relationships with our clients so they can do the same with their audience. Working at Halo feels like belonging . Learn more about our philosophy, benefits, and team at https://halopowered.com/As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices—while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies As a Data Scientist, you'll be part of a multidisciplinary team applying advanced analytics, machine learning, and generative AI to solve real-world problems across our consulting, health, wealth, and career businesses. You will collaborate closely with engineering, product, and business stakeholders to develop scalable models, design intelligent pipelines, and influence data-driven decision-making across the enterprise. Requirements Design, develop, and deploy robust machine learning models and data pipelines that support AI-enabled applications Apply exploratory data analysis (EDA) and feature engineering techniques to extract insights and improve model performance Collaborate with cross-functional teams to translate business problems into analytical use cases Contribute to the full machine learning lifecycle: from data preparation and model experimentation to deployment and monitoring Work with structured and unstructured data, including text, to develop NLP and generative AI solutions Define and enforce best practices in model validation, reproducibility, documentation, and versioning Partner with engineering to integrate models into production systems using CI/CD pipelines and cloud-native services Stay current with industry trends, emerging techniques (e.g., RAG, LLMs, embeddings), and relevant tools Required Skills & Qualifications 3+ years of experience in Data Science, Machine Learning, or Applied AI roles Proficiency in Python (preferred) and a strong grasp of pandas, NumPy, and scikit-learn Skilled in data querying, manipulation, and pipeline development using SQL and modern ETL frameworks Experience working with Databricks, including notebooks, MLflow, Delta Lake, and job orchestration Experience with Git-based workflows and Agile methodologies Strong analytical thinking, problem-solving skills, and communication abilities Exposure to Generative AI, LLMs, prompt engineering, or vector-based search Hands-on experience with cloud platforms (AWS, Azure, or GCP) and deploying models in scalable environments Knowledge of data versioning, model registry, and ML lifecycle tools (e.g., MLflow, DVC, SageMaker, DataBricks, or Vertex AI) Experience working with visualization tools like Tableau, Power BI, or Qlik Degree in Computer Science, Data Science, Applied Mathematics, or a related field Benefits 100% RemoteWork Salary in USD Get to work on challenging projects for the U.S Show more Show less

About Vois VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Description Key responsibilities include: GCP certifications (e.g., Professional Cloud DevOps Engineer, Cloud Architect). Experience deploying and managing AI/ML and GenAI models in production. Familiarity with data governance, model lifecycle management, and responsible AI practices. Cloud Expertise: Deep experience with Google Cloud Platform (GCP) services (Compute Engine, GKE, Cloud Functions, Vertex AI, BigQuery, etc.). DevOps Tools: Jenkins, GitLab CI/CD, ArgoCD, or similar. IaC: Terraform, Google Deployment Manager, Ansible. Containers & Orchestration: Docker, Kubernetes (GKE preferred), Helm. Monitoring & Logging: Google Cloud Operations Suite (formerly Stackdriver), Prometheus. Scripting & Automation: Python, Bash, NodeJs. AI/ML & GenAI: Experience with Vertex AI, Kubeflow, MLflow, LangChain, Hugging Face, or OpenAI APIs. Security & Compliance: IAM, VPC, service accounts, secrets management. Experience 12+ years of experience in DevOps/cloud roles, with 3+ years in a leadership capacity. Must Have Technical / Professional Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. DevOps Tools: Jenkins, GitLab CI/CD, ArgoCD, or similar. VOIS Equal Opportunity Employer Commitment India VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

Job description Job Title: MLOps Engineer Company: Aaizel International Technologies Pvt. Ltd. Location: Gurugram Experience Required: 6+ Years Employment Type: Full-Time About Aaizeltech Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, and intelligent embedded systems. We are seeking a Senior MLOps Engineer to lead the architecture, deployment, automation, and scaling of infrastructure and ML systems across multiple product lines. Role Overview This role requires strong expertise and hands-on MLOps experience. You will architect and manage cloud infrastructure, CI/CD systems, Kubernetes clusters, and full ML pipelines—from data ingestion to deployment and drift monitoring. Key Responsibilities MLOps Responsibilities: Collaborate with data scientists to operationalize ML workflows. Build complete ML pipelines with Airflow, Kubeflow Pipelines, or Metaflow. Deploy models using KServe, Seldon Core, BentoML, TorchServe, or TF Serving. Package models into Docker containers using Flask or FastAPI or Django for APIs. Automated dataset versioning & model tracking via DVC and MLflow. Setup model registries and ensure reproducibility and audit trails. Implement model monitoring for: (i) Data drift and schema validation (using tools like Evidently AI, Alibi Detect). (ii) Performance metrics (accuracy, precision, recall). (iii) Infrastructure metrics (latency, throughput, memory usage). Implement event-driven retraining workflows triggered by drift alerts or data freshness. Schedule GPU workloads on Kubernetes and manage resource utilization for ML jobs. Design and manage secure, scalable infrastructure using AWS, GCP, or Azure. Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or AWS DevOps. Write and manage Infrastructure as Code using Terraform, Pulumi, or CloudFormation. Automated configuration management with Ansible, Chef, or SaltStack. Manage Docker containers and advanced Kubernetes resources (Helm, StatefulSets, CRDs, DaemonSets). Implement robust monitoring and alerting stacks: Prometheus, Grafana, CloudWatch, Datadog, ELK, or Loki. Must-Have Skills Advanced expertise in Linux administration, networking, and shell scripting. Strong knowledge of Docker, Kubernetes, and container security. Hands-on experience with IaC tools like Terraform and configuration management like Ansible. Proficient in cloud-native services: IAM, EC2, EKS/GKE/AKS, S3, VPCs, Load Balancing, Secrets Manager. Mastery of CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions). Familiarity with SaaS architecture, distributed systems, and multi-env deployments. Proficiency in Python for scripting and ML-related deployments. Experience integrating monitoring, alerting, and incident management workflows. Strong understanding of DevSecOps, security scans (e.g., Trivy, SonarQube, Snyk) and secrets management tools (Vault, SOPS). Experience with GPU orchestration and hybrid on-prem + cloud environments. Nice-to-Have Skills Knowledge of GitOps workflows (e.g., ArgoCD, FluxCD). Experience with Vertex AI, SageMaker Pipelines, or Triton Inference Server. Familiarity with Knative, Cloud Run, or serverless ML deployments. Exposure to cost estimation, rightsizing, and usage-based autoscaling. Understanding of ISO 27001, SOC2, or GDPR-compliant ML deployments. Knowledge of RBAC for Kubernetes and ML pipelines. Who You'll Work With AI/ML Engineers, Backend Developers, Frontend Developers, QA Team Product Owners, Project Managers, and external Government or Enterprise Clients How to Apply If you are passionate about embedded systems and excited to work on next-generation technologies, we would love to hear from you. Please send your resume and a cover letter outlining your relevant experience to hr@aaizeltech.com or bhavik@aaizeltech.com or anju@aaizeltech.com (Contact No- 7302201247) Show more Show less

About VOIS VO IS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VO IS has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. About VOIS India In 2009, VO IS started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VO IS India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Job Description Key responsibilities include: Strong hands-on experience with Python. Proficiency in Google Cloud Platform (GCP) and Azure Cloud. Experience with Vertex AI Pipelines. Expertise in CI/CD setup, Cloud Build, and GitHub Actions. Proficient in Docker and container orchestration. Experience with YAML for configuration and infrastructure. Familiarity with LLM models and GenAICollaborate with data engineers and DevOps teams to ensure seamless integration and deployment. Write and maintain infrastructure as code using YAML. Implement and manage CI/CD pipelines for ML workflows.Work with GitHub for version control and collaboration. Ensure model governance and compliance using protocols like Model Context Protocol and A2A Protocol. Participate in code reviews, design discussions, and team planning sessions. Experience 8+ years of experience in ML/AI engineering roles. Experience working in agile and fast-paced environments. Must Have Technical / Professional Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, or related field. Strong team collaboration and version control using GitHub. Design, develop, and deploy ML and GenAI solutions using Python and LLM frameworks. Build and manage ML pipelines using Vertex AI Pipelines and CI/CD tools like Cloud Build and GitHub Actions. Containerize applications using Docker and manage deployments on Google Cloud Platform (GCP) and Azure VOIS Equal Opportunity Employer Commitment India VO IS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 10 Best Workplaces for Millennials, Equity, and Inclusion , Top 50 Best Workplaces for Women , Top 25 Best Workplaces in IT & IT-BPM and 10th Overall Best Workplaces in India by the Great Place to Work Institute in 2024. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch! Show more Show less

The ideal candidate will have strong hands-on experience across frontend technologies (React, TypeScript, Redux, Webpack) and backend technologies (Java, Spring Boot, Vert.x) maintain end-to-end features, from UI design to backend services.

Job Title: Experienced AI Developer Location: Chandigarh Job Type: Full-Time Experience Level: Mid to Senior-Level Job Summary: As an AI Developer, you will be responsible for designing, developing, and deploying machine learning and deep learning models. You will work closely with our data science, product, and engineering teams to integrate AI capabilities into our software applications. Key Responsibilities: Design and implement AI/ML models tailored to business requirements. Train, fine-tune, and evaluate models using datasets from various domains. Integrate AI solutions into web or mobile applications. Collaborate with cross-functional teams to define AI strategies. Optimize models for performance, scalability, and reliability. Stay updated with the latest advancements in AI/ML technologies and frameworks. Deploy models to production environments using tools like Docker, Kubernetes, or cloud services (AWS/GCP/Azure). Write clean, maintainable, and well-documented code. Required Skills and Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and popular ML libraries (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with NLP, computer vision, or recommendation systems. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with REST APIs and microservices architecture. Solid understanding of AI ethics, bias mitigation, and responsible AI development. Preferred Qualifications: Experience with large language models (e.g., GPT, LLaMA, Claude). Knowledge of AI deployment tools like MLflow, SageMaker, or Vertex AI. Experience with prompt engineering or fine-tuning foundation models. Job Type: Full-time Pay: ₹35,000.00 - ₹70,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

Job Description 3D modelling artists/ 3D Generalists are to create Hard Surface/ Product Modelling and Soft Body 3D models. Sculpting artists are to use Zbrush for adding details to 3D Assets. Roles and Responsibilities ❖ Modelling skills in Zbrush/ Autodesk Maya. Ability to create excellent neat and clean low poly 3D models in real-world size and with a proper snapping of vertex, logical naming, grouping, and excellent topology in Autodesk Maya, Zbrush. ❖ Cleaning up the mesh and texture of raw 3D scans using Zbrush/ Mudbox. ❖ Retopology of the clean 3D scans. ❖ Create High and Mid poly 3d models: Ability to create the LOD (Level of detail) of the same model as per prescribed poly budget. ❖ Follow design references and work in a range of styles: Must have an eye to capture the details from the provided references, and create the 3d models accordingly. Create alternate visual styles in accordance with the client’s vision and needs. Software Needed: Modelling/Sculpting - Autodesk Maya/MAX/Zbrush. Experience required : 1 + years experience in 3D Product Modeling

Skill required: Digital Inside Sales - Inside Sales Designation: Inside Sales Account Rep Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Transforming sales to become a future-ready and digital B2B revenue engine. The team helps assess, design, build and implement best practices on process, organization, and technology to create, execute, and run a collaborative sales and support roles. Provide support for lead/opportunity generation: conduct calls / send emails / connect via social media to generate leads, schedule first meetings for sales/pre-sales, conduct customer surveys, identify participants for events, and bring awareness of the product or offering on behalf of sales/marketing teams. What are we looking for? This position is responsible for driving product adoption, deliver high levels of business value, and cultivate deep customer relationships. This role will be responsible for all aspects of renewals, account management, adoption, customer success planning, and expansion sales. The role drives overall customer satisfaction including reporting and analytics of revenue impact tied to client success, client testimonials, and client references. • Bachelor’s Degree • Four (4) plus years of customer success, account management, or sales experience in SaaS or similar industry. • Two (2) plus years in a customer service-oriented role required. • Broad knowledge and experience in Sales and Marketing processes and systems. • Experience with Sales and Marketing technology such as Salesforce, etc. • Or equivalent combination of education and/or experience Roles and Responsibilities: • • Customer Relationship Management: Develop and maintain strong, long-lasting relationships with key stakeholders in your customer accounts. • Onboarding and Training: Guide new customers through the onboarding process, ensuring they are set up for success and fully understand how to use our products. • Churn Risk Identification: Monitor customer health scores and usage data to identify early signs of dissatisfaction or potential churn. • Retention Strategies: Develop and implement targeted retention strategies to address customer pain points and improve satisfaction. • Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive product adoption and ensure they are leveraging the solution to achieve full business value. • Establish trusted relationships with customers, sustaining relationships through the full life cycle of the subscription ensuring their success. • Act as an extension of the customer, being a proactive advocate within Vertex and the customer to accomplish defined objectives. • Proactively grow the breadth and depth of strategic relationships within assigned customers. • Help customers calculate and monetize business value by driving quarterly reporting with customers; measuring business value, penetration, usage, and adoption. • Closely manage and nurture accounts to identify and eliminate risk of attrition. • Partner with internal stakeholders to align account activities with the customers business case and strategy. • Proactively informs customers of features, issues, resolutions that may increase customer value and loyalty. • Ensure customers are aware of and educated on new features and releases. • Monitor and identify adoption and utilization trends, provide recommendations based on risk and customers business needs. Any Graduation

Skill required: Digital Inside Sales - Inside Sales Designation: Customer Success Mgmt Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Transforming sales to become a future-ready and digital B2B revenue engine. The team helps assess, design, build and implement best practices on process, organization, and technology to create, execute, and run a collaborative sales and support roles. Provide support for lead/opportunity generation: conduct calls / send emails / connect via social media to generate leads, schedule first meetings for sales/pre-sales, conduct customer surveys, identify participants for events, and bring awareness of the product or offering on behalf of sales/marketing teams. What are we looking for? Roles and Responsibilities Ensure new customers see immediate success and value by providing technical help during onboarding and post go-live phase Coordinate and execute activities with customers via web-based meetings, phone, and email throughout the various stages of onboarding Churn Risk Identification: Monitor customer health scores and usage data to identify early signs of dissatisfaction or potential churn. Retention Strategies: Develop and implement targeted retention strategies to address customer pain points and improve satisfaction. Customer Feedback: Collect and analyze customer feedback to identify areas for improvement and work with internal teams to address these issues. Execute high level troubleshooting and drive resolution of customer issues as quickly as possible. Provide recommendations for upsell and cross sell of Vertex solutions Identifying and assessing potential risks of churn and developing and implementing risk mitigation strategies Monitoring and reporting on the effectiveness of risk management processes Collaborating with various departments to ensure risk management practices are integrated into daily operations Set and manage expectations monitoring customer’s achievements. • Bachelor’s degree and 2-plus years of relevant work experience, preferably in Cloud technology implementation, project management and support • Experience in implementing solutions on Major cloud platforms • Proven track record of onboarding and supporting customers to deliver high customer satisfaction, advocacy, and loyalty • Experience navigating and steering customer engagements to completion with a high level of customer satisfaction • Strong listening and verbal communication skills • Familiarity with common customer success and CRM platforms such as Salesforce, Gainsight etc. • Experience in the enterprise, XaaS, cloud, or services space • An affinity for getting to know people and helping them solve their business problems Roles and Responsibilities: •Roles and Responsibilities Ensure new customers see immediate success and value by providing technical help during onboarding and post go-live phase Coordinate and execute activities with customers via web-based meetings, phone, and email throughout the various stages of onboarding Churn Risk Identification: Monitor customer health scores and usage data to identify early signs of dissatisfaction or potential churn. Retention Strategies: Develop and implement targeted retention strategies to address customer pain points and improve satisfaction. Customer Feedback: Collect and analyze customer feedback to identify areas for improvement and work with internal teams to address these issues. Execute high level troubleshooting and drive resolution of customer issues as quickly as possible. Provide recommendations for upsell and cross sell of Vertex solutions Identifying and assessing potential risks of churn and developing and implementing risk mitigation strategies Monitoring and reporting on the effectiveness of risk management processes Collaborating with various departments to ensure risk management practices are integrated into daily operations Set and manage expectations monitoring customer’s achievements Any Graduation

Job Title: GenAI Architect – Retail Technology Office Location: Chennai or Bangalore About The Role We are seeking a visionary and hands-on GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions in the Retail domain. This role is pivotal in shaping our AI strategy, building innovative offerings, and driving client success through impactful PoCs and solutions. The architect will work closely with the CTO and the Retail strategy office to define the AI roadmap, lead a team of engineers and architects, and represent the company in client engagements and industry forums. Key Responsibilities Architect and Lead the development of GenAI and Agentic AI solutions tailored for retail use cases (e.g., personalized shopping, intelligent agents, supply chain optimization). Collaborate with the CTO to define AI strategy, solution blueprints, and innovation roadmaps. Design and Build scalable PoCs, MVPs, and production-grade solutions using state-of-the-art GenAI tools and frameworks. Lead and Mentor a team of engineers and architects, fostering a culture of innovation, quality, and continuous learning. Engage with Clients to present PoVs, conduct workshops, and articulate the value of GenAI solutions with compelling storytelling and technical depth. Ensure Engineering Excellence by applying best practices in TDD, BDD, DevSecOps, and microservices architecture. Required Skills & Experience AI/ML & GenAI Expertise Proven hands-on experience with: LLMs (e.g., OpenAI, Claude, Mistral, LLaMA, Gemini) GenAI frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel Agentic AI tools: Google Agentspace, ADK, LangGraph, AutoGen, CrewAI, MetaGPT, AutoGPT, OpenAgents Vector databases: Vertex AI, FAISS, Weaviate, Pinecone, Chroma Prompt engineering, RAG pipelines, fine-tuning, and orchestration Engineering & Architecture Strong background in: Java Spring Boot, REST APIs, Microservices Cloud platforms: AWS, Azure, or GCP CI/CD, DevSecOps, TDD/BDD Containerization (Docker, Kubernetes) Leadership & Communication Exceptional storytelling and articulation skills to convey complex AI concepts to technical and non-technical audiences. Experience in client-facing roles, including workshops, demos, and executive presentations. Ability to lead cross-functional teams and drive innovation in a fast-paced environment. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field Certifications in AI/ML and Cloud (GCP or Azure) Experience in the Retail domain or consumer-facing industries is a strong plus Why Join Us? Be at the forefront of AI innovation in Retail Work with a visionary leadership team Build solutions that impact Cognizant’s Retail clients Enjoy a collaborative, inclusive, and growth-oriented culture Show more Show less

We are seeking a highly motivated and skilled Senior Fullstack Engineer to join our dynamic engineering team. The ideal candidate will have a strong command of Python for backend development, expertise in React for building intuitive user interfaces, and a solid understanding of both SQL and NoSQL databases. This role also requires a candidate who is proficient with or has a keen interest in leveraging Generative AI tools (such as GitHub Copilot, Google Gemini, OpenAI's GPT models, etc.) to enhance productivity, improve code quality, and explore innovative solutions. You will be instrumental in designing, developing, and deploying robust and scalable enterprise cloud applications, from concept to production. This is an excellent opportunity for someone who thrives in a fast-paced environment and is passionate about building cutting-edge technology while embracing the power of AI-assisted development. Responsibilities: · Design, develop, and maintain high-performance, scalable, and secure cloud applications using Python (e.g., Django, Flask, FastAPI) for the backend. · Build responsive and interactive user interfaces using React.js, ensuring a seamless user experience. · Collaborate with product managers, designers, and other engineers to understand requirements, define technical specifications, and deliver features on time. · Manage and optimize data storage solutions, working with both SQL (e.g., PostgreSQL, MySQL, Cloud SQL) and NoSQL databases (e.g., MongoDB, Redis, Firestore, Datastore). · Implement and maintain RESTful APIs and microservices. · Architect, deploy, and manage applications and services on Google Cloud Platform (GCP). · Write clean, well-documented, and testable code, adhering to best practices. · Actively leverage and champion the use of Generative AI tools (e.g., GitHub Copilot, Google Gemini, other LLM-based assistants) for code generation, debugging, refactoring, and exploring new approaches. · Participate in code reviews, providing constructive feedback to peers. · Troubleshoot and debug production issues, ensuring high availability and performance. · Stay up-to-date with the latest industry trends, technologies, and best practices in fullstack development and Generative AI. · Contribute to the continuous improvement of our development processes and tools. Required Skills & Qualifications: · Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience). · 4-6 years of professional experience in fullstack cloud application development. · Strong proficiency in Python for backend development (e.g., Django, Flask, FastAPI). · Expertise in React.js and its ecosystem (Redux, Context API, Hooks, etc.). · Solid understanding of HTML5, CSS3, and JavaScript (ES6+). · Proficiency with SQL databases (e.g., PostgreSQL, MySQL, Cloud SQL) and experience with database design, querying, and optimization. · Experience with NoSQL databases (e.g., MongoDB, Redis, Cassandra, Firestore, Datastore) and understanding of their use cases. · Experience with Docker and Kubernetes (especially GKE). · Demonstrated experience or strong familiarity with Generative AI tools such as GitHub Copilot, Google Gemini, ChatGPT, or similar AI code assistants. Ability to articulate how these tools can enhance development workflows. · Understanding of software development best practices, including testing, continuous integration, and continuous delivery (CI/CD). · Excellent problem-solving, analytical, and communication skills. · Ability to work independently and as part of a collaborative team. Bonus Points: · Familiarity with GCP's AI/ML services (e.g., Vertex AI). Job Types: Full-time, Permanent Pay: ₹1,811,871.11 - ₹3,002,957.88 per year Benefits: Health insurance Provident Fund Application Question(s): Work from Office Education: Bachelor's (Required) Language: English (Required) Location: Hyderabad, Telangana (Required) Work Location: In person

We’re hiring a Senior ML Engineer (MLOps) — 3-5 yrs Location: Kochi or Chennai What you’ll do Tame data → pull, clean, and shape structured & unstructured data. Orchestrate pipelines → Airflow / Step Functions / ADF… your call. Ship models → build, tune, and push to prod on SageMaker, Azure ML, or Vertex AI. Scale → Spark / Databricks for the heavy lifting. Automate everything → Docker, Kubernetes, CI/CD, MLFlow, Seldon, Kubeflow. Pair up → work with engineers, architects, and business folks to solve real problems, fast. What you bring 3+ yrs hands-on MLOps (4-5 yrs total software experience). Proven chops on one hyperscaler (AWS, Azure, or GCP). Confidence with Databricks / Spark , Python, SQL, TensorFlow / PyTorch / Scikit-learn. You debug Kubernetes in your sleep and treat Dockerfiles like breathing. You prototype with open-source first, choose the right tool, then make it scale. Sharp mind, low ego, bias for action. Nice-to-haves Sagemaker, Azure ML, or Vertex AI in production. Love for clean code, clear docs, and crisp PRs. Why Datadivr? Domain focus: we live and breathe F&B — your work ships to plants, not just slides. Small team, big autonomy: no endless layers; you own what you build. 📬 How to apply Shoot your CV + a short note on a project you shipped to careers@datadivr.com or DM me here. We reply to every serious applicant. Know someone perfect? Please share — good people know good people. Show more Show less

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. We are looking for a Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP), Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.). The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premises and cloud-based systems along with focus on reducing costs for Google Cloud. What You’ll Do Work in a DevSecOps environment responsible for the building and running of large-scale, massively distributed, fault-tolerant systems. Work closely with development and operations teams to build highly available, cost effective systems with extremely high uptime metrics. Work with cloud operations team to resolve trouble tickets, develop and run scripts, and troubleshoot Create new tools and scripts designed for auto-remediation of incidents and establishing end-to-end monitoring and alerting on all critical aspects Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Participate in a team of first responders in a 24/7 environment, follow the sun operating model for incident and problem management What Experience You Need BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required 2-5 years of experience in software engineering, systems administration, database administration, and networking. 1+ years of experience developing and/or administering software in public cloud Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives. Experience in languages such as Python, Bash, Java, Go JavaScript and/or node.js Demonstrable cross-functional knowledge with systems, storage, networking, security and databases System administration skills, including automation and orchestration of Linux/Windows using Terraform, Chef, Ansible and/or containers (Docker, Kubernetes, etc.) Proficiency with continuous integration and continuous delivery tooling and practices Cloud Certification Strongly Preferred What Could Set You Apart You have experience designing, analyzing and troubleshooting large-scale distributed systems. You take a system problem-solving approach, coupled with strong communication skills and a sense of ownership and drive You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation You are passionate for automation with a desire to eliminate toil whenever possible You’ve built software or maintained systems in a highly secure, regulated or compliant industry You thrive in and have experience and passion for working within a DevOps culture and as part of a team We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Show more Show less

Job description Job Title: MLOps Engineer Company: Aaizel International Technologies Pvt. Ltd. Location: On Site Experience Required: 6+ Years Employment Type: Full-Time About Aaizeltech Aaizeltech is a deep-tech company building AI/ML-powered platforms, scalable SaaS applications, and intelligent embedded systems. We are seeking a Senior MLOps Engineer to lead the architecture, deployment, automation, and scaling of infrastructure and ML systems across multiple product lines. Role Overview This role requires strong expertise and hands-on MLOps experience. You will architect and manage cloud infrastructure, CI/CD systems, Kubernetes clusters, and full ML pipelines—from data ingestion to deployment and drift monitoring. Key Responsibilities MLOps Responsibilities: Collaborate with data scientists to operationalize ML workflows. Build complete ML pipelines with Airflow, Kubeflow Pipelines, or Metaflow. Deploy models using KServe, Seldon Core, BentoML, TorchServe, or TF Serving. Package models into Docker containers using Flask or FastAPI or Django for APIs. Automated dataset versioning & model tracking via DVC and MLflow. Setup model registries and ensure reproducibility and audit trails. Implement model monitoring for: (i) Data drift and schema validation (using tools like Evidently AI, Alibi Detect). (ii) Performance metrics (accuracy, precision, recall). (iii) Infrastructure metrics (latency, throughput, memory usage). Implement event-driven retraining workflows triggered by drift alerts or data freshness. Schedule GPU workloads on Kubernetes and manage resource utilization for ML jobs. Design and manage secure, scalable infrastructure using AWS, GCP, or Azure. Build and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or AWS DevOps. Write and manage Infrastructure as Code using Terraform, Pulumi, or CloudFormation. Automated configuration management with Ansible, Chef, or SaltStack. Manage Docker containers and advanced Kubernetes resources (Helm, StatefulSets, CRDs, DaemonSets). Implement robust monitoring and alerting stacks: Prometheus, Grafana, CloudWatch, Datadog, ELK, or Loki. Must-Have Skills Advanced expertise in Linux administration, networking, and shell scripting. Strong knowledge of Docker, Kubernetes, and container security. Hands-on experience with IaC tools like Terraform and configuration management like Ansible. Proficient in cloud-native services: IAM, EC2, EKS/GKE/AKS, S3, VPCs, Load Balancing, Secrets Manager. Mastery of CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions). Familiarity with SaaS architecture, distributed systems, and multi-env deployments. Proficiency in Python for scripting and ML-related deployments. Experience integrating monitoring, alerting, and incident management workflows. Strong understanding of DevSecOps, security scans (e.g., Trivy, SonarQube, Snyk) and secrets management tools (Vault, SOPS). Experience with GPU orchestration and hybrid on-prem + cloud environments. Nice-to-Have Skills Knowledge of GitOps workflows (e.g., ArgoCD, FluxCD). Experience with Vertex AI, SageMaker Pipelines, or Triton Inference Server. Familiarity with Knative, Cloud Run, or serverless ML deployments. Exposure to cost estimation, rightsizing, and usage-based autoscaling. Understanding of ISO 27001, SOC2, or GDPR-compliant ML deployments. Knowledge of RBAC for Kubernetes and ML pipelines. Who You'll Work With AI/ML Engineers, Backend Developers, Frontend Developers, QA Team Product Owners, Project Managers, and external Government or Enterprise Clients How to Apply If you are passionate about embedded systems and excited to work on next-generation technologies, we would love to hear from you. Please send your resume and a cover letter outlining your relevant experience to hr@aaizeltech.com or bhavik@aaizeltech.com or anju@aaizeltech.com (Contact No- 7302201247) Show more Show less

Job Post :- AI/ML Engineer Experience - 4+ years Location - Remote Key Responsibilities: Design, build, and maintain ML infrastructure on GCP using tools such as Vertex AI, GKE, Dataflow, BigQuery, and Cloud Functions. Develop and automate ML pipelines for model training, validation, deployment, and monitoring using tools like Kubeflow Pipelines, TFX, or Vertex AI Pipelines. Work with Data Scientists to productionize ML models and support experimentation workflows. Implement model monitoring and alerting for drift, performance degradation, and data quality issues. Manage and scale containerized ML workloads using Kubernetes (GKE) and Docker. Set up CI/CD workflows for ML using tools like Cloud Build, Bitbucket, Jenkins, or similar. Ensure proper security, versioning, and compliance across the ML lifecycle. Maintain documentation, artifacts, and reusable templates for reproducibility and auditability. Having GCP MLE Certification is Plus Show more Show less

Job Title: Experienced AI Developer Location: Chandigarh Job Type: Full-Time Experience Level: Mid to Senior-Level Job Summary: As an AI Developer, you will be responsible for designing, developing, and deploying machine learning and deep learning models. You will work closely with our data science, product, and engineering teams to integrate AI capabilities into our software applications. Key Responsibilities: Design and implement AI/ML models tailored to business requirements. Train, fine-tune, and evaluate models using datasets from various domains. Integrate AI solutions into web or mobile applications. Collaborate with cross-functional teams to define AI strategies. Optimize models for performance, scalability, and reliability. Stay updated with the latest advancements in AI/ML technologies and frameworks. Deploy models to production environments using tools like Docker, Kubernetes, or cloud services (AWS/GCP/Azure). Write clean, maintainable, and well-documented code. Required Skills and Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and popular ML libraries (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with NLP, computer vision, or recommendation systems. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with REST APIs and microservices architecture. Solid understanding of AI ethics, bias mitigation, and responsible AI development. Preferred Qualifications: Experience with large language models (e.g., GPT, LLaMA, Claude). Knowledge of AI deployment tools like MLflow, SageMaker, or Vertex AI. Experience with prompt engineering or fine-tuning foundation models. Job Type: Full-time Pay: ₹35,000.00 - ₹70,000.00 per month Benefits: Health insurance Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Technology Product & Platform Management Job Sub Function: Technical Product Management Job Category: Scientific/Technology All Job Posting Locations: Bangalore, Karnataka, India Job Description: Johnson & Johnson Corporate Business Technology (CBT) is seeking a Technical Product Owner – Vendor Invoice Management (VIM) to support the AP Transformation program, which is part of the overall Transact initiative. The TPO (Technical Product Owner) for VIM is part of the overall Transact Program and will work at the intersection of business & technology to define strategies that combine a deep understanding of business objectives, challenges with technology solutions and extending them into development execution, value realization & ongoing product management. This role is responsible to lead the road map, execution, and implementation of the interim solution as well as the end state Vendor Invoice Management (VIM) solution on S/4 HANA (CFIN) as part of the AP Transformation & Treasury Management project. As TPO for VIM you will manage the VIM Squad and partner with different other Transact program streams such as I2C, TMS, A2R, Tax, MDG, Transcend and Procurement partners Key responsibilities: Leads Design and Delivery of SAP Finance solutions with a focus on Invoicing. This role requires a broad in-depth knowledge of Accounts Payable business processes and the SAP FI-AP (Finance Accounts Payable) module, including integrations with other SAP modules (MM, FICO, APM) as well as integration external providers such as Vertex. Business Problem Definition: understanding and translating business problems faced by the finance function into a value case & comprehensive set of solutions spanning process, technology, data, governance & user experience supported by defined, baseline value realization key performance indicators External Insights: understanding external trends and insights related to Invoice to Pay processes & technology, including SAP Best Practices, industry acceptability & scalability. Solution Design: ensuring that product development efforts incorporate an approach that starts with experimentation to validate expected impact, includes human centered design, embraces agile principles, incorporates external insights, required end to end process optimizations, and compliance engagement Architecture: partnering with the finance architecture team to define the role each system plays within our landscape aligned with business capabilities Internal Partnerships: acting as the primary trusted advisor to senior finance & technology leaders across all lifecycles of product development starting with inception through to value realization & ongoing continuous improvement, and communication of progress against strategic objectives Product Management: partnering with product management teams to ensure roadmaps are oriented to deliver finance business & technology strategy, value creation objectives, and measurable key performance indicators External Partnerships: leading vendor relationships to influence development roadmaps & ensure that our needs will be met by our technology partners Team Leadership: demonstrate strong leadership qualities and transparent communication within the team Experience and Skills: Required: Bachelor’s or Equivalent Degree Minimum 10 years of relevant working experience in leading technical and / or product teams, generating alignment and embracing diversity and inclusion Minimum 5 years of SAP implementation experience within FI-AP Procure to Pay (P2P) Knowledge: Invoice Management, Payment Management, and integration with FI, MM and TMS Strong knowledge of Reporting and Interface design with other applications Problem solving and process improvements skills Experience working in a matrix environment Key problem-solving skills in developing communication strategies and actions Requires high degree of independent judgment and decision making Fluent in English Preferred: Experience with OpenText Invoice Management solution Experience in SAP S/4 Accounts Payable Advanced understanding of J&J I/T's technology standards and strategies Experience in Heath Care and Science Industry Experience with JIRA and Confluence Standout colleague with good communication skills and customer orientation, aiming at effective collaboration with internal and external partners. Travel: Up to 25% of time

Job Description Navtech is looking for a AI/ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions. Working as an AI/ML Engineer at Navtech, you will : Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks. Clean, preprocess, and analyze large datasets to extract meaningful insights and features. Work closely with data engineers to develop scalable and reliable data pipelines. Experiment with different algorithms and techniques to improve model performance. Monitor and maintain production ML models, including retraining and model drift detection. Collaborate with software engineers to integrate ML models into applications and services. Document processes, experiments, and decisions for reproducibility and transparency. Stay current with the latest research and trends in machine learning and AI. Who Are We Looking for Exactly ? 2- 4 years of hands-on experience in building and deploying ML models in real-world applications. Strong knowledge of Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Experience with data preprocessing, feature engineering, and model evaluation techniques. Solid understanding of ML concepts such as supervised and unsupervised learning, overfitting, regularization, etc. Experience working with Jupyter, pandas, NumPy, and visualization libraries like Matplotlib or Seaborn. Familiarity with version control (Git) and basic software engineering practices. You consistently demonstrate strong verbal and written communication skills as well as strong analytical and problem-solving abilities You should have a masters degree /Bachelors (BS) in computer science, Software Engineering, IT, Technology Management or related degrees and throughout education in English medium. Well REALLY Love You If You Have knowledge of cloud platforms (AWS, Azure, GCP) and ML services (SageMaker, Vertex AI, etc.) Have knowledge of GenAI prompting and hosting of LLMs. Have experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK). Have familiarity with MLOps tools and practices (MLflow, DVC, Kubeflow, etc.). Have exposure to deep learning and neural network architectures. Have knowledge of REST APIs and how to serve ML models (e.g., Flask, FastAPI, Docker). Why Navtech? Performance review and Appraisal Twice a year. Competitive pay package with additional bonus & benefits. Work with US, UK & Europe based industry renowned clients for exponential technical growth. Medical Insurance cover for self & immediate family. Work with a culturally diverse team from different us : Navtech is a premier IT software and Services provider. Navtechs mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad. Were a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030. (ref:hirist.tech) Show more Show less

Skill required: Digital Inside Sales - Inside Sales Designation: Inside Sales Account Rep Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Transforming sales to become a future-ready and digital B2B revenue engine. The team helps assess, design, build and implement best practices on process, organization, and technology to create, execute, and run a collaborative sales and support roles. Provide support for lead/opportunity generation: conduct calls / send emails / connect via social media to generate leads, schedule first meetings for sales/pre-sales, conduct customer surveys, identify participants for events, and bring awareness of the product or offering on behalf of sales/marketing teams. What are we looking for? This position is responsible for driving product adoption, deliver high levels of business value, and cultivate deep customer relationships. This role will be responsible for all aspects of renewals, account management, adoption, customer success planning, and expansion sales. The role drives overall customer satisfaction including reporting and analytics of revenue impact tied to client success, client testimonials, and client references. Bachelor’s Degree Four (4) plus years of customer success, account management, or sales experience in SaaS or similar industry. Two (2) plus years in a customer service-oriented role required. Broad knowledge and experience in Sales and Marketing processes and systems. Experience with Sales and Marketing technology such as Salesforce, etc. Or equivalent combination of education and/or experience Roles and Responsibilities: Customer Relationship Management: Develop and maintain strong, long-lasting relationships with key stakeholders in your customer accounts. Onboarding and Training: Guide new customers through the onboarding process, ensuring they are set up for success and fully understand how to use our products. Churn Risk Identification: Monitor customer health scores and usage data to identify early signs of dissatisfaction or potential churn. Retention Strategies: Develop and implement targeted retention strategies to address customer pain points and improve satisfaction. Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive product adoption and ensure they are leveraging the solution to achieve full business value. Establish trusted relationships with customers, sustaining relationships through the full life cycle of the subscription ensuring their success. Act as an extension of the customer, being a proactive advocate within Vertex and the customer to accomplish defined objectives. Proactively grow the breadth and depth of strategic relationships within assigned customers. Help customers calculate and monetize business value by driving quarterly reporting with customers; measuring business value, penetration, usage, and adoption. Closely manage and nurture accounts to identify and eliminate risk of attrition. Partner with internal stakeholders to align account activities with the customers business case and strategy. Proactively informs customers of features, issues, resolutions that may increase customer value and loyalty. Ensure customers are aware of and educated on new features and releases. Monitor and identify adoption and utilization trends, provide recommendations based on risk and customers business needs. Any Graduation Show more Show less

Skill required: Digital Inside Sales - Inside Sales Designation: Inside Sales Account Rep Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Transforming sales to become a future-ready and digital B2B revenue engine. The team helps assess, design, build and implement best practices on process, organization, and technology to create, execute, and run a collaborative sales and support roles. Provide support for lead/opportunity generation: conduct calls / send emails / connect via social media to generate leads, schedule first meetings for sales/pre-sales, conduct customer surveys, identify participants for events, and bring awareness of the product or offering on behalf of sales/marketing teams. What are we looking for? This position is responsible for driving product adoption, deliver high levels of business value, and cultivate deep customer relationships. This role will be responsible for all aspects of renewals, account management, adoption, customer success planning, and expansion sales. The role drives overall customer satisfaction including reporting and analytics of revenue impact tied to client success, client testimonials, and client references. Bachelor’s Degree Four (4) plus years of customer success, account management, or sales experience in SaaS or similar industry. Two (2) plus years in a customer service-oriented role required. Broad knowledge and experience in Sales and Marketing processes and systems. Experience with Sales and Marketing technology such as Salesforce, etc. Or equivalent combination of education and/or experience Roles and Responsibilities: Customer Relationship Management: Develop and maintain strong, long-lasting relationships with key stakeholders in your customer accounts. Onboarding and Training: Guide new customers through the onboarding process, ensuring they are set up for success and fully understand how to use our products. Churn Risk Identification: Monitor customer health scores and usage data to identify early signs of dissatisfaction or potential churn. Retention Strategies: Develop and implement targeted retention strategies to address customer pain points and improve satisfaction. Develop a trusted advisor relationship with customer stakeholders and executive sponsors to drive product adoption and ensure they are leveraging the solution to achieve full business value. Establish trusted relationships with customers, sustaining relationships through the full life cycle of the subscription ensuring their success. Act as an extension of the customer, being a proactive advocate within Vertex and the customer to accomplish defined objectives. Proactively grow the breadth and depth of strategic relationships within assigned customers. Help customers calculate and monetize business value by driving quarterly reporting with customers; measuring business value, penetration, usage, and adoption. Closely manage and nurture accounts to identify and eliminate risk of attrition. Partner with internal stakeholders to align account activities with the customers business case and strategy. Proactively informs customers of features, issues, resolutions that may increase customer value and loyalty. Ensure customers are aware of and educated on new features and releases. Monitor and identify adoption and utilization trends, provide recommendations based on risk and customers business needs. Any Graduation Show more Show less

Role: Fulltime- Permanent Location: Chennai Hybrid: 2 Days WFO, 3 Days WFH Preferably immediate joiners Key Skills: Strong GCP Cloud experience Proficiency in AI tools used to prepare and automate data pipelines and ingestion Apache Spark, especially with MLlib PySpark and Dask for distributed data processing Pandas and NumPy for local data wrangling Apache Airflow – schedule and orchestrate ETL/ELT jobs Google Cloud (BigQuery, Vertex AI) Python (most popular for AI and data tasks) About us OneMagnify is a global performance marketing company that blends brand strategy, data analytics, and cutting-edge technology to drive measurable business results. With a strong focus on innovation and collaboration, OneMagnify partners with clients to create personalized marketing solutions that enhance customer engagement and deliver real-time impact. The company is also known for its award-winning workplace culture, emphasizing employee growth and inclusion. 🌟 Why Join OneMagnify? Top Workplace: Consistently recognized in the U.S. & India for a great work culture. Cutting-Edge Tech: Work with modern tools like Databricks, Snowflake, Azure, and MLflow. Growth-Focused: Strong career paths, upskilling, and learning opportunities. Global Impact: Collaborate across teams on high-impact, data-driven projects. Great Benefits: Competitive salary, insurance, paid holidays, and more. Meaningful Work: Solve real-world business challenges with innovative solutions. Show more Show less

Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio Your Role And Responsibilities As a managing consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will lead design workshops, support business development activities and mentor and coach team members to develop their skills and knowledge. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your Primary Responsibilities Include Strategic SAP Solution Leadership: Leading the technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Team Delivery leadership: Lead and manage high performing team of SAP consultants to deliver work products on time, budget, and quality. Comprehensive Solution Delivery: Involvement in strategy development and solution implementation, leveraging your functional expertise of SAP with clients and team members and working with the latest technologies Preferred Education Master's Degree Required Technical And Professional Expertise 17+ Years Industry experience of performing necessary SAP configurations, writing detail specifications for development of custom programs, testing, co-ordination of transports to production and post go-live support. Strong hands-on experience of core S/4 HANA Sales and Service processes and functionalities. e.g. Business Partner, Sales Quote/Order processing, Sales Monitoring and Analytics; Claims, Returns and Refunds Management; Contract and Subscriptions; Delivery Processing, Invoice processing, Pricing, aATP, Settlement Management Architecture/Design/Detailing of Processes, designing and supporting integration with other SAP and non-SAP systems, e.g. GTS, BW, WMS, TM, EDI, Vertex etc Experience of minimum 2 end to end SAP S/4 HANA Sales & Service Implementation and core S/4 HANA Sales and Service processes and functionalities.’’ Led testing, data conversion, cutover and post go live, hypercare and Knowledge of business functions like Intercompany Sales, Third Party Sales, Consignments, Service and Maintenance, Advanced Variant configuration, International Trade etc Deep understanding of Business Process integration of SAP Sales and Service with other modules e.g. FI, MM, PP, PS, CO etc Preferred Technical And Professional Experience Knowledge of Fiori Apps from SAP Order to Cash perspective, SAP's implementation methodologies. Should be able to create functional specifications to bridge any gap in the solution design using custom development. For example, enhancements, Interfaces, Reports, data Conversion and Forms. Hands-on experience of designing and supporting integration with other SAP and non-SAP systems, e.g. GTS, BW, WMS, TM, EDI, Vertex etc Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Mumbai, Maharashtra, India . Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience in modernizing legacy applications and applying cloud native development methodologies and tools, including container technology. Experience with software development, code technology migrations programs, code version migrations. Experience in one or more languages/frameworks (e.g., Python, Java, GoLang, JavaScript, Typescript, PyTorch, Jupyter/Colab notebooks). Experience with popular frameworks springboot, Model-View-Controller (MVC) frameworks. Preferred qualifications: Experience in Google Cloud Platform (GCP) and Vertex AI. Experience with modern software development life-cycle methodologies and tools including Integrated Development Environment (IDEs), Continuous Integration/Continuous Deployment (CI/CD), container orchestration and operations. Ability to engage with C-level or executive business leaders and influence decisions. Ability to create prototypes/demos, and articulate this to a customer audience, while integrating with existing systems and processes. Excellent consulting skills, with the ability to deliver technical presentations while leading detailed discovery and planning sessions that are aligned with the customer with defined scope and success criteria. About the job The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will work with technical business teams as a Gemini Code Assist subject matter expert. You will help customers and partners in understanding the power of Gemini code assist, explaining technical differentiators, helping customers deploy the tool in the development eco-system, building use-cases for Artificial Intelligence (AI) assisted software development tooling like legacy code migration, version migration etc., and problem-solving any potential roadblocks and day-to-day software development life-cycle. You will work with customers and product development to shape the future of the Gemini Code Assist.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Work with the team to identify and qualify business opportunities, understanding customer technical objections, and develop the strategy to resolve technical blockers. Support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner with product management to prioritize solutions impacting customer adoption to Google Cloud. Create and deliver technical content (e.g., best practices, tutorials, code samples, presentations) to enable customers and internal teams to leverage Google Cloud Code Assist tool. Travel to customer locations and represent Google Cloud at conferences, meetups, and other industry events to share knowledge, network with peers, and stay current on the trends. 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.