1499 Vertex Jobs - Page 12

Company Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description Role: Financial Reporting Manager Job Location: Full remote Timing: Evening shift which starts 6/7 pm IST to 2/3 am Role type : Independent Contract with no end date (perpetual until either party gives notice to end the contract) Key Responsibilities: Financial Reporting and Analysis Manage the preparation and delivery of accurate monthly, quarterly, and annual financial statements. Provide in-depth analysis and insights into financial results, including variance analysis and key performance metrics. Key Performance Info (KPIs). Data Integrity, Management and SQL Analysis (Financial, Operational) Use SQL to extract, analyze, and interpret financial data Develop and maintain SQL queries to streamline reporting processes and enhance data accuracy. Work with IT and other departments to improve data accessibility and support data integrity. Projects including license management, feature pricing matrix, cost accounting mapping. e continue flow of revenue and cost matching. This includes understanding of billing and collection system (SQL, Riverrock), taxation (Vertex, Suretax, TaxJar), vendor data extraction and analysis (converting data into SQL, Pivot). Advanced Excel Analytics Leverage advanced Excel skills, including complex formulas, pivot tables, to perform detailed financial analysis. Build, maintain, and optimize financial models to support forecasting and budgeting. Automate repetitive reporting tasks using Excel Power Query, and other tools. Business Partnering and Cross-functional Collaboration Provide support/work parallel with revenue assurance function to support data validations of billing close / review credits to customers. Serve as a liaison between finance and other departments to support strategic initiatives and decision-making processes. Process Improvement and Controls Continuously improve financial reporting processes by implementing best practices and identifying automation opportunities. Maintain and strengthen internal controls over financial reporting. Lead or assist in special projects as needed to support the finance department and business objectives. Special Projects from management Review, audit or provide solutions on task assigned related to any issue or reporting Be creative enough to produce original reports and have the ability to develop reports / analysis from scratch. Qualifications Must Have: Respectful approach to get information for other departments. 5+ years of experience in financial reporting, a CPA or CA preferable. 3+ years of experience in SQL data extraction. While expert level is not needed, the understanding of a data dictionary (JOIN clauses) is recommended. Experience in the a) subscription MRC technology, b) telecommunications; Experience in USA/Canada regulatory and taxation. Experience with Microsoft Office, including Word, Excel, Access, and PowerPoint Knowledge of research methods and concepts Ability to work independently to regular cycles. Importantly, that must translate numbers into written reports or oral communications. Education: CA, CPA or MBA (with strong accounting and reporting experience) Experience level: 5-8 years Schedule: Monday to Friday Evening/Night Shift (Indian Time Zone) , Day shift (pacific time zone) Location: Remote Additional Information Apply only if you ok with these mandatory requirements: 1) Evening/night shift 2) The employment will be in a nature of contract role (Independent Contractor) without any end date in contract since you will work independently without being in US payroll.

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in SAP finance at PwC will specialise in providing consulting services for SAP finance applications. You will analyse client requirements, implement software solutions, and offer training and support for seamless integration and utilisation of SAP finance applications. Working in this area, you will enable clients to optimise financial processes, improve financial reporting, and achieve their strategic objectives. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Summary - A career in our Managed Services team will give you an opportunity to collaborate with many teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Application Evolution Services team will provide you with the opportunity to help organizations harness the power of their enterprise applications by optimizing the technology while driving transformation and innovation to increase business performance. We assist our clients in capitalizing on technology improvements, implementing new capabilities, and achieving operational efficiencies by managing and maintaining their application ecosystems. We help our clients maximize the value of their SAP investment by managing the support and continuous transformation of their solutions in the areas of sales, finance, supply chain, engineering, manufacturing and human capital Minimum Degree Required (BQ) *: Bachelor’s Degree Required Field(s) Of Study (BQ) Preferred Field(s) of Study: Minimum Year(s) of Experience (BQ) *: US Minimum Of 6-10 Years Of Experience Preferred Skills/Certification(s) Preferred: SAP Certification in FICO/CFIN Experience in S/4HANA (Public Cloud) Preferred Knowledge As a Senior Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Proactively assist in the management of a portfolio of clients, while reporting to Senior Managers and above. Be involved in the financial metrics. Be actively involved in business development activities to help identify and research opportunities on new/existing clients. Contribute to the development of your own and team’s technical acumen. Use data and insights to inform conclusions and support decision-making. Adherence to SLAs, experience in incident management, change management and problem management. Develop new skills and strategies to solve complex technical challenges. Assist in the management and delivering of large projects. Train, coach, and supervise staff to recognize their strengths and encourage them to take ownership of their personal development. Act to resolve issues which prevent the team working effectively. Keep up to date with local and national business and economic issues. Continue to develop internal relationships and the PwC brand. Build a strong team environment that includes client interactions, workstream management, and cross-team collaboration. Actively engage in cross competency work and contribute to COE activities. Demonstrating project management skills including the ability to manage multiple projects simultaneously while being detail oriented. Technical Skills Responsible for planning and executing SAP Implementation / Development / Support activities regarding SAP Finance and Controlling (FI-CO) along with Central Finance (CFIN). Understand client requirements, provide solutions, functional specifications and configure the system accordingly. Ability to configure SAP FI-CO and CFIN, deliver work products / packages confirming to the Client's Standards & Requirements. Integration of the FI-CO module with other SAP modules and with external applications. Hands on experience in configuring / defining the following in the FICO / CFIN: SAP FI – General Ledger Accounting SAP FI – Accounts Receivable & Accounts Payable SAP FI – Asset Accounting SAP FI – Fixed Assets SAP CO – Cost Centers and Profit Centers SAP CO – Internal Orders SAP CO – Product Costing Master Data – GL, FA, CO, Consolidations Treasury Process – Master Data and Transactions Month End Close – Activities and foreign currency valuations Cost Management and Profitability Analysis – Financial Plan Data Upload File, FP&A, Margin Analysis, Overhead Cost Accounting, Universal Allocation Central Finance -Initial Loads Central Finance - Error Cockpit ICMR -Configuration, Matching Methods, Reconciliation Case, Matching Rules/Matching Expressions TAX – Indirect Tax – Tax Engine Vertex, US Sales and Tax Reporting, Exemption Certificate Management, S4 ProCo Alignment Vertex/Alteryx/SAP S4 VAT: Transactional Tax Determination and Tax Accounting in S4 (Non-US VAT in different countries), Electronic Tax Invoicing using SAP DRC (for India and Mexico) using SAP DRC, Indirect Tax Reporting using SAP DRC (Non-US VAT), SAP Deferred tax transfer program. TAX – Direct Tax – Income TAX Accounting (Provision), Income Tax Compliance, Withholding Tax, Tax Technology / Operations. Transfer Pricing – Intercompany Cost Allocations, Intercompany Services, Cost Sharing, Reporting and Analytics Cash Basis Ledger – Data Transfer, Transaction Posting, Reports Interfaces Works to minimize meetings and ceremonies, but when they are needed, they are well-run and efficient. Encourages a culture of team-driven decision making and commitment. Encourages team trust and facilitates team building events. Where appropriate, coaches the teams to improve collaboration and outcomes (coaching is the primary responsibility of teams’ managers) Qualification Good knowledge of SAP S/4HANA architecture and functionality ITIL 4 Certification Soft Skills Self-driven with a can-do attitude, with an excellent communication and client-facing skills Problem-solving mindset and ability to work in a collaborative environment. Strong relationship builder within the organization and with external partners.

Job Description : Principal AI Architect Employment Type : Full-Time. Relevant Experience : 10+ years Key Responsibilities AI-First Leadership : Define and drive DB Techs AI vision, re-architect systems into AI-native services, integrate tools like Cursor/Relevance AI, and mentor teams in prompt engineering, Vibe Coding, and autonomous testing. Architect Scalable AI Systems : Design enterprise-scale AI/ML platforms that support real-time analytics, model deployment, and continuous learning in financial products and services. Lead Solution Design : Collaborate with data scientists, engineers, and business stakeholders to build and integrate AI models into core platforms (e.g., risk engines, transaction monitoring, robo-advisors). Ensure Governance & Compliance : Implement AI systems that meet financial regulations (e.g., GDPR, PCI-DSS, FFIEC, Basel III) and uphold fairness, explainability, and accountability. Drive MLOps Strategy : Establish and maintain robust pipelines for data ingestion, feature engineering, model training, testing, deployment, and monitoring. Team Leadership : Provide technical leadership to data science and engineering teams. Promote best practices in AI ethics, version control, and reproducibility. Identify areas where AI can deliver business value and lead the development of proofs-of-concept (PoCs). Evaluate the feasibility, cost, and impact of new AI initiatives. Define best practices\standards for model lifecycle management (training, validation, deployment, monitoring) - Evaluate Emerging Technologies : Stay ahead of developments in generative AI, LLMs, and FinTech- specific AI tools, and drive their strategic adoption. Technical Skills And Tools ML & AI Frameworks : Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Hugging Face Transformers, OpenAI APIs (for generative and NLP use cases) MLOps & Deployment MLflow, Kubeflow, Seldon Core, KServe, Weights & Biases FastAPI, gRPC, Docker, Kubernetes, Airflow FinTech-Specific Applications Credit scoring models, Fraud detection algorithms Time series forecasting, NLP for financial documents/chatbots Algorithmic trading models, AML (Anti-Money Laundering) systems Cloud & Data Platforms AWS SageMaker, Azure ML, Google Vertex AI Databricks, Snowflake, Kafka, BigQuery, Delta Lake Monitoring & Explainability SHAP, LIME, Alibi, Evidently AI, Arize AI IBM AIX 360, Fiddler AI Required Qualifications Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field; PhD is a plus. 10+ years of experience in AI/ML, including 35 years in architectural roles within FinTech or other highly regulated industries. Proven track record of building and deploying AI solutions in areas such as fraud detection, credit risk modeling, or portfolio optimization. Strong Hands-on Expertise In Machine Learning : scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch Data Engineering : Spark, Kafka, Airflow, SQL/NoSQL (MongoDB, Neo4j) Cloud & MLOps : AWS, GCP, or Azure; Docker, Kubernetes, MLflow, SageMaker, Vertex AI Programming : Python (primary); Java or Scala (optional) Solid software engineering background with experience integrating ML models into scalable production systems. Excellent communication skills with the ability to influence both technical and non-technical stakeholders. (ref:hirist.tech)

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a highly skilled Data Scientist with deep expertise in machine learning (ML) and deep learning (DL), particularly in deploying solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with Dialogflow CX, Vertex AI, Python, LLMs, and Agentic AI systems, and a strong presence on GitHub showcasing real-world project. Responsibilities: Design, develop, and deploy ML/DL models using Vertex AI, Python, and GCP-native tools. Build and optimize conversational AI agents using Dialogflow CX, integrating with APIs and backend systems. Develop and fine-tune Large Language Models (LLMs) for various NLP tasks, including summarization, classification, and question answering. Implement Agentic AI systems that can autonomously plan, reason, and execute tasks using LLMs and orchestration frameworks. Collaborate with engineering and product teams to translate business needs into scalable AI solutions. Maintain and showcase code and projects on GitHub, ensuring reproducibility and collaboration. Monitor model performance, conduct A/B testing, and iterate based on feedback and metrics. Automate ML workflows using CI/CD pipelines, Docker, Kubernetes, and MLOps best practices. Qualifications 4+ years of professional experience in ML, DL, or applied AI roles. Hands-on expertise in machine learning (ML) and deep learning (DL), with real-world deployment experience on Google Cloud Platform (GCP). Proven experience with Dialogflow CX for building and optimizing conversational AI agents. Proficiency in Python, with strong software engineering practices (modular code, testing, version control). Demonstrated experience deploying and scaling models using Vertex AI and other GCP-native tools. Experience working with Large Language Models (LLMs) for NLP tasks like summarization, classification, and Q&A. Practical knowledge in designing and implementing Agentic AI systems, including autonomous planning, reasoning, and orchestration. Ability to develop API integrations and connect AI agents to backend services. Familiarity with CI/CD pipelines, Docker, and Kubernetes for deploying ML workflows. Strong communication and collaboration skills; ability to work cross-functionally with product and engineering teams. Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field (PhD is a plus). Demonstrated ability to solve business problems using AI with measurable outcomes (e.g., improved customer experience, reduced operational costs). Nice to have: Experience with LangChain, AutoGen, CrewAI, or similar LLM orchestration frameworks. Certification in Google Cloud (e.g., Professional Machine Learning Engineer or Cloud Architect) is preferred. We offer: The Chance to Make an Impact: grow alongside some of the tech industry’s premier talent, with a 99% project success rate delivering for some of the world’s biggest brands. Collaborate on projects that really matter, shaping the future of global industries for some of the biggest names in business. A Work From Anywhere Culture: make the most of the flexibility that comes with fully remote work, within a close-knit, values-driven community. Diversity and Empowerment: thrive in an inclusive and supportive multicultural environment, where differences are celebrated as a key driver of creativity and innovation. Our international culture of diversity gives everyone the chance to make a real difference – in their own way. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility, and internship opportunities. A Better Way of Working: join a company that puts sustainability at the heart of everything it does. Our community is active on a range of sustainability issues, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality and inclusion. Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Company Description Founded in 2001, family owned and operated AireSpring is a leading Provider of Cloud Communications, Managed Connectivity and Managed Security which has earned its stellar reputation by taking service and support to the next level, delivering an award-winning customer experience that far exceeds the industry standards. AireSpring has delivered 20 years of outstanding service to its rapidly rising base of national and global customers, while growing organically and remaining debt free. As the trusted provider to over 22,000 enterprise locations worldwide, our mission is to help our clients connect and communicate easily. We aim to delight our customers and partners by providing personalized, outstanding service. The company has built a solid reputation of integrity, reliability and dependability with its channel partners, end-user customers and technology partners. We have received more than 100 coveted industry awards including "Product of the Year- SD-WAN and UCaaS", "Excellence in Customer Service", "Unified Communications Excellence", "Best in Show," "Best Telecom Deal" and "Top Channel Program". Job Description Role: Financial Reporting Manager Job Location: Full remote Timing: Evening shift which starts 6/7 pm IST to 2/3 am Role type: Independent Contract with no end date (perpetual until either party gives notice to end the contract) Key Responsibilities: Financial Reporting and Analysis Manage the preparation and delivery of accurate monthly, quarterly, and annual financial statements. Provide in-depth analysis and insights into financial results, including variance analysis and key performance metrics. Key Performance Info (KPIs). Data Integrity, Management and SQL Analysis (Financial, Operational) Use SQL to extract, analyze, and interpret financial data Develop and maintain SQL queries to streamline reporting processes and enhance data accuracy. Work with IT and other departments to improve data accessibility and support data integrity. Projects including license management, feature pricing matrix, cost accounting mapping. e continue flow of revenue and cost matching. This includes understanding of billing and collection system (SQL, Riverrock), taxation (Vertex, Suretax, TaxJar), vendor data extraction and analysis (converting data into SQL, Pivot). Advanced Excel Analytics Leverage advanced Excel skills, including complex formulas, pivot tables, to perform detailed financial analysis. Build, maintain, and optimize financial models to support forecasting and budgeting. Automate repetitive reporting tasks using Excel Power Query, and other tools. Business Partnering and Cross-functional Collaboration Provide support/work parallel with revenue assurance function to support data validations of billing close / review credits to customers. Serve as a liaison between finance and other departments to support strategic initiatives and decision-making processes. Process Improvement and Controls Continuously improve financial reporting processes by implementing best practices and identifying automation opportunities. Maintain and strengthen internal controls over financial reporting. Lead or assist in special projects as needed to support the finance department and business objectives. Special Projects from management Review, audit or provide solutions on task assigned related to any issue or reporting Be creative enough to produce original reports and have the ability to develop reports / analysis from scratch. Qualifications Must Have: Respectful approach to get information for other departments. 5+ years of experience in financial reporting, a CPA or CA preferable. 3+ years of experience in SQL data extraction. While expert level is not needed, the understanding of a data dictionary (JOIN clauses) is recommended. Experience in the a) subscription MRC technology, b) telecommunications; Experience in USA/Canada regulatory and taxation. Experience with Microsoft Office, including Word, Excel, Access, and PowerPoint Knowledge of research methods and concepts Ability to work independently to regular cycles. Importantly, that must translate numbers into written reports or oral communications. Education: CA, CPA or MBA (with strong accounting and reporting experience) Experience level: 5-8 years Schedule: Monday to Friday Evening/Night Shift (Indian Time Zone), Day shift (pacific time zone) Location: Remote Additional Information Apply only if you ok with these mandatory requirements: 1) Evening/night shift 2) The employment will be in a nature of contract role (Independent Contractor) without any end date in contract since you will work independently without being in US payroll.

You are a Java expert with 7+ years of experience, proficient in REST APIs, JSON, and back-end technologies like J2EE, JDBC, JMS. You have solid experience in frameworks such as Spring, Spring Batch, Spring Boot, and Vertex. Rich front-end development experience with Angular/React JS, Node.JS, and Material Design is desirable. Additionally, working experience with Kafka, Redis, or NoSQL datastores is a plus. Your hands-on experience includes database technologies like MySQL, DB2, Oracle, and you are strong in understanding and writing both simple and complex SQL queries. You possess a solid grasp of Object-Oriented Programming concepts and design patterns. Experience with Agile development practices, Continuous Integration, and Continuous Delivery is crucial. You are familiar with technologies like GIT, Jenkins, Sonar, JUnit. Strong oral and written communication skills are required, along with proficiency in the entire software development lifecycle including version control, build process, testing, and code release. Your strong interpersonal and analytical skills enable you to excel in a fast-paced, high-performance team environment. Exceptional troubleshooting and multitasking abilities allow you to handle multiple priorities with minimal direction. You must work effectively within a team, contributing to the success of the organization. Mandatory Skills: Fullstack Java Enterprise Experience: 3-5 Years Join Wipro, a leading technology services and consulting company dedicated to helping clients achieve their digital transformation goals. We value constant evolution and reinvention, empowering our employees to design their own career paths. Be part of a purpose-driven organization that encourages personal growth and innovation. Applications from individuals with disabilities are encouraged. Visit www.wipro.com for more information.,

Dear Healthcare Business Development Manager, Vertex Elite is currently seeking qualified Healthcare Business Development Manager(Healthcare BDM) . If you or someone you know is interested, please feel free to reach out for more details or share your updated resume. Job Type : Full time position with Vertex Elite Solutions Pvt Ltd Location : Visakhapatnam, Andhra Pradesh, India With Best Regards, Lova Ramisetti | Email naga.ramisetti@vertexelites.com | www.vertexelites.com

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Specialty Development Senior Location: Chennai Work Type: Hybrid Position Description: We are global IT product team that implements and maintains globally used services for tax decision and reporting. Our products are based on SaaS cloud solutions from specialized vendors like Vertex and Edicom. Our team manages configuration, integration, and implementation of those solutions in the client environment using Informatica Cloud Middleware (IICS) and Python & BASH scripts running on Linux servers and in Google Cloud Platform. We need an experienced senior developer who independently develops software (Informatica Cloud Middleware) and Python / BASH scripts to deliver user stories that contribute to a valuable software product. He/she needs to perform, control and innovatively improve application development, deployment and testing standards for Informatica Cloud Middleware, plan, design and realize Data Integration, Application Integration and BPEL Service concepts in IICS and the Informatica Process Developer tool. We expect experience in software development, execution and evaluation of tests to confirm correct application functionality and to identify and fix software deficiencies Skills Required: ETL.Informatica, SOAP, Extensible Markup Language (XML), Linux, Python, SQL, Communications Skills Preferred: Big Query,, Agile Software Development, GitHub, Tekton, GCP Cloud Run Experience Required: At least 3-year experience in software development and maintenance in Informatica Cloud Middleware (IICS) Multi-year experience in other relevant technologies: Python, Linux, Google Cloud Platform (BigQuery, Cloud Run) Managing many items in parallel efficiently - Advanced communication skills in English (written and oral) Experience working in a global team Experience Required: 3 Years Experience Preferred: Experience with other tools relevant to software development and deployment, e.g. GitHub, Tekton Education Required: Bachelor's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Min Exp - 5-8 years Location - PAN India Engagement & Project Overview An AI model trainer brings specialised knowledge in developing and fine-tuning machine learning models. They can ensure that your models are accurate, efficient, and tailored to your specific needs. Hiring an AI model trainer and tester can significantly enhance our data management and analytics capabilities Job Description Expertise in Model Development: Develop and fine-tune machine learning models. Ensure models are accurate, efficient, and tailored to our specific needs. Quality Assurance: Rigorously evaluate models to identify and rectify errors. Maintain the integrity of our data-driven decisions through high performance and reliability. Efficiency and Scalability: Streamline processes to reduce time-to-market. Scale AI initiatives and ML engineering skills effectively with dedicated model training and testing. Production ML Monitoring & MLOps: Implement and maintain model monitoring pipelines to detect data drift, concept drift, and model performance degradation. Set up alerting and logging systems using tools such as Evidently AI, WhyLabs/Prometheus + Grafana or cloud-native solutions (AWS SageMaker Monitor, GCP Vertex AI, Azure Monitor). Collaborate with teams to integrate monitoring into CI/CD pipelines, using platforms like Kubeflow, MLflow, Airflow, and Neptune.ai. Define and manage automated retraining triggers and model versioning strategies. Ensure observability and traceability across the ML lifecycle in production environments. Qualifications Qualifications: 5+ years of experience in the respective field. Proven experience in developing and fine-tuning machine learning models. Strong background in quality assurance and model testing. Ability to streamline processes and scale AI initiatives. Innovative mindset with a keen understanding of industry trends. License/Certification/Registration

Who We Are: Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects. Role Summary: As a Senior Data Scientist, you’ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap. What You'll Do: Model Development and Innovation : Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application. Optimise model performance, scalability, and interpretability for production systems. MLOps & Deployment Contribute to the deployment of models into production environments using MLOps best practices. Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models. Data & Experimentation Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs. Technology and Tools : Work with large-scale datasets, ensuring data quality and scalability of solutions. Leverage cloud platforms like AWS, GCP for model training and deployment. Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex. Cross-functional Collaboration Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions. Who You Are: Education : Bachelors from Tier 1 premier institute in relevant field, or; Master’s or PhD in Computer Science, Data Science, Mathematics, or a related field. Experience : 4–6 years of hands-on experience in machine learning or data science roles. Proven expertise in machine learning, deep learning, NLP, and recommendation systems. Hands-on experience deploying ML models in production at scale. Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus. Technical Skills : Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Strong understanding of statistical methods, predictive modeling, and algorithm design. Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar). Soft Skills : Strong analytical and problem-solving mindset. Excellent communication skills to articulate data-driven insights. A passion for innovation and staying up-to-date with the latest trends in AI/ML. Why Join Us: Opportunity to work on cutting-edge AI/ML projects impacting millions of users. Be part of a collaborative, innovation-driven team in a fast-growing Martech company. Competitive compensation and growth opportunities in a fast-paced environment. We’d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)

🔑 Key Responsibilities Collaborate with finance, IT, and operations teams to ensure end-to-end U.S. indirect tax compliance. Develop and maintain SOPs, internal controls, and documentation for indirect tax processes. Manage tax determination logic, engine configurations (Avalara, Vertex), and ERP mapping (SAP/Oracle). Oversee compliance for U.S. sales & use tax, property tax, business licenses, and exemption certificates. Handle property tax filings, asset valuations (AVs), bill tracking, and payments. Support tax audits, notices, nexus reviews, and state authority responses. Serve as a subject matter expert on U.S. transaction taxes for internal teams and auditors. Contact Details - 9205999380

Job Title: Data Scientist – Agentic AI | Cloud AI | AR/VR Location: Gurgaon- 5 days WFO Experience: 3 to 5 Years Employment Type: Full-time ⸻ About the Role We’re looking for a hands-on Data Scientist who’s excited by the next frontier of AI — from Agentic AI systems and multi-agent collaboration to cloud-based AI services and immersive experiences in AR/VR. This is your chance to work on cutting-edge innovation across verticals such as retail, healthcare, gaming, and enterprise tech. ⸻ Key Responsibilities • Build, deploy, and optimize AI/ML models with a focus on Agentic AI and multi-agent coordination frameworks (e.g., AutoGen, LangChain, etc.) • Leverage Google Cloud AI and Azure AI Services (Vision AI, Vertex AI, Azure ML) for scalable training, inference, and deployment • Apply Computer Vision techniques for object detection, image classification, and spatial tracking in AR/VR contexts • Collaborate cross-functionally with product, engineering, and design teams to bring AI-driven AR/VR applications to life • Utilize Multi-Cloud Pipelines (MCP) for managing end-to-end workflows in a hybrid cloud setup • Continuously experiment with emerging AI techniques in the realm of generative agents, prompt engineering, and memory-based systems ⸻ Must-Have Skills • 2–5 years of hands-on experience in AI/ML model development and deployment • Strong Python skills with experience in frameworks like TensorFlow, PyTorch, or OpenCV

Job Title:AI/ML Engineer / Data Scientist - with Databricks focus Experience: 8+Years Work type: Remote (India) Key Responsibilities: • Develop, deploy, and maintain scalable MLOps pipelines for both traditional ML and Generative AI use cases leveraging Databricks (Unity Catalog, Delta Tables, Inference Tables, Mosaic AI). • Operationalize large language models (LLMs) and other GenAI models, ensuring efficient prompt engineering, fine-tuning, and serving. • Implement model tracking, versioning, and experiment management using MLflow. • Build robust CI/CD pipelines for ML and GenAI workloads to automate testing, validation, and deployment to production. • Use Vertex AI to manage training, deployment, and monitoring of ML and GenAI models in the cloud. • Integrate high-quality, governed data pipelines that enable ML and Generative AI solutions with strong lineage and reproducibility. • Design and enforce AI Governance frameworks covering model explainability, bias monitoring, data access, compliance, and audit trails. • Collaborate with data scientists and GenAI teams to productionize prototypes and research into reliable, scalable products. • Monitor model performance, usage, and drift — including specific considerations for GenAI systems such as hallucination checks, prompt/response monitoring, and user feedback loops. • Stay current with best practices and emerging trends in MLOps and Generative AI. Key Qualifications: Must Have Skills: • 3+ years of experience in MLOps, ML Engineering, or related field. • Hands-on experience with operationalizing ML and Generative AI models in production. • Proficiency with Databricks (Unity Catalog, Delta Tables, Mosaic AI, Inference Tables). • Experience with MLflow for model tracking, registry, and reproducibility. • Strong understanding of Vertex AI pipelines and deployment services. • Expertise in CI/CD pipelines for ML and GenAI workloads (e.g., GitHub Actions, Azure DevOps, Jenkins). • Proven experience in integrating and managing data pipelines for AI, ensuring data quality, versioning, and lineage. • Solid understanding of AI Governance, model explainability, and responsible AI practices. • Proficiency in Python, SQL, and distributed computing frameworks. • Excellent communication and collaboration skills. Nice to Have: • Experience deploying and monitoring Large Language Models (LLMs) and prompt-driven AI workflows. • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures. • Infrastructure-as-Code experience (Terraform, CloudFormation). • Experience working in regulated industries (e.g., finance, Retail) with compliance-heavy AI use cases.

Organization: L&T Finance Function: Rural Business Finance Loan Analytics Location: Mumbai – Santacruz (Kalina) LTFS is one of the top NBFCs in India and its businesses are highly dependent on Analytics team for Insights, Acquisition, Collections and Lead Generation. For our esteemed Analytics team , we are seeking accomplished professionals with knowledge in modeling and analytics. Sound understanding of Financial Services and statistics. As a Team Manager you will support L&T Finance in its goal of achieving growth by integrating analytics into end-to-end business solutions. By translating data-driven results into business-focused deliverables for decision makers, you would be a part of LTF’s journey as a high-performing Indian NBFC. Candidate should have good understanding of analytics related to Micro Loan, Rural Business Loan, Rural Loan against properties, Gold Loans in rural sector. Candidate should have knowledge about JLG lending in India, market potential and Insights. Candidate should have worked on micro finance lending analytics. Identifying market trends, customer needs, and competitive landscapes to design innovative lending solutions. Developing and executing strategies to drive the expansion of the unsecured lending business in alignment with the company's overall vision and goals. Summary of Responsibilities Analyze large datasets to identify trends, patterns, and correlations related to loan performance (lender association, delinquency, exposure movement etc), customer behavior, and market dynamics. Develop and maintain predictive models to assess credit risk, predict default probabilities, and optimize loan approval & collection processes. Work closely with product development team to design and launch new micro loan products such as Gold Loan, Business Loan, Rural Loan against properties etc., tailored to the needs of our target market. Conduct ad-hoc analyses to support strategic initiatives, such as product development, pricing optimization, and market segmentation Provide insights and recommendations to improve underwriting criteria, loan origination processes and customer targeting strategies. Stay abreast of industry trends, best practices, and regulatory changes impacting rural business lending. Collaborate with IT and data engineering teams to ensure data quality, integrity, and accessibility for analytics purposes. Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity, and stability. Desired Skills and Experience Experience of 3-10 years in R, Python, PL/SQL (Preferably MS SQL Server) Experience in BFSI domain, Indian Banks and NBFCs is a huge advantage. Good understanding of Micro Finance Credit Bureau data. Proficiency in statistics and other tools/languages - R, Python, SAS. Familiarity with relational databases and intermediate level knowledge of SQL. Ability to synthesize unstructured data and find actionable themes/insights using SAS/Python/R. Experience in Google Cloud Platform/ Google BigQuery/Vertex AI are a huge advantage. Strong problem-solving skills. Ability to connect business requirements to data-mining objectives and business benefit. Demonstrated ability in gathering requirements, designs, plans and estimates. Aptitude to learn and ability to think creatively to solve real world business problems. Knowledge in at least one of the following - Logistic regression models, Linear regression models, Stochastic models, Bayesian - Modeling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics will be additional advantage. Why Work with L&T Finance Work for Bharat & INDIA : LTF is present in both Rural and Urban areas with products catering to remote villages and also urban cities, you will get to solve the real-world problem of both India & Bharat which will impact and change the lives of millions of customers. The candidate will not only touch the lives of extremely Rural India but will also have opportunity to shape the financial future of Gen Z. Work on Cutting Edge Tools/Techniques : We are sitting on verge of tech transformation and you will be using R/Python/Google Vertex AI & No/Low code Cloud analytics tool to perform Predictive and Prescriptive Modeling using AI techniques, Machine Learning techniques, Computer Vision, NLP, Text Analytics, Customer Segmentation, Time series analysis to work on areas like Risk Analytics, Fraud Analytics, Credit Analytics, Marketing Analytics etc… Industry Awards : Despite multiple Analytics awards, L&T Finance has been awarded with renowned “Best Firm for Data Scientists 2023” Award by Analytics India Magazine. This underlines the culture, technology hunger and impact of Analytics on Organizational growth. Collaborative & Learning Environment : You will get to work in collaborative and learning focused working environment where you will get the exposure to directly work with business leaders

About Us Attentive.ai is a leading provider of AI-powered automated takeoff software, tailored for the construction and landscaping industries. Our Automeasure software serves landscaping, snow removal, paving maintenance, and facilities maintenance businesses, helping them streamline operations through automation. Our Beam AI (ibeam.ai) product enables construction companies to enhance their estimating processes by automating the tedious task of quantification, driving greater efficiency and accuracy. Trusted by top contractors across the US and Canada, Attentive.ai is proudly supported by renowned investors, including Sequoia Surge, InfoEdge Ventures, and Vertex Ventures. Position Description As an Associate Product Manager for Beam AI, you will be at the forefront of transforming the construction industry through innovative AI-powered solutions. You will work closely with cross-functional teams including engineering, design, sales, and customer success to drive product development and deliver exceptional value to our construction industry customers. This role offers an excellent opportunity to learn and grow in product management while making a significant impact on a rapidly scaling product. Roles & Responsibilities Product Strategy & Roadmap Assist in defining and prioritizing the product roadmap based on customer needs, market trends, and business objectives Conduct market research and competitive analysis to identify opportunities for product improvements and new features Support the development of product requirements documents (PRDs) and user stories Customer & User Research Engage directly with construction industry customers to understand their pain points, workflows, and needs Conduct user interviews, surveys, and analyze usage data to gather insights Synthesize customer feedback into actionable product recommendations Create and maintain customer journey maps and user personas Cross-functional Collaboration Work closely with engineering teams to ensure timely and quality delivery of product features Partner with design teams to create intuitive user experiences that solve real construction industry problems Collaborate with sales and customer success teams to understand market feedback and support go-to-market strategies Coordinate with marketing on product positioning, messaging, and launch activities Data-Driven Decision Making Define and track key product metrics and KPIs to measure product success Analyze product usage data to identify improvement opportunities and validate hypotheses Create reports and presentations to communicate product performance to stakeholders Support A/B testing and experimentation initiatives Product Operations Manage product backlogs and prioritize features based on impact and effort Write clear and detailed user stories with acceptance criteria Participate in sprint planning, reviews, and retrospectives Document product features and maintain internal knowledge bases Industry Expertise Development Develop deep understanding of the construction estimation process and industry challenges Stay updated on construction technology trends and emerging AI capabilities Build relationships with industry experts and thought leaders Requirements & Qualifications Education & Experience Bachelor's and/or Master’s degree in Engineering, Computer Science, Business, Construction Management, or related field 2 years of experience in product management, consulting, or related roles Interest in or exposure to B2B SaaS products is a plus Knowledge of the construction industry or construction technology is advantageous but not required Experience with AI/ML products or platforms will be a big plus Technical Skills Strong analytical and problem-solving abilities with comfort working with data Basic understanding of software development processes and agile methodologies Proficiency in product management tools (JIRA, Confluence, or similar) Experience with data analysis tools (SQL, Excel, Google Analytics) is a plus Familiarity with AI/ML concepts is beneficial Core Competencies Customer Focus: Genuine interest in understanding and solving customer problems Communication: Excellent written and verbal communication skills with ability to present complex ideas clearly Collaboration: Strong interpersonal skills and ability to work effectively in cross-functional teams Analytical Thinking: Data-driven approach to decision making and problem solving Learning Agility: Curiosity and willingness to learn new technologies and industry domains quickly Ownership: Self-motivated with ability to manage multiple projects and meet deadlines Attention to Detail: Meticulous approach to documentation and requirement gathering

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire S/4 HANA FICO Professionals in the following areas : Our SAP Service Line is currently looking for industry-leading seasoned SAP FICO professionals with hands-on experience in S/4 HANA FI and CO. The shortlisted candidate should have the ability to analyze technical needs and work with the customers to develop project scope of work documents and Project Plans. S4 HANA-Financial accounting and Controlling General Ledger Accounting Accounts Payable and Accounts receivables APP, MBC (Multi bank connector) for Payment process. Good working knowledge on DMEE, Lock Box, EBS and banking related transaction FI-SD , FI-MM,FI-PP Integration should be able to do functional Testing and test script preparation Intercompany sales process and related taxes Taxes - Input Taxes , Output Taxes Good Working Knowledge on Vertex and Europe Taxation Good Working Knowledge in Fixed Assets, Investment Management Working knowledge on Project Systems , Integration of PS with Fixed assets Cost Center , Internal Order Working knowledge on Product Costing Working Knowledge on COPA Working knowledge on Fiori apps Able to work with technical team and hands on experience on FS preparation. Vendor invoice management process knowledge At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Description Amazon is seeking a Tax Manger to join its Federal Tax Compliance and Reporting team. The Amazon tax department is a fast-paced, team-focused, and dynamic environment. This position will focus on Amazon’s foreign tax compliance and reporting obligations including preparation of federal income tax filings of Amazon’s worldwide . Amazon is seeking a Tax Manger to join its Withholding Tax team in our Hyderabad, India office. As a member of the Withholding Tax team, the Tax Manger will own the end-to-end withholding compliance processes for multiple countries. The Tax Manger will support the global tax, business and other stakeholder teams on various projects and deliverables. A highly organized self-starter with excellent communication and time management skills will be successful on this team. Key job responsibilities Advise and support on withholding tax considerations for new countries, projects and business lines. Manage withholding tax compliance including Identity Collection and lifecycle maintenance. Manage systems for regular review of financial activity for withholding tax assessment Manage, research and deliver on customer requests for tax documents and withholding tax queries Assist with tax controversy efforts by gathering and organizing supporting documentation of withholding tax positions and filings Exposure in US withholding tax and 1099 & 1042S tax filings or other global reporting will be a plus point. Prepare materials needed for yearly tax filings and tax audit requirements. Support automation and tech initiatives for withholding tax A day in the life A successful candidate will have excellent organizational and communication skills; a attention to detail; and the ability to employ technology tools to streamline large amounts of data for tax reporting. Should have ability to prioritize multiple tasks with teammates around the globe in a deadline-driven, dynamic environment, and will be self-motivated to build cross functional process improvements. About The Team The Amazon Tax Department is a fast-paced, team-focused, dynamic environment. The mission of Global Withholding team is to timely, accurately, and efficiently report taxes to tax authorities globally. Basic Qualifications 4+ years of tax, finance or a related analytical field experience Knowledge of Microsoft Office products and applications at an advanced level Experience working in a large public accounting firm or multi-national corporate tax department Preferred Qualifications 3+ years of maintaining and operating transaction tax calculation software (e.g. Vertex) experience Experience with VBA, Python, SQL, or other database language Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3018868

Job Description: About ETS: ETS is a global education and talent solutions organization enabling lifelong learners worldwide to be future-ready. For more than 75 years, we've been advancing the science of measurement to build benchmarks for fair and valid skill assessment across cultures and borders. Our worldwide impact extends through our renowned assessments including TOEFL®, TOEIC®, GRE® and Praxis® tests, serving millions of learners in more than 200 countries and territories. Through strategic acquisitions, we've expanded our global capabilities: PSI strengthens our workforce assessment solutions, while Edusoft, Kira Talent, Pipplet, Vericant, and Wheebox enhance our educational technology and assessment platforms across critical markets worldwide. Through ETS Research Institute and ETS Solutions, we're partnering with educational institutions, governments, and organizations globally to promote skill proficiency, empower upward mobility, and unlock opportunities for everyone, everywhere. With offices and partners across Asia, Europe, the Middle East, Africa, and the Americas, we deliver nearly 50 million tests annually. Join us in our journey of measuring progress to power human progress worldwide. POSITION SUMMARY (the reasons the position exists; a summary of what the is position is responsible for): Support The Global Tax Technology & Compliance Manager to enable efficient, accurate, and sustainable tax reporting and compliance activities including but not limited to preparing and filing indirect and direct tax returns and schedules in support of keeping the business compliant with the relevant tax regulations and and financial statement reporting requirements. The role will also consult with the SBU and Corporate finance, Treasury, as well as external auditors. This position reports Tax Technology & Compliance Manager - India. PRIMARY RESPONSIBILITIES (indicate 5-10 key responsibilities/tasks that effectively describe the position; List from most important to least important): Compliance Prepare sound compliance reporting packages including but not limited to all required workpapers and tax forms to ensure timely filing and remittance of all statutory compliance (indirect and direct tax purposes) tax returns for all ETS legal entities . Rigorously monitor your day-to-day tasks and collaborate with colleagues across different locations (EMEA and U.S.) to track and communicate to senior tax leadership any findings impacting the Enterprise. Support data gathering and storage of all information requests from Revenue authorities and aid in provision of information to ETS’ external tax advisors. Assist ETS Global Tax Team with preparation of the consolidated income tax provision and related financial statement disclosures. Expand your knowledge of indirect and direct tax compliance and get involved in activities that will shape your career and allow you to grow as a tax professional. Support special compliance and reporting projects as needed. Technology Support maintenance and communications of the Corporate Instance of Vertex O Series Tax Determination Engine and associated transactional ERP platforms and infrastructure Become a power user of the global Vertex O Series Support functional design and infrastructure upgrades of Vertex O Series and accelerators Support root cause analysis and solutioning in support of tax operations and deliver organizations incident reporting for Vertex O Series Support special projects and automation opportunities Adhere to ethical standards and comply with the laws and regulations applicable to your job function. #LI-AP1 Experience and Skills: KNOWLEDGE/SKILLS: Digital Awareness to Drive Process Improvements Ability To Collaborate Effectively Fluency in English Problem solving and analytical skills Initiative-taker EDUCATION AND EXPERIENCE - (technical knowledge, skills and abilities an employee needs to successfully perform the position level; please distinguish between “required” and “preferred”): B.S. Degree of Accounting or Finance Chartered Accountant or MST preferred Entry level position Strong Technology Skills Required (Excel) ETS is mission driven and action oriented We are passionate about hiring innovative thinkers who believe in the promise of education and lifelong learning. We are energized by cultivating growth, innovation, and continuous transformation for the next generation of rising professionals as leaders. Â In support of this ETS offers multiple Business Resource Groups (BRG) for you to learn and advance your career growth! As a not-for-profit organization we will encourage you to lean in to your passion for volunteering. Â At ETS you may qualify for up to an additional 8 hours of PTO for volunteer work on causes that are important to you! ETS is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or any other characteristic protected by law. We believe in creating a work environment where all individuals are treated with respect and dignity. From: ETS GCC

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-6 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Doctor of Philosophy, Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Chatbots, Data Structures, Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Job Title: Peon Location: Db vertex technologies Chhawni, Indore Job Type: Full-time Job Responsibilities: Handling office cleaning and maintenance Assisting in document filing and movement Serving tea, coffee, and refreshments Running office errands as needed Helping staff with basic tasks Ensuring a clean and organized workspace Requirements: Hardworking and punctual Honest and responsible Ability to follow instructions Benefits: Fixed salary Friendly work environment Other perks as per company policy If you meet the above requirements and are ready to start your career in a dynamic role, we encourage you to apply! Job Type: Full-time, Fresher Pay: ₹7,000.00 - ₹10,000.00 per month Schedule: Day shift Ability to commute/relocate: Chhawni, Indore, Madhya Pradesh: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person Job Types: Full-time, Fresher Pay: ₹7,000.00 - ₹10,000.00 per month Schedule: Day shift Work Location: In person Job Types: Permanent, Fresher Pay: ₹7,000.00 - ₹10,000.00 per month Work Location: In person

Job description Snapmint is on a mission of democratizing no/low-cost installment purchases for the next 200 Mn Indians. Of the 300 million credit-eligible consumers in India, less than 30 million actively use credit cards. Snapmint is reinventing credit for the next 200M consumers by providing them the freedom to buy what they want and pay for them in installments without a credit card. In a short period of time, Snapmint has reached over a million consumers in 2200 cities and has powered over 200 crores worth of purchases. Minimum 1 year of experience in Email/Chat/In-call and Outbound calling process in any BPO, e-commerce, fintech, and any customer experience organization. For Email/chat – Typing speed must be in btw 30-35 wpm. Proven customer support experience or experience as a Client Service Representative. Qualified candidates will be comfortable in a multi-tasking, high-energy environment. They will be creative and analytical problem solvers with a passion for excellent customer service. Strong phone contact handling skills and active listening. Maintain regular and reliable attendance, including the daily schedule as assigned. Graduation and above (12th pass only in exceptional cases). Excellent verbal/written communication skills and basic computer knowledge. Age should be a maximum of 28. Work from the office and 6 days working (roster off). Near Tonk Road, Dev Nagar (Maximum travel distance should be 10-12 km). Tamil, Telugu and Malayam language is a plus. Candidate who have experience from Teleperformance, vertex cosmos, Girnar, Dealshare, Innovana Thinklabs, Dr ITM will be a plus Job Types: Full-time, Permanent Pay: ₹12,000.00 - ₹22,000.00 per month Benefits: Health insurance Life insurance Paid sick time Provident Fund Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 22/07/2025

Role Description Role Proficiency: Leverage expertise in a technology area (e.g. Infromatica Transformation Terradata data warehouse Hadoop Analytics) Responsible for Architecture for a small/mid-size projects. Outcomes Implement either data extract and transformation a data warehouse (ETL Data Extracts Data Load Logic Mapping Work Flows stored procedures data warehouse) data analysis solution data reporting solutions or cloud data tools in any one of the cloud providers(AWS/AZURE/GCP) Understand business workflows and related data flows. Develop design for data acquisitions and data transformation or data modelling; applying business intelligence on data or design data fetching and dashboards Design information structure work-and dataflow navigation. Define backup recovery and security specifications Enforce and maintain naming standards and data dictionary for data models Provide or guide team to perform estimates Help team to develop proof of concepts (POC) and solution relevant to customer problems. Able to trouble shoot problems while developing POCs Architect/Big Data Speciality Certification in (AWS/AZURE/GCP/General for example Coursera or similar learning platform/Any ML) Measures Of Outcomes Percentage of billable time spent in a year for developing and implementing data transformation or data storage Number of best practices documented in any new tool and technology emerging in the market Number of associates trained on the data service practice Outputs Expected Strategy & Planning: Create or contribute short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Implement methods and procedures for tracking data quality completeness redundancy and improvement Ensure that data strategies and architectures meet regulatory compliance requirements Begin engaging external stakeholders including standards organizations regulatory bodies operators and scientific research communities or attend conferences with respect to data in cloud Operational Management Help Architects to establish governance stewardship and frameworks for managing data across the organization Provide support in implementing the appropriate tools software applications and systems to support data technology goals Collaborate with project managers and business teams for all projects involving enterprise data Analyse data-related issues with systems integration compatibility and multi-platform integration Project Control And Review Provide advice to teams facing complex technical issues in the course of project delivery Define and measure project and program specific architectural and technology quality metrics Knowledge Management & Capability Development Publish and maintain a repository of solutions best practices and standards and other knowledge articles for data management Conduct and facilitate knowledge sharing and learning sessions across the team Gain industry standard certifications on technology or area of expertise Support technical skill building (including hiring and training) for the team based on inputs from project manager /RTE’s Mentor new members in the team in technical areas Gain and cultivate domain expertise to provide best and optimized solution to customer (delivery) Requirement Gathering And Analysis Work with customer business owners and other teams to collect analyze and understand the requirements including NFRs/define NFRs Analyze gaps/ trade-offs based on current system context and industry practices; clarify the requirements by working with the customer Define the systems and sub-systems that define the programs People Management Set goals and manage performance of team engineers Provide career guidance to technical specialists and mentor them Alliance Management Identify alliance partners based on the understanding of service offerings and client requirements In collaboration with Architect create a compelling business case around the offerings Conduct beta testing of the offerings and relevance to program Technology Consulting In collaboration with Architects II and III analyze the application and technology landscapers process and tolls to arrive at the architecture options best fit for the client program Analyze Cost Vs Benefits of solution options Support Architects II and III to create a technology/ architecture roadmap for the client Define Architecture strategy for the program Innovation And Thought Leadership Participate in internal and external forums (seminars paper presentation etc) Understand clients existing business at the program level and explore new avenues to save cost and bring process efficiency Identify business opportunities to create reusable components/accelerators and reuse existing components and best practices Project Management Support Assist the PM/Scrum Master/Program Manager to identify technical risks and come-up with mitigation strategies Stakeholder Management Monitor the concerns of internal stakeholders like Product Managers & RTE’s and external stakeholders like client architects on Architecture aspects. Follow through on commitments to achieve timely resolution of issues Conduct initiatives to meet client expectations Work to expand professional network in the client organization at team and program levels New Service Design Identify potential opportunities for new service offerings based on customer voice/ partner inputs Conduct beta testing / POC as applicable Develop collaterals guides for GTM Skill Examples Use data services knowledge creating POC to meet a business requirements; contextualize the solution to the industry under guidance of Architects Use technology knowledge to create Proof of Concept (POC) / (reusable) assets under the guidance of the specialist. Apply best practices in own area of work helping with performance troubleshooting and other complex troubleshooting. Define decide and defend the technology choices made review solution under guidance Use knowledge of technology t rends to provide inputs on potential areas of opportunity for UST Use independent knowledge of Design Patterns Tools and Principles to create high level design for the given requirements. Evaluate multiple design options and choose the appropriate options for best possible trade-offs. Conduct knowledge sessions to enhance team's design capabilities. Review the low and high level design created by Specialists for efficiency (consumption of hardware memory and memory leaks etc.) Use knowledge of Software Development Process Tools & Techniques to identify and assess incremental improvements for software development process methodology and tools. Take technical responsibility for all stages in the software development process. Conduct optimal coding with clear understanding of memory leakage and related impact. Implement global standards and guidelines relevant to programming and development come up with 'points of view' and new technological ideas Use knowledge of Project Management & Agile Tools and Techniques to support plan and manage medium size projects/programs as defined within UST; identifying risks and mitigation strategies Use knowledge of Project Metrics to understand relevance in project. Collect and collate project metrics and share with the relevant stakeholders Use knowledge of Estimation and Resource Planning to create estimate and plan resources for specific modules or small projects with detailed requirements or user stories in place Strong proficiencies in understanding data workflows and dataflow Attention to details High analytical capabilities Knowledge Examples Data visualization Data migration RDMSs (relational database management systems SQL Hadoop technologies like MapReduce Hive and Pig. Programming languages especially Python and Java Operating systems like UNIX and MS Windows. Backup/archival software. Additional Comments AI Architect Role Summary: Hands-on AI Architect with strong expertise in Deep Learning, Generative AI, and real-world AI/ML systems. The role involves leading the architecture, development, and deployment of AI agent-based solutions, supporting initiatives such as intelligent automation, anomaly detection, and GenAI-powered assistants across enterprise operations and engineering. This is a hands-on role ideal for someone who thrives in fast-paced environments, is passionate about AI innovations, and can adapt across multiple opportunities based on business priorities. Key Responsibilities: Design and architect AI-based solutions including multi-agent GenAI systems using LLMs and RAG pipelines. Build POCs, prototypes, and production-grade AI components for operations, support automation, and intelligent assistants. Lead end-to-end development of AI agents for use cases such as triage, RCA automation, and predictive analytics. Leverage GenAI (LLMs) and Time Series models to drive intelligent observability and performance management. Work closely with product, engineering, and operations teams to align solutions with domain and customer needs. Own model lifecycle from experimentation to deployment using modern MLOps and LLMOps practices. Ensure scalable, secure, and cost-efficient implementation across AWS and Azure cloud environments. Key Skills & Technology Areas: AI/ML Expertise: 8+ years in AI/ML, with hands-on experience in deep learning, model deployment, and GenAI. LLMs & Frameworks: GPT-3+, Claude, LLAMA3, LangChain, LangGraph, Transformers (BERT, T5), RAG pipelines, LLMOps. Programming: Python (advanced), Keras, PyTorch, Pandas, FastAPI, Celery (for agent orchestration), Redis. Modeling & Analytics: Time Series Forecasting, Predictive Modeling, Synthetic Data Generation. Data & Storage: ChromaDB, Pinecone, FAISS, DynamoDB, PostgreSQL, Azure Synapse, Azure Data Factory. Cloud & Tools: o AWS (Bedrock, SageMaker, Lambda), o Azure (Azure ML, Azure Databricks, Synapse), o GCP (Vertex AI – optional) Observability Integration: Splunk, ELK Stack, Prometheus. DevOps/MLOps: Docker, GitHub Actions, Kubernetes, CI/CD pipelines, model monitoring & versioning. Architectural Patterns: Microservices, Event-Driven Architecture, Multi-Agent Systems, API-first Design. Other Requirements: Proven ability to work independently and collaboratively in agile, innovation-driven teams. Strong problem-solving mindset and product-oriented thinking. Excellent communication and technical storytelling skills. Flexibility to work across multiple opportunities based on business priorities. Experience in Telecom, E- Commerce, or Enterprise IT Operations is a plus. ________________________________________ ________________________________________ ________________________________________ Skills python,pandas,AIML,GENAI

Location: Remote Experience: 8+ years Employment Type: Contractual (full-time) Industry: IT / Software Development Job Overview: We are seeking a highly skilled and experienced Senior Python Developer to join our dynamic team focused on delivering advanced AI and Cloud-based solutions . The ideal candidate will have a strong foundation in Python development and hands-on experience with modern backend and cloud technologies. This role involves designing, developing, and deploying intelligent, scalable systems and working on real-world applications involving AI services and cloud infrastructure. Key Responsibilities: Design, develop, test, and maintain robust and scalable backend applications using Python . Work with frameworks such as Flask , and technologies like PostgreSQL , Redis, and GCP . Collaborate on the design and deployment of AI solutions using Vertex AI and integration with tools such as Gemini API . Participate in the design and architecture of large-scale systems. Analyze and resolve complex technical issues independently. Collaborate with cross-functional teams to define, design, and deliver new features. Required Skills & Qualifications: Bachelor’s Degree in Computer Science or a related field, or equivalent industry experience. 8+ years of programming experience, with strong proficiency in Python. Solid experience with Flask and relational databases like PostgreSQL. Experience with AI/ML services, including Vertex AI, Gemini API, or similar tools is highly desirable. Proven experience in designing and implementing large-scale information systems. Job Type: Contractual Work Location: Remote

Location: Bengaluru (Hybrid) Role Summary We’re seeking a skilled Data Scientist with deep expertise in recommender systems to design and deploy scalable personalization solutions. This role blends research, experimentation, and production-level implementation, with a focus on content-based and multi-modal recommendations using deep learning and cloud-native tools. Responsibilities Research, prototype, and implement recommendation models: two-tower, multi-tower, cross-encoder architectures Utilize text/image embeddings (CLIP, ViT, BERT) for content-based retrieval and matching Conduct semantic similarity analysis and deploy vector-based retrieval systems (FAISS, Qdrant, ScaNN) Perform large-scale data prep and feature engineering with Spark/PySpark and Dataproc Build ML pipelines using Vertex AI, Kubeflow, and orchestration on GKE Evaluate models using recommender metrics (nDCG, Recall@K, HitRate, MAP) and offline frameworks Drive model performance through A/B testing and real-time serving via Cloud Run or Vertex AI Address cold-start challenges with metadata and multi-modal input Collaborate with engineering for CI/CD, monitoring, and embedding lifecycle management Stay current with trends in LLM-powered ranking, hybrid retrieval, and personalization Required Skills Python proficiency with pandas, polars, numpy, scikit-learn, TensorFlow, PyTorch, transformers Hands-on experience with deep learning frameworks for recommender systems Solid grounding in embedding retrieval strategies and approximate nearest neighbor search GCP-native workflows: Vertex AI, Dataproc, Dataflow, Pub/Sub, Cloud Functions, Cloud Run Strong foundation in semantic search, user modeling, and personalization techniques Familiarity with MLOps best practices—CI/CD, infrastructure automation, monitoring Experience deploying models in production using containerized environments and Kubernetes Nice to Have Ranking models knowledge: DLRM, XGBoost, LightGBM Multi-modal retrieval experience (text + image + tabular features) Exposure to LLM-powered personalization or hybrid recommendation systems Understanding of real-time model updates and streaming ingestion

Role - Java Backend Developer Experience - 3-6 yrs Location - Bangalore ● Bachelors/Masters in Computer science from a reputed institute/university ● 3-7 years of strong experience in building Java/golang/python based server side solutions ● Strong in data structure, algorithm and software design ● Experience in designing and building RESTful micro services ● Experience with Server side frameworks such as JPA (HIbernate/SpringData), Spring, vertex, Springboot, Redis, Kafka, Lucene/Solr/ElasticSearch etc. ● Experience in data modeling and design, database query tuning ● Experience in MySQL and strong understanding of relational databases. ● Comfortable with agile, iterative development practices ● Excellent communication (verbal & written), interpersonal and leadership skills ● Previous experience as part of a Start-up or a Product company. ● Experience with AWS technologies would be a plus ● Experience with reactive programming frameworks would be a plus · Contributions to opensource are a plus ● Familiarity with deployment architecture principles and prior experience with container orchestration platforms, particularly Kubernetes, would be a significant advantage