Dear Candidate, Greetings from A2Z HR Consultants Base Job Location: Gurgaon Shift timings: Dubai Time Zone (General Shifts) Number of working days: 5 Mode of Work: Remote Salary range: Upto 25 LPA fixed Role: Digital Analytics Job Description: We are seeking an experienced and detail-oriented App Analytics Implementation Specialist to join our team. The ideal candidate will be responsible for ensuring the accuracy and effectiveness of analytics implementations for mobile applications. This includes performing quality assurance (QA) on Firebase Analytics app events, Adjust SDK integration, and GA4 reporting. You will work closely with cross-functional teams to ensure data integrity, validate event tracking, and support reporting initiatives. Responsibilities: Firebase Analytics App Events QA: Test and verify the integration of Firebase Analytics within mobile applications. Ensure proper tracking of app events, including user interactions, sessions, and in-app behavior. Collect Firebase Analytics logs from Android Studio logcat and Xcode from build branches shared by developers. Validate each event and its associated parameters to ensure data accuracy and completeness. Perform troubleshooting and ensure accurate event data collection for reporting. Work with developers and product teams to resolve discrepancies and ensure correct event firing across all devices. Adjust Implementation QA: Conduct thorough QA for Adjust SDK implementation across mobile platforms (iOS, Android). Verify and test in-app events, user attribution, and campaign tracking in Adjust. Perform troubleshooting of Adjust integrations and resolve any tracking issues. Collaborate with marketing and analytics teams to ensure proper attribution data collection for advertising campaigns. GA4 Reporting QA: Test Google Analytics 4 (GA4) setup and ensure accurate tracking of web/app data. Perform validation of GA4 custom events, eCommerce tracking, and user properties. Clear understanding of GA4 user properties, items parameters, and event parameters. Ensure that the tracking aligns with reporting requirements and provides accurate, actionable data. Collaborate with stakeholders to define reporting requirements and ensure GA4 dashboards are accurate. Troubleshoot and resolve data discrepancies in GA4 and ensure proper reporting of app metrics. Data Layer Creation: Create and maintain a data layer for app analytics based on new designs and requirements from the UX team. Ensure tracking of each call-to-action (CTA) and eCommerce event in detail, aligning the data layer with the product and user experience goals. Collaborate with UX, product, and development teams to ensure that tracking reflects the latest app design changes and meets analytics needs. Data Validation: Ensure analytics QA with high accuracy to maintain parity across all platforms Android, iOS, and Web . Perform data validation across GA4, Adjust, and internal databases to ensure consistency and accuracy across all analytics tools. Ensure proper alignment of event data and user interactions between platforms to guarantee reliable cross-platform analytics. MarTech Tools and Marketing Analytics: Knowledge of MarTech tools integrations and marketing analytics to support campaign tracking and reporting. Collaborate with marketing teams to ensure accurate data flow from external platforms (e.g., advertising networks, Braze CRM, Meta, Tiktok, Criteo, TradeDesk) into the analytics tools. Collaboration & Communication: Work closely with the development, marketing, and analytics teams to ensure alignment on tracking needs. Participate in sprint planning and help define test cases for tracking events and KPIs. Provide insights and recommendations to improve tracking efficiency and accuracy. Document QA test cases, issues, and resolutions effectively. Required Skills & Qualifications: Proven experience with Firebase Analytics and mobile app event tracking. Experience collecting Firebase Analytics logs from Android Studio logcat and Xcode from build branches and validating events and their parameters. Strong knowledge of Adjust SDK implementation and troubleshooting. Hands-on experience with Google Analytics 4 (GA4) and generating custom reports. Clear understanding of GA4 user properties, items parameters, and event parameters . Experience creating and maintaining a data layer for app analytics based on UX team designs and new app features. Strong expertise in analytics QA across multiple platforms (Android, iOS, Web) to ensure parity and consistency of data. Data validation experience across GA4, Adjust, and Big Query to ensure cross-platform consistency and accuracy. Knowledge of MarTech tools integrations and marketing analytics to support cross-channel attribution. Familiarity with mobile analytics platforms and performance metrics. Detail-oriented with strong QA skills, including creating test cases, performing tests, and documenting results. Ability to interpret data, identify trends, and communicate findings clearly. Strong problem-solving skills and the ability to troubleshoot analytics-related issues. Solid understanding of data flow between different platforms (Firebase, Adjust, GA4, etc.). Excellent communication and collaboration skills. Preferred Skills: Experience with Google Tag Manager (GTM) for mobile and web. Familiarity with BigQuery for advanced reporting and querying. Educational Requirements: Bachelors degree in Computer Science, Information Technology, Marketing, or a related field, or equivalent work experience. Interested candidates can share their CV at 9711831492 or gaurav.a2zhrconsultants@gmail.com Regards Gaurav Kumar A2Z HR Consultants

Dear Candidates Greetings from A2Z HR Consultants !!!!!!!! We are hiring for one of the renowned BPO in Gurgaon Number of working days: 5 Shift Timings: Night Shifts (US Time Zone) Cab Facility: Both Side Salary: upto 45K monthly Process: Debt Settlement on Credit Card Campaign: Outbound **** Work from Office only Summary: A debt settlement role involves assisting clients in negotiating and resolving unsecured debts, such as credit card balances, by facilitating agreements with creditors to accept reduced payments. This position requires a combination of customer service, financial analysis, and negotiation skills. Debt Settlement Specialist U.S. Process Key Responsibilities: Engage with clients to assess their financial situations and determine eligibility for debt settlement programs. Negotiate with creditors to settle debts for less than the full amount owed. Educate clients on the debt settlement process, including potential risks and benefits. Maintain accurate records of client interactions and settlement agreements. Ensure compliance with industry regulations and company policies. Qualifications: High school diploma or equivalent; a bachelor's degree in finance or a related field is advantageous. Strong communication and interpersonal skills. Experience in customer service, sales, or financial services is preferred. Proficiency in CRM software and Microsoft Office Suite. Ability to handle confidential information with discretion. Interested candidates can share their resume at shahrukh.a2zhrconsultants@gmail.com or send on whats app at 7291989543 Regards Shahrukh Sheikh A2Z HR Consultants 7291989543

Dear Candidate Greetings from A2Z HR Consultants !!!!!!!! We are hiring for one of the renowned Web Software company based in Noida Number of working days: 5 Shift Timings: Day Shifts Salary: upto 32 LPA Profile: AI/ ML Engineer Experience Required: Min 5 Years **** Work from Office only Job Summary: Join our forward-thinking team to pioneer cutting-edge AI solutions that transform industries. We seek an AI Expert with 5+ years of experience in Python, machine learning, and large language models (LLMs), paired with robust MLOps expertise. You will architect, optimize, and deploy scalable AI systems, focusing on LLM fine-tuning (e.g., Llama, GPT, Mistral), Retrieval-Augmented Generation (RAG), and production-grade deployment on AWS . If you thrive on solving complex challenges, driving ethical AI innovation, and leading cross-functional teams, this role is for you. Key Responsibilities: Design, develop, and deploy AI/ML models using Python and relevant frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Optimize and fine-tune machine learning algorithms for performance, scalability, and accuracy. Work with large datasets to extract insights, preprocess data, and build predictive models. Develop and integrate AI-powered solutions into applications, including natural language processing (NLP), computer vision, and deep learning systems. Architect, fine-tune, and deploy large language models (LLMs) for various use cases such as chatbots, text generation, summarization, and document understanding. Implement retrieval-augmented generation (RAG) techniques to enhance LLM capabilities. Research and apply model compression techniques such as quantization and distillation to optimize LLM deployment. Leverage embeddings, knowledge graphs, and vector databases for efficient information retrieval and AI-driven insights. Develop robust MLOps/LLMOps pipelines for model versioning, monitoring, and CI/CD integration. Deploy AI models in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML) and optimize inference cost-performance trade-offs. Utilize containerization and orchestration tools such as Docker, Kubernetes, and Kubeflow for scalable AI deployments. Stay updated on the latest AI advancements and integrate emerging technologies into production systems. Ensure AI model interpretability, fairness, and adherence to ethical AI principles. Participate in code reviews, debugging, and troubleshooting of AI models and pipelines. Required Qualifications & Skills: Education: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: 5+ years of hands-on experience in AI, machine learning, or deep learning projects. Programming: Strong proficiency in Python and its AI/ML libraries (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn, etc.). LLM Expertise: Hands-on experience with LLMs such as OpenAIs GPT, Llama, Mistral, Gemini, PaLM, or similar frameworks. Fine-Tuning & Optimization: Experience fine-tuning LLMs, optimizing for cost-performance balance, and utilizing techniques like LoRA, PEFT, and RLHF. NLP & Deep Learning: Expertise in NLP model training, transformer-based architectures (BERT, T5, GPT, etc.), and model evaluation techniques. MLOps & LLMOps: Experience with model lifecycle management, monitoring, CI/CD pipelines, and cloud-based model deployment. Cloud & Deployment: Proficiency in deploying AI models on Google Cloud (Vertex AI), AWS, or Azure. Containerization & Orchestration: Experience with Docker, Kubernetes, and Kubeflow for AI model deployment. Data Engineering: Knowledge of data preprocessing, feature engineering, and handling large-scale datasets efficiently. Prompt Engineering: Strong understanding of prompt design, embedding generation, and model evaluation metrics for LLMs. Security & Ethics: Familiarity with AI security best practices, data privacy, and responsible AI principles. Interested candidates can reach out at 9711831492 or share your resume at gaurav.a2zhrconsultants@gmail.com Candidates who are already on Notice period or immediately available shall apply only. Regards Gaurav Kumar A2Z HR Consultants 9711831492

Dear Candidate Greetings from A2Z HR Consultants !!!! About the Company: Our client is one of the best IT SaaS- based industries in the Global Market. Designation: Customer Success Account Manager Role: Individual Contributor Job Location: Noida (Hybrid/ WFH) Shift Timings: 6 PM - 3 AM Number of days working: 5 (Sat & Sun is fixed off) Experience Required: 5 - 10 Years Salary: Upto 23 LPA (70% Fixed & 30% Variable) + Incentives *** Variable comes quarterly Job Description: The Challenge: We are looking for Digital Sellers who would be responsible for a defined patch of Adobes SMB customers and the role is pivoted around upselling and cross-selling Adobe Cloud-based Solutions. You would be responsible for the Digital Media portfolio of Adobe. The incumbent would be responsible for helping the customer adopt the solution with ease, optimizing their product experience, and guiding them to internal support teams if need be. What you'll do as a CSAM Develop an understanding of Adobe's Digital Media line of products and lead value-led conversations with customers for these solutions. Create a value-based relationship with new & existing North American Adobe SMB customers. • Drive Upsell & Cross-sell by prioritizing accounts with the highest propensity to buy by clearly defining the ideal customer profile and contacting them via phone & emails. Execute Marketing Qualified Leads with a defined SLA to Maximize Revenue. Research customer contracts and purchasing history in Adobe's various customer management systems & external sources such as LinkedIn, ZoomInfo, etc. to figure out the expansion opportunity in an account Managing the opportunity pipeline from week to week, providing accurate and timely updates to management on progress and outlook. Collaborate with Solution Specialists to maximize the footprint of growing Adobe Solution streams like Adobe Sign, Substance, Stock, Frame.io, etc. Engage as required, with the supporting functional teams to resolve issues raised by customers related to their Creative Cloud Subscriptions. What you need to succeed SMB Segment exposure and proven ability to manage a large customer set 3+ Years experience in a similar role, with experience in selling SAAS solutions preferred Excellent Communication Skills, both oral and written Flair for Technology and ability to lead a customer conversation with value-selling rather than product features pitch. Demonstrated ability to be a quick learner. Task-oriented with focus and drive to complete tasks at hand. Strong organization, follow-through, and documentation skills suitable for customer communication. International Sales Experience with exposure to NA markets preferably. Working hours will coincide with the US Time Zones Bachelor's Degree or Equivalent **** Interested candidates can whats app their CV at 9711831492 or share their CVs at gaurav.a2zhrconsultants@gmail.com