AI IN Finance Jobs in Noida

Position: Fintech Academic Expert Location: Noida, Uttar Pradesh Department: Analytics Education Employment Type: Full-time About Paytm Paytm is India's leading mobile payments and financial services platform. As the pioneer of mobile QR payments in India, we build technologies that empower small businesses with seamless payment and commerce solutions. Our mission is to bring half a billion Indians into the mainstream economy through the power of technology. About the Role We are seeking a seasoned Fintech Academic Expert to drive educational innovation and thought leadership across our organization. This role blends domain expertise with instructional design, aimed at building internal capabilities, supporting product development, and engaging the broader fintech ecosystem. You will be at the forefront of Paytm s knowledge initiatives crafting cutting-edge learning content, delivering impactful training, and translating emerging fintech trends into actionable insights for our teams and partners. Key Responsibilities Content Development Design and deliver high-impact educational content, including case studies, technical guides, and hands-on modules across fintech domains. Research & Industry Trends Continuously track global fintech innovations and incorporate relevant insights into training programs and strategic discussions. Training & Enablement Lead in-depth training sessions for employees, partners, and student cohorts on fintech products, technologies, and regulatory frameworks. Product & Innovation Support Act as a subject matter expert to assist product and tech teams in developing user-centric fintech solutions through workshops and feedback loops. Required Skills & Tools Must-Have: Advanced Excel Prompt Engineering and Agentic AI Frameworks MCP (Model Context Protocol) Programming in Java / Python / R (with hands-on experience) Good to Have: Bloomberg Terminal knowledge Ethereum/Blockchain development exposure TensorFlow or other AI/ML tools Familiarity with Agile & Kanban methodologies Core Competencies: Excellent verbal and written communication Ability to simplify complex concepts into engaging learning materials Passion for fintech education, transformation, and innovation Domain Expertise Areas Digital Wallets & Payment Systems Blockchain & Cryptocurrency Fundamentals Artificial Intelligence, Machine Learning, and Big Data Analytics Cybersecurity, APIs, and Open Banking InsurTech & RegTech Qualifications & Experience Minimum 5 years of professional experience in fintech, banking, or financial services Previous experience in teaching, mentoring, or training is highly preferred Background in fintech product development or product management is a significant plus At Paytm, you ll be part of a mission-driven team building technology for scale and impact. If you're passionate about financial innovation and want to shape the next generation of fintech learning, we invite you to join us and make a lasting difference.

Assistant General Manager Analytics (Risk Product) Location: Noida, Uttar Pradesh (Onsite) Company: Paytm India s Leading Mobile Payments & Financial Services Platform About Paytm Paytm is India s pioneer in mobile payments and financial services distribution, revolutionizing the digital economy with mobile QR payments. Our mission is to bring half a billion Indians into the mainstream economy using cutting-edge technology. Join us to be part of India s largest fintech lending revolution. Role Overview We are looking for an experienced Assistant General Manager Analytics to lead data analysis and reporting efforts for our lending verticals. This role demands strong expertise in SQL, dashboarding tools, and a passion for using AI to automate repetitive data workflows. You will collaborate with multiple stakeholders, deliver actionable insights, and drive data quality improvements across lending products. Key Responsibilities Develop, maintain, and automate comprehensive reports and dashboards tracking KPIs across lending verticals. Manage and prioritize data and analytics requirements from multiple lending teams. Analyze lending data trends to provide insights and actionable recommendations. Ensure data quality, accuracy, and integrity through robust methodologies. Present findings effectively to both technical and non-technical audiences. Identify opportunities to apply AI for automating repetitive data processes and improving efficiency. Stay current with industry trends in data analytics, AI, and fintech lending. Qualifications Bachelor s degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.). 5 7 years of hands-on experience in data analytics, preferably in lending or financial services. Strong proficiency in SQL and PySpark for data manipulation and analysis. Expertise with data visualization tools such as Tableau, Power BI, or Looker. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple projects and collaborate across teams. Self-driven with a demonstrated passion for AI implementation and automation. Preferred Skills Experience with statistical modeling and data mining techniques. Familiarity with cloud data warehousing platforms like Snowflake, BigQuery, or Redshift. Programming experience in Python or R. Proven track record of implementing AI-driven automation in business analytics. Be part of India s largest fintech lending platform with 500+ million users and 21+ million merchants. Work in a high-energy, innovative environment that fosters career growth and excellence. Opportunity to contribute to democratizing credit and financial inclusion in India. Play a critical role in shaping the future of digital lending in the country. Qualification : Bachelors degree in a quantitative field (Statistics, Mathematics, Economics, Engineering, etc.)

Operations Analyst | Client Support | Accounting | SQL | Test Case Management | Noida Location: Noida, Uttar Pradesh, India Position: Operations Analyst Department: Accounting MS Experience: Up to 2 years Open Positions: 1 Job Description: We are looking for an Operations Analyst to join our dynamic team in Noida. This role will involve providing essential functional support for client queries and issues, as well as assisting with new client onboarding and test case management for new features. You will also collaborate closely with the Product Development team to test and ensure the quality of new features, replicate client data, and execute test case scenarios. The ideal candidate should have strong communication skills, basic accounting knowledge, and experience with Excel and SQL. Key Responsibilities: Support Activities: Client Query Resolution: Provide functional support for client queries and issues, ensuring quick and efficient resolution. Issue Coordination: Work closely with support and development engineers to resolve client issues in a timely manner. Client Communication: Communicate with clients via email to address their concerns, provide updates, and ensure satisfaction. Non-Support Activities: Client Onboarding: Assist with the onboarding of new clients, ensuring a smooth implementation process and successful setup. Test Case Development: Collaborate with the Product Development team to build test cases for new features, ensuring functionality and accuracy. Sanity Testing: Perform sanity testing, replicate client data, and ensure proper functionality of features before release. Test Case Execution: Run, execute, and update test case scenarios as part of the feature testing process, ensuring high-quality deliverables. Required Skills and Experience: Strong Communication Skills: Ability to communicate clearly and effectively with clients and internal teams via email and other communication channels. Accounting Knowledge: Basic understanding of accounting principles and related processes. Excel Skills: Proficiency in Excel for data analysis, reporting, and managing client information. SQL Knowledge: Experience with SQL for querying databases and ensuring the accuracy of data. Accounts Payable: Basic knowledge of accounts payable processes and operations. Experience: Up to 2 years in a related role, preferably within a client support or operations capacity. Preferred Skills: Experience in client onboarding and product testing. Familiarity with Product Development and collaboration across teams to define test cases. Ability to handle multiple tasks and prioritize effectively in a fast-paced environment.

AI/ML Engineer Noida 2+ Years Experience Full-Time Location: Noida Experience Level: Minimum 2 years Employment Type: Full-Time Open Positions: 2 Job Overview: We are seeking a highly skilled and motivated AI/ML Engineer to join our dynamic technology team in Noida or Indore. If you have a passion for artificial intelligence, deep learning, and machine learning systems, and are excited to work on cutting-edge projects, we want to hear from you. Key Responsibilities: Develop and implement end-to-end machine learning solutions, including proof of concepts (POCs). Design, build, train, and optimize machine learning models for various business use cases. Research and evaluate the latest ML algorithms, frameworks, and tools. Work closely with software engineering teams to deploy AI models in production environments. Required Qualifications and Skills: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. At least 2 years of hands-on experience in machine learning or data science roles. Strong programming skills in Python, with experience in libraries like TensorFlow, PyTorch, or similar ML frameworks. Proficiency with cloud-based AI platforms (such as AWS SageMaker, Google AI, or Azure ML). Familiarity with Docker, Kubernetes, and modern deployment pipelines. Opportunity to work on impactful, large-scale AI/ML projects. Flexible work locations Noida or Indore. Collaborative work culture with growth and learning opportunities. Apply now and shape the future with intelligent technology. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Job Title: SEO Team Lead Introduction We are looking for an SEO Team Lead to drive organic growth, optimize website performance, and develop strategic SEO initiatives. You will be responsible for keyword research, on-page and technical SEO improvements, content optimization, and competitive analysis to enhance search rankings and website visibility. If you have strong analytical skills, a data-driven approach, and experience leading SEO efforts, we d love to hear from you! Key Responsibilities SEO Strategy & Keyword Research Conduct in-depth keyword research and create a keyword strategy to drive content creation and optimization. Develop and execute keyword plans to optimize existing content and generate new content ideas. Perform competitive analysis to benchmark current SEO performance and devise strategies to outperform competitors. On-Page & Technical SEO Optimization Optimize website pages (homepages, landing pages, blog posts, product pages) for content quality, keyword usage, and user experience to improve organic rankings. Conduct full-scale SEO audits (technical, on-page, and off-page) for both mobile and desktop versions to identify areas for improvement. Work closely with web developers to fix technical SEO issues such as slow page speeds, crawl errors, and duplicate content. Implement local and international SEO strategies, including Google My Business (GMB) optimization. Performance Analysis & Reporting Measure key SEO metrics such as organic traffic, keyword rankings, and domain authority and provide actionable recommendations. Track search engine algorithm updates and adjust SEO strategies accordingly. Provide regular SEO reports and insights to stakeholders to drive continuous improvement. SEO Trends & Best Practices Stay updated with latest SEO trends, algorithm updates, and industry best practices. Explore and implement new SEO tools to improve efficiency and results. Requirements 1+ years of experience as an SEO Team Lead or in a similar role. Proven experience in keyword research, on-page SEO, technical SEO, and competitive analysis. Experience in Digital Marketing Agencies is preferred. Strong knowledge of Google Search Console, Google Analytics, and SEO tools like SEMrush, Ahrefs, Screaming Frog, etc. Ability to work with developers, content creators, and marketing teams to implement SEO recommendations. Strong analytical and problem-solving skills. Opportunity to lead SEO efforts in a growing company. Work in a collaborative and innovative digital marketing environment. Stay ahead of the curve with cutting-edge SEO strategies and tools. If you're passionate about SEO and want to make an impact, we'd love to have you on our team!

Job Title: SEO Manager Introduction We are looking for an experienced SEO Manager to develop, implement, and optimize SEO strategies that drive organic traffic, improve rankings, and maximize ROI. The ideal candidate should have strong analytical skills, experience in team management, and a deep understanding of SEO best practices. If you have a proven track record in SEO, a strategic mindset, and the ability to lead teams, we d love to hear from you! Key Responsibilities SEO Strategy & Execution Develop and implement SEO strategies to improve organic search rankings and maximize ROI. Conduct keyword research and monitor keyword rankings, traffic, and other key SEO metrics. Perform on-page and off-page SEO optimization to enhance website visibility. Keep up with search engine algorithm updates and adjust strategies accordingly. Performance Tracking & Reporting Monitor SEO performance through key metrics such as organic traffic, bounce rate, keyword rankings, and conversions. Generate and analyze SEO reports, providing insights and actionable recommendations. Use SEO and web analytics tools (Google Analytics, Screaming Frog, MOZ, SEMrush, WebTrends) to track progress and identify opportunities. Team Management & Collaboration Lead and manage the SEO team, including team leads and executives. Provide guidance, training, and mentorship to optimize team performance. Work closely with web developers, content creators, and the marketing team to align SEO strategies with overall business goals. Process Improvement & Innovation Identify areas for process improvement and implement best practices for enhanced productivity. Stay updated on SEO trends, tools, and techniques to keep the company ahead of competitors. Requirements 2+ years of experience as an SEO Manager, SEM Manager, or similar role. Experience managing SEO teams, including team leads and executives. Strong knowledge of SEO best practices, keyword research, on-page & off-page optimization, and link-building strategies. Proficiency in SEO tools (Screaming Frog, MOZ, SEMrush, Ahrefs, Google Search Console, Google Analytics, etc.). Excellent analytical, organizational, and leadership skills. Strong communication and collaboration skills to work with cross-functional teams. Experience in a Digital Marketing Agency is preferred. Lead and shape the SEO strategy in a dynamic and growing company. Work with a talented and collaborative digital marketing team. Stay ahead with cutting-edge SEO techniques and tools. If you're ready to take on an exciting leadership role in SEO, we'd love to have you on board!

Finance and Accounts Multiple Vacancies Category: Administrative Staff | Type: Full-Time Location: Noida Organization: Medanta The Medicity Job Summary Medanta is on the lookout for motivated and skilled finance professionals to join our Finance and Accounts team in Noida. Whether you specialize in accounts payable, receivable, taxation, billing, or financial reporting, you ll play a key role in ensuring smooth, compliant, and insightful financial operations for our hospital. Potential Roles Accounts Payable: Manage invoice processing, tax deductions, vendor relations, and bank reconciliations Accounts Receivable: Handle claims processing, billing follow-ups, dispute resolution, and patient account inquiries Cashier: Manage payments, issue receipts, balance cash drawers, and prepare bank deposits Taxation: Oversee corporate taxes, GST, compliance, and tax policy management Revenue Assurance: Monitor and optimize revenue streams, resolve discrepancies, and support pricing strategies Financial Accounting & Reporting: Assist with financial statements, variance analysis, and month/year-end closings Billing Management: Ensure accurate billing, manage revenue cycles, and respond to billing queries Qualifications & Skills Bachelor s or Master s degree in Finance, Accounting, or related field 3 7 years of relevant experience in finance/accounting roles Strong grasp of accounting principles and financial regulations Proficient in accounting software and Microsoft Office (especially Excel) Excellent analytical, problem-solving, and organizational skills Strong communication and interpersonal abilities Join a leading healthcare organization where your finance expertise directly supports high-quality patient care and operational excellence. Thrive in a collaborative, fast-paced environment with room for professional growth. Qualification : Bachelors or Masters degree in Finance, Accounting, or related field

Sr. Associate, Index Operations Fixed Income Location: Noida, India Department: Operations Group Grade Level: 11 About the Role Join the Fixed Income Index Calculation and Distribution (ICAD) Team, a key part of the Global Index Management & Production Group at S&P Dow Jones Indices. This role focuses on the day-to-day calculation, validation, and dissemination of fixed income indices, supporting critical financial benchmarks used worldwide. Key Responsibilities Perform daily calculation and validation of fixed income indices, ensuring data accuracy and operational excellence. Analyze corporate actions, market data, and pricing inputs to maintain index integrity. Oversee operational workflows and troubleshoot system alerts with technology partners. Lead or assist in automation, new index launches, and system enhancement projects. Collaborate with internal stakeholders across Product Management, Index Services, IT, and Client Coverage. Monitor fixed income market developments to refine index operations and methodologies. Qualifications Bachelor's degree in Finance, Economics, Business, Mathematics, or a related field. 4 5 years of experience in financial services, preferably with exposure to fixed income, derivatives, or commodities. Strong knowledge of financial markets and index concepts. Proficiency in Excel, with additional skills in SQL, Python, MongoDB, or VBA considered a plus. Excellent communication skills, strong analytical ability, and an aptitude for multi-project coordination. Why Join S&P Dow Jones Indices Work with one of the most trusted names in global finance. Gain hands-on experience in index operations that influence trillions in global assets. Be part of a collaborative, innovative environment focused on continuous learning, automation, and efficiency. Qualification : Bachelor's degree in Finance, Economics, Business, Mathematics, or a related field.

Senior Machine Learning Engineer II Location: Noida, Uttar Pradesh, India Employment Type: Full-Time About Adobe Adobe is revolutionizing the way the world creates and communicates. From individuals to global enterprises, our tools empower people to design and deliver stunning digital experiences. We re driven by creativity, fueled by innovation, and committed to creating an inclusive culture where every employee has access to equal opportunity and respect. About the Team The Adobe Express team is building a transformative all-in-one creative application for web, desktop, and mobile platforms. By combining Adobe s core creative technologies with intelligent, AI-enhanced workflows, Adobe Express empowers anyone from casual creators to professionals to create standout content quickly and effortlessly. The Opportunity We are seeking a highly experienced and visionary Senior Machine Learning Engineer II to develop next-gen AI-powered features focused on image editing, generative AI, and multimodal creative experiences within Adobe Express. You will drive cutting-edge ML and AI workflows, including personalized assistants, intelligent editing tools, and LLM-integrated creative workflows. Experience Requirements 12+ years of hands-on experience in machine learning, computer vision, NLP, or related domains. Track record of delivering production-grade ML models and scalable AI systems. Experience with LLMs, agent-based systems, and generative AI models is strongly preferred. Responsibilities Design, develop, and deploy scalable ML pipelines across the entire lifecycle training, inference, and optimization. Build generative AI features and intelligent assistants for Adobe Express, particularly in the image editing domain. Integrate Large Language Models (LLMs) and AI agents to support dynamic and multimodal creative workflows. Collaborate across product, design, and engineering to translate user needs into AI-powered features. Architect sub-agent frameworks to modularize tasks such as content generation, smart editing, and design assistance. Contribute to experimentation infrastructure, including A/B testing, performance tracking, and continuous learning. Stay current on research in generative AI, federated learning, and optimization techniques for low-latency inference. Champion AI-first practices and mentor peers to foster a culture of experimentation, learning, and innovation. Required Skills Programming: Proficient in Python (for model development) and C++ (for performance-sensitive systems). Frameworks: Deep experience with TensorFlow, PyTorch, and modern GenAI toolkits. AI Expertise: Practical experience with LLMs, computer vision, NLP, multimodal models, and agent-based design. Systems: Proven ability to build ML pipelines at scale both in cloud and on-device environments. Preferred Qualifications Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Published research or patents in AI/ML, especially in generative modeling or AI-assisted creativity. Experience with federated learning, RAG (retrieval-augmented generation), and real-time inference optimization. Lead the development of creative AI technologies that impact millions of users globally. Work in a collaborative, inclusive, and high-performing team culture. Access world-class learning, research, and innovation resources. Enjoy excellent employee benefits, flexibility, and career growth opportunities. Adobe is proud to be an Equal Opportunity Employer. We believe that diversity makes us stronger and we encourage all qualified individuals to apply. Qualification : Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.

Gen AI Engineer Location: Noida Experience: 2+ years Openings: 2 Roles & Responsibilities: Build and optimize RAG (Retrieval-Augmented Generation) and Agentic AI workflows using LangChain, vector databases (Pinecone, FAISS, ChromaDB), and embedding models. Implement LLM fine-tuning, prompt chaining, and response ranking to enhance generative AI performance. Develop and evaluate retrieval mechanisms using semantic search and vector similarity techniques. Benchmark model performance using BLEU, ROUGE, METEOR, BERTScore, and other LLM evaluation metrics. Deploy AI models in production environments (AWS, GCP, Azure) with MLOps best practices for monitoring and retraining. Stay updated on the latest advancements in LLMs, transformers, and multi-agent AI architectures, applying new techniques to improve AI-driven applications. Required Skills: 2+ years of hands-on experience in Generative AI, RAG, and Agentic AI workflows, with expertise in LangChain, embedding models, and vector databases (Pinecone, FAISS, ChromaDB). Strong Python skills with experience in Hugging Face, PyTorch, TensorFlow, and scikit-learn for LLM fine-tuning and prompt engineering. Proficiency in benchmarking LLMs using BLEU, ROUGE, METEOR, and BERTScore, ensuring model quality and optimization. Experience in cloud-based deployments (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases, KubeFlow) for monitoring and retraining. Familiarity with containerized deployments (Docker, Kubernetes) and distributed computing (Ray, Spark) for scalable AI workloads. Strong problem-solving skills, with the ability to optimize LLM pipelines for latency, efficiency, and real-world applications.

Job Title: Robot AI Researcher Advanced Robotics Location: Noida Role Overview As a Robot AI Researcher, you will develop and deploy advanced AI algorithms for robotic systems, focusing on vision, perception, and motion planning. You will collaborate with cross-functional teams to optimize AI models and integrate them into real-world robotic applications. This role is part of the Advanced Robotics team, working on innovative projects like Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at shaping the future of robotics. Key Responsibilities Design and implement AI algorithms for robotic systems, focusing on computer vision, perception, motion planning, and reinforcement learning. Develop and deploy machine learning and deep learning models (e.g., CNNs, RNNs, GANs) for applications like object recognition, path planning, and autonomous decision-making. Enhance RL/IL processes to improve sample efficiency, learning speed, and scalability. Apply reinforcement learning techniques to optimize robotic behaviors such as navigation, manipulation, and task execution. Train multimodal robot foundation models using large-scale datasets. Optimize AI models for real-time performance and deployment on robotic platforms. Use data augmentation and simulation techniques to improve model robustness. Leverage CUDA programming for GPU acceleration to enhance model training and deployment speed. Test AI-driven robotic prototypes in real-world scenarios and refine models based on performance analysis. Collaborate with hardware engineers, roboticists, and software developers to integrate AI into fully functional robotic systems. Education & Experience PhD or Master s degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields. 2 to 5 years of experience in AI research and development for robotic systems. Technical Skills Proficiency in Python, C++, and CUDA for AI development and optimization. Experience with AI frameworks and libraries like TensorFlow, PyTorch, OpenCV, and scikit-learn. Strong knowledge of reinforcement learning, deep learning, and general machine learning techniques. Familiarity with Foundation Models, Physical AI, and Visual Language Action (VLA) Models is preferred. Knowledge of robotic sensors (LiDAR, cameras, IMUs) and Robot Operating System (ROS). Hands-on experience developing real-time AI algorithms for robotic platforms. Ability to handle large datasets, perform thorough model evaluation, and optimize for computational efficiency and real-time processing. Qualification : PhD or Masters degree in Robotics, Computer Science, Computer Vision, Artificial Intelligence, or related fields.

The Role We are seeking a Senior Business Analyst to support our Fixed Income Pricing business within the Market, Data, and Valuations (MDV) division, based in Noida, India. The Team This role is part of the Product Development team within Fixed Income Pricing. The team drives product development execution across the pricing business, covering asset classes such as Credit, Bonds, and Loan Pricing. The Impact This position is crucial for delivering product roadmaps that drive revenue growth and business success. The role involves collaboration with cross-functional teams to define, execute, and track roadmaps. Opportunity to work with a highly focused team that innovates, defines, and delivers new initiatives while maintaining existing business. Exposure to a wide range of S&P Fixed Income products. Collaboration with stakeholders across various levels and functions. Significant learning and career growth opportunities within S&P Global. Responsibilities Collaborate with a cross-functional and geographically dispersed team to ensure timely and effective delivery of key project milestones. Act as a product owner/business analyst for multiple high-impact initiatives. Define and maintain product roadmaps in partnership with cross-functional stakeholders. Facilitate requirement-gathering sessions and deliver detailed business and functional requirements, user stories, and feature files. Resolve ambiguities in scope and requirements to ensure successful delivery. Conduct User Acceptance Testing (UAT) and provide regular status updates to senior stakeholders. Manage internal communications on project milestones, issues, and risks to keep business stakeholders and leadership informed. Educational Background: BA/BS/MBA in finance, business, or computer science. Experience: 5+ years as a product owner or business analyst, preferably in an Agile/Scrum environment. Familiarity with geographically dispersed, large teams. High-level understanding of databases and programming concepts. Strong knowledge of product lifecycles, creating specifications, and designing mockups. Proven ability to interface with both technical and non-technical teams. A professional, detail-oriented, energetic personality with a strong commitment to teamwork and success. Qualification : BA/BS/MBA in finance, business, or computer science

Data Engineer Location: Noida Experience: 2 5 Years Employment Type: Full Time About Times Internet Times Internet is India s largest digital products company, building premium digital platforms across diverse sectors like News, Sports, Fintech, and Enterprise Solutions. Our brands such as TOI, ET, Cricbuzz, Times Prime, Willow TV, and Whatshot reach millions and are designed to simplify and enrich everyday experiences. We take pride in fostering an inclusive, innovative workplace. As an equal opportunity employer, we ve maintained gender pay parity (independently verified by Aon Hewitt) and are committed to building a diverse and equitable team. About the Business Unit ET B2B The Economic Times B2B Verticals (ETB2B) is a leading business media platform, delivering insightful content, newsletters, and premium conferences across 23+ sectors including Auto, Energy, Pharma, Retail, and HR. With a monthly reach of over 8 million professionals, ETB2B powers business decision-making and industry learning through platforms like ET Masterclass, vConfex, and the ET B2B Intent Signal Platform a cutting-edge initiative leveraging behavioral data, enrichment tools, and event-driven insights. Role Overview As a Data Engineer, you will work on building scalable data pipelines, deploying machine learning models, and extracting actionable buyer intent signals using a variety of data sources and advanced ML/NLP techniques. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines to process large-scale structured and unstructured data (web behavior, CRM, third-party APIs, etc.). Build predictive models to extract buyer intent signals, leveraging NLP, behavioral analytics, and pattern recognition. Use modern ML and NLP tools: spaCy, Transformers, Scikit-learn, TensorFlow, PyTorch, and OpenAI APIs. Collaborate with product managers, backend engineers, and data scientists to deploy models into production and optimize performance. Ensure data pipeline reliability, compliance (GDPR, SOC 2), and freshness through robust monitoring and alerting systems. Enhance pipeline and model inference efficiency for near real-time scoring applications. Document workflows, model performance, and pipeline architecture for internal transparency and reproducibility. Required Skills & Qualifications Strong experience in Python for data engineering, ML pipelines, and model integration. Proficiency with ETL tools (Airflow, Prefect), data processing frameworks (Pandas, Dask), and workflow orchestration. Knowledge of machine learning and NLP techniques (entity extraction, sentiment analysis, text classification). Familiarity with ML model deployment via Docker, Kubernetes, and cloud ML services (AWS SageMaker, GCP AI Platform, Azure ML). Experience with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake). Strong grasp of version control (Git), CI/CD pipelines, and agile collaboration tools. Ability to interpret, visualize, and communicate model insights effectively working alongside analysts or through dashboards. Education & Experience Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related technical field. 2 5 years of hands-on experience in data engineering, applied ML, or software development, ideally in SaaS, Martech, or B2B analytics domains. Be part of India s largest digital ecosystem. Work on impactful, high-scale products with real-world value. Collaborate with top minds in data, AI, and product development. Enjoy a culture of innovation, inclusion, and continuous growth. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related technical field

Position: Associate Manager IT Company: Zetwerk Electronics Private Limited Location: Noida About Zetwerk Electronics Zetwerk Electronics is a leading Indian ESDM (Electronics System Design & Manufacturing) company with seven advanced factories producing two devices per second. We are a trusted contract manufacturer serving diverse high-growth sectors including Telecom (5G infrastructure), Consumer Durables, Hearables & Wearables, Televisions & Displays, IT Hardware, and Precision Assembly. Our focus on technology, quality, and strategic diversification has positioned us as a key player in India's electronics manufacturing landscape. Comprehensive, ongoing worker training and cross-training programs to foster skill development and continuous improvement. Cutting-edge facilities combined with domain expertise. Strong culture of quality and innovation. Opportunities to make a significant impact on a growing, technology-driven business. Roles & Responsibilities Lead end-to-end implementation of Microsoft Dynamics 365 Finance & Operations (D365 F&O) for finance modules in manufacturing environments. Manage requirement gathering, solution design, configuration, testing, and documentation. Support integration with SCM, production, and inventory modules. Coordinate with cross-functional teams including IT, finance, and factory operations. Assist in data migration, validation, unit testing, and user acceptance testing (UAT). Facilitate training sessions and manage change processes for key users. Provide Level 1 functional support for finance-related queries and enhancement requests post go-live. Monitor implementation progress, proactively identify risks, and coordinate timely resolutions. Prepare and maintain SOPs, user manuals, test cases, and issue trackers. Maintain strong stakeholder communication and management. Job Requirements Bachelor s or Master s degree in Commerce or related field. Minimum 2 years experience implementing Microsoft Dynamics 365 Finance & Operations (F&O) modules, especially in manufacturing setups. Strong knowledge of financial processes such as General Ledger (GL), Accounts Receivable (AR), Accounts Payable (AP), Fixed Assets, Budgeting, and Costing. Excellent communication and analytical skills with a collaborative mindset. Qualification : Bachelors or Masters degree in Commerce or related field

Position: Senior Executive - Finance Location: Noida Company: Zetwerk Electronics Private Limited About Zetwerk Electronics Zetwerk Electronics is a key player in India s Electronics System Design and Manufacturing (ESDM) sector, operating seven advanced factories and producing two devices every second. As a leading contract manufacturer catering to both global and Indian value chains, we serve high-growth sectors with rapid turnarounds, competitive pricing, and superior quality. Our portfolio spans diverse segments: Telecom: End-to-end manufacturing for 5G infrastructure, GPON systems, and ONTs. Consumer Durables: Scalable manufacturing of ESDM sub-systems for appliances, from development to testing. Hearables & Wearables: Full lifecycle EMS/ODM services supporting IoT device innovation and market entry. Televisions & Displays: High-capacity production facility in Dharuhera delivering complete TV and display solutions. IT Hardware: Manufacturing of motherboards, SSDs, and USB drives serving industrial and consumer markets. Precision Assembly (CORY Connectors): High-precision connector assembly for 5G, EVs, and industrial applications, fully Made in India. At Zetwerk Electronics, we are committed to fostering your career growth through comprehensive training, cross-skilling, and continuous improvement, powered by our domain expertise, advanced facilities, and stringent quality standards. Roles & Responsibilities Monitor the flow of vendor invoices, ensuring accurate recording and timely processing. Reconcile vendor ledgers, investigate discrepancies, and coordinate with purchase and stores teams for resolution. Deduct TDS as per applicable laws, maintain challan records, and assist in quarterly TDS return filing. Perform reconciliation of GSTR-2A and GSTR-3B returns. Maintain accounts payable records, payment proofs, and provide documentation support for internal and statutory audits. Ensure timely accounting of capital assets, calculation of depreciation, and proper tagging of assets. Job Requirements Bachelor s or Master s degree in Commerce/Finance (B.Com, M.Com, MBA Finance) or CA Intermediate qualification. Strong knowledge of TDS, GST, and accounts payable processes. Proficient in Microsoft Excel (VLOOKUP, Pivot Tables, Filters). Experience working with ERP systems such as Tally, SAP, or Oracle. Detail-oriented with strong communication and follow-up skills. Qualification : Bachelors or Masters degree in Commerce/Finance (B.Com, M.Com, MBA Finance) or CA Intermediate qualification

Position: Specialist, Technical Professional Services (Implementation Analyst) Work Type: Onsite Location: Noida, Uttar Pradesh, India About Fiserv: We are Fiserv, a global leader in fintech and payments. We move money and information that power millions of financial transactions daily quickly, reliably, and securely. Whether it s swiping a credit card, paying via a mobile app, or withdrawing cash, Fiserv is involved. If you want to make an impact on a global scale, join us and make a difference. Job Summary: The Implementation Analyst is responsible for leading successful implementations of Fiserv s solutions for new and existing clients. You will engage directly with clients from project kickoff through go-live, ensuring smooth and effective deployment. This fast-paced role requires flexibility, strong communication, and an ability to understand client business challenges to drive their success. Key Responsibilities: Lead end-to-end implementation projects for Fiserv s solutions. Engage with clients to understand their business challenges and opportunities. Use business analysis techniques and and tools to guide implementations. Manage multiple projects simultaneously, meeting deadlines and deliverables. Document client meetings and requirements accurately. Collaborate with internal teams and clients to ensure project success. Exercise sound judgment and decision-making to support client objectives. Demonstrate Fiserv values and contribute to team recognition programs. Basic Qualifications: Bachelor s or Associate degree in Business, Finance, Accounting, Computer Science, or related field. Equivalent work experience accepted. Minimum 1 year of experience in direct customer/client project involvement or support. Preferred Skills & Experience: 3+ years of experience in direct customer/client project or support roles. Working knowledge of financial services branch front-end operations (Bank Operations, Teller, New Account Processing, Item Processing). Strong self-motivation, excellent time management, and ability to meet tight deadlines. Analytical skills to assess business needs, identify solutions, and manage requirements. Excellent written and verbal communication skills. Proficiency with MS Office Suite. Active listening skills for accurate documentation and client understanding. Ability to work both independently and collaboratively. Creative problem-solving and strong troubleshooting abilities. Self-accountability and organizational skills for effective project management. Qualification : Bachelors or Associate degree in Business, Finance, Accounting, Computer Science, or related field. Equivalent work experience accepted.

Job Title: Enterprise Sales Manager Location: Noida, India (Work from Office) Job Type: Full-Time Industry: Technology | SaaS | Conversational AI About Rezo.AI At Rezo.AI, we are transforming customer experiences through our AI-Powered CX Cloud, which automates and analyzes customer interactions at scale across voice and non-voice channels in 30+ languages. Founded by IIT alumni Manish and Rashi Gupta in 2018, our platform is designed to help enterprises reduce churn and boost revenue without increasing operational costs. Our AI-driven APIs enable real-time 24x7 intelligent automation, providing instant responses with minimal human involvement making customer experience smarter, faster, and more cost-effective. The Problem We Solve Traditional contact centers are overwhelmed by query volumes, understaffed teams, and outdated systems resulting in poor support, customer churn, and revenue loss. Rezo.AI addresses this with its next-gen conversational AI platform scaling intelligent support at low costs. About the Role: Enterprise Sales Manager (7+ Years Experience) We are seeking an experienced and results-driven Enterprise Sales Manager to join our growing team. This role is ideal for professionals with a strong background in B2B, SaaS, or Conversational AI sales who can confidently manage complex sales cycles, drive new business, and work closely with CXO-level stakeholders. Responsibilities Own the complete sales cycle: from prospecting to closing for large enterprise accounts. Identify and convert new logo opportunities in the assigned region/industry vertical. Build and nurture CXO-level relationships, understanding client pain points and mapping solutions effectively. Present tailored solutions using consultative and concept-based selling approaches. Collaborate with pre-sales and product teams to tailor and deliver high-impact demos. Track and achieve quarterly/annual revenue targets. Stay up to date with market trends, competitors, and emerging technologies in the CX automation and AI domains. Requirements 7+ years of experience in Enterprise Sales, SaaS, or Conversational AI solutions. Strong understanding of solution and concept selling in the B2B domain. Proven experience in selling platforms such as CRM, ERP, CPaaS, Contact Center Solutions, or similar technologies. Ability to engage with C-suite executives and decision-makers. Technologically adept comfortable understanding and explaining complex solutions. Excellent communication, presentation, and negotiation skills. Highly driven, proactive, and comfortable working in a fast-paced startup environment. Life at Rezo.AI Open culture with regular town halls and full business transparency. Relaxed, inclusive, and collaborative work environment. Autonomy, ownership, and constant learning backed by cutting-edge tools and mentorship. Balanced work-life culture and company-sponsored off-sites to unwind with the team. Perks & Benefits Best-in-class health insurance & mental wellness programs. Flexible, contemporary leave policy (beyond standard sick leaves). Learning-first culture with access to training, mentorship, and growth opportunities. Join a fast-scaling AI SaaS startup with ambitious goals and a dynamic work environment. Work alongside top talent across AI, engineering, and enterprise sales. Play a key role in transforming enterprise CX with one of the most advanced AI platforms in the space. Thrive in a diverse, merit-driven organization where your ideas and work create real impact.

Position Summary The Risk Officer for the Global Service Delivery ( GSD ) centre of Allianz Partners will report directly to theGlobal Qualitative Head of Risk of Allianz Partners. The GDSs are fully fledged share services centers serving worldwide operations of Allianz Partners. Allianz Partners provides globally diverse expertise in automotive, international health & life, travel insurance, assistance and direct sales and is at the forefront of the Allianz B2B2C offering. The Risk Officer will have responsibility for the GSDs located in India, Thailand, Mexico and Brazil. They will be responsible for ensuring effective and efficient risk management processes and procedures are implemented and maintained in accordance with the Allianz Partners Global risk management framework as well as regulations in force. They will collaborate closely with first and second line of defense leaders within the GSD or across the company (as required) to ensure timely and transparent identification, assessment and mitigation of risks in the GSD as well as to ensure that the internal control system is effectively integrated within their areas of responsibility. They will provide support for internal control programs and projects designed to identify and manage significant risks related between others to: Operations, Information Technology, Legal, Regulatory and Compliance. The Risk Officer will also contribute to the Allianz Partners Global Risk Programs and, depending on the topic or seniority level of the Risk Officer, lead some of the CoCs. Responsibilities Oversee, coordinate and lead Risk management topics for the GSD, including topics across global locations as required Act as Single Point of Contact for Risk topics within the GSD Develop and maintain a good understanding of the GSD business and liaise closely with management Work with the business and provide risk expertise and consulting for projects and initiatives Support the management, monitoring and reporting business operations risks Conduct risk assessments to determine impacts of risk issues and facilitate appropriate escalation and implementation of the decisions Provide feedback to inquiries relating to risk monitoring actions Support and provide advice during decision-making processes Monitor news around market and evaluate current and potential risk exposure Identification of changing regulations and industry risk trends that may have an enterprise-wide impact Monitor the implementation and effectiveness of risk management activities Participate in the organisation, as well as lead and present topics in the relevant Risk Committee and other meetings as required Facilitate the Risk management process and provision of Risk management delivery support (this includes among others, the Top Risk Assessment and Internal Control Framework) Coordinate the effective implementation and maintaining of a network of Risk and Internal Control coordinators as well as the provision of risk training to the wider business. Promote a positive Risk Culture within the business Stakeholder Engagement Responsibilities: Practice and encourage open and effective communication internally and externally in order to build and nurture effective working relationships Lead an engaged internal control community to build strong partnerships with the business to ensure internal control processes are aligned with business needs and integrated within the organization. Develop and maintain effective working relations with internal and external parties, including but not limited to Top Management, extensive cross-functional interfaces and auditors to ensure the Internal Control Framework remains relevant and effective and provides adequate assurance. Manage and participate in the business meetings initiative with a focus on full coverage across all functions promoting the strategic business partnering ambition of the Risk function Seniority levels: Risk Officer: experience in Risk Management or relevant functions in insurance or services business and Risk Management Skills at ambition for seniority level Qualifications and Experience Required Bachelor s degree in business, finance or related field or equivalent combination of work and education experience. Risk Management or internal control accreditation or Accounting or Auditing qualification Understanding and knowledge of best practices and trends in Enterprise Risk Management and internal control frameworks. Relevant quantitative, Solvency II experience Strong IT user skills, very good user knowledge of Microsoft (Excel, Word, PowerPoint) Fluency in English Risk Management Skills at ambition level GSD Risk Officer in Global Qualitative Risk Management team The Risk Officer for the Global Service Delivery ( GSD ) centre of Allianz Partners will report directly to the Global Qualitative Head of Risk of Allianz Partners.The GDSs are fully fledged share services centers serving worldwide operations of Allianz Partners. Allianz Partners provides globally diverse expertise in automotive, international health & life, travel insurance, assistance and direct sales and is at the forefront of the Allianz B2B2C offering.The Risk Officer will have responsibility for the GSDs located in India, Thailand or Mexico and they will be responsible for ensuring effective and efficient risk management processes and procedures are implemented and maintained in accordance with the Allianz Partners Global risk management framework as well as regulations in force.They will collaborate closely with first and second line of defense leaders within the GSD or across the company (as required) to ensure timely and transparent identification, assessment and mitigation of risks in the GSD as well as to ensure that the internal control system is effectively integrated within their areas of responsibility.They will provide support for internal control programs and projects designed to identify and manage significant risks related between others to: Operatio...

Position Summary: This role involves managing the bank relationships of the Allianz Partners legal entities by selecting appropriate banks, monitoring their performance, defining the bank account infrastructure, and ensuring the proper implementation of bank telematics services. Key Result Areas: Bank Relationship Management: Select banks and other partners to maintain strategic relationships. Negotiate and sign contracts with banks and other service providers. Monitor banking performance to ensure efficiency and compliance. Monitor and control banking fees to ensure cost-effectiveness. Bank Account Infrastructure: Define the bank account infrastructure for each legal entity within Allianz Partners. Oversee the opening and closing of bank accounts as required. Regularly circulate information on bank accounts to relevant stakeholders. Bank Telematics Management: Define the telematics services required for payment/collection, cash management, and banking reconciliation tasks. Request telematics services from providers and ensure timely implementation. Monitor the performance of telematics services to ensure alignment with company needs. Key Skills: Efficiency: Strong analytical skills with the ability to synthesize and consolidate large volumes of data into simple and structured outputs. Ability to arbitrate and prioritize tasks effectively. Solutions and results-oriented approach to challenges. Openness and flexibility in addressing challenges from different perspectives to find the best solution. Accountability: Ability to learn and take initiative in new areas. Strong customer service orientation and ability to innovate. A focus on advances in technology and practices to improve processes. Communication: Excellent written and verbal communication skills. Strong networking skills with the ability to liaise with individuals across different functions. Ability to work and communicate with a diverse range of cultures, levels, and organizations worldwide. Finance: Strong financial acumen, especially in treasury management. Knowledge of banking operations, payments, collections, and financial reconciliation. About Allianz Group: Allianz Group is one of the most trusted insurance and asset management companies in the world. We care for our employees, their ambitions, dreams, and challenges, making us a unique employer. Together, we can build an environment where everyone feels empowered and confident to explore, grow, and shape a better future for our customers and the world around us. At Allianz, we believe in a diverse and inclusive workforce. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, regardless of ethnicity, cultural background, age, gender, nationality, religion, disability, or sexual orientation. Great to have you on board. Let's care for tomorrow.

Job Title: Computer Vision Researcher Location: Noida Headquarters Overview: We are looking for a talented and driven Computer Vision Researcher to join our Advanced Robotics team. As a key member, you will contribute to the design, optimization, and integration of cutting-edge computer vision technologies that power our innovative robotic systems. Your expertise will drive the development of humanoid robots capable of navigating and interacting with complex, dynamic environments. This role will involve working on various advanced robotics products, including the Collaborative Robot, Quadruped (Trakr), Remote Ultrasound Solution, and Bi-Ped Robot. Key Responsibilities: Conduct Advanced Research: Lead research in computer vision areas such as image segmentation, object detection, motion tracking, sensor fusion, and more to create efficient algorithms enabling robots to perceive, navigate, and interact in real time with their environments. Deep Learning Model Development: Design, train, and fine-tune deep learning models (e.g., CNNs, RNNs, GANs) for various computer vision tasks. Work with large datasets to optimize performance and accuracy. Data Pipeline Management: Develop and implement efficient data processing pipelines for large-scale datasets. Utilize data augmentation techniques to enhance model robustness. Prototype Development: Build prototypes and proof-of-concept systems to demonstrate the integration of computer vision algorithms into practical robotic applications. Real-time Optimization: Evaluate and optimize the performance of computer vision models, particularly for real-time applications, ensuring both high accuracy and computational efficiency, especially for embedded or mobile devices. Third-Party Integration: Facilitate the integration of third-party computer vision libraries and frameworks into the robotic control stack, ensuring seamless compatibility with existing systems. Collaboration Across Teams: Work closely with product teams, hardware engineers, and software developers to integrate computer vision technologies into robotics hardware for enhanced robot movement and features. Mentorship and Guidance: Mentor junior researchers and engineers in computer vision techniques. Provide guidance on experimental design, data analysis, and algorithm development. Qualifications & Skills: Education: Ph.D. or Master s degree in Computer Science, Computer Vision, AI, Robotics, or a related field. Experience: 5-8 years of experience in computer vision research and development, including working with deep learning frameworks and large-scale datasets. Expertise in Computer Vision: Strong knowledge of image processing, feature extraction, object detection, segmentation, tracking, and other related areas. Deep Learning Frameworks: Proficiency with frameworks like TensorFlow, PyTorch, Keras, or Caffe. SLAM and VIO Knowledge: Experience with Visual SLAM, LiDAR SLAM, and Visual Inertial Odometry (VIO) is a plus. Advanced Networks: Hands-on experience with CNNs, RNNs, GANs, and other advanced deep learning architectures. Traditional Computer Vision: Familiarity with traditional computer vision techniques such as SIFT, SURF, HOG, and Optical Flow. Programming Skills: Strong skills in C++, Python, or other relevant programming languages. Data Handling: Experience with large image datasets (e.g., COCO, ImageNet), data augmentation, and processing techniques. Computer Vision Libraries: Experience with libraries like OpenCV or scikit-image. GPU Programming: Familiarity with CUDA for training deep learning models on GPUs. Machine Learning Fundamentals: Strong background in machine learning algorithms, statistical methods, and performance analysis techniques. Research & Innovation: Ability to stay current with the latest research trends in computer vision and apply cutting-edge methods to real-world challenges. Be a part of a dynamic, forward-thinking team pushing the boundaries of robotics. Work on innovative products with the potential to redefine the robotics landscape. Collaborate with experts across multiple disciplines in a supportive, growth-focused environment. If you're passionate about advancing the future of robotics and have a deep understanding of computer vision, we encourage you to apply and make a tangible impact on the next generation of intelligent robotic systems. Qualification : PhD or master's degree in computer science, Computer Vision, AI, Robotics, or a related field