Machine Learning Deep Learning Artificial Intelligence Jobs in Noida

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.

Our Company At Adobe, we re transforming the world through digital experiences. We provide everyone from emerging artists to global brands with everything they need to design and deliver exceptional digital experiences. We re passionate about empowering people to create beautiful and powerful images, videos, and apps, and revolutionizing how companies interact with customers across every screen. We re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has equal access to opportunity. We know that new ideas can come from anywhere in the organization, and the next big idea could be yours! Excited by AI/ML? Interested in creating innovative solutions using Machine Learning? Join the Document Cloud team in Noida, where we are building PDF solutions across Web, Mobile, Desktop, and Platform APIs. We process billions of PDFs every month, leveraging ML, Deep Learning, and Generative AI at the core. We are looking for experienced individuals who are passionate about researching and developing methods for processing vast amounts of content, and are able to build mashups of Vision, Image Processing, NLP, and Generative Models to solve complex problems. What you get to do in this role: Develop algorithms that apply deep learning and state-of-the-art methods in NLP and computer vision, alongside traditional large-scale, sophisticated solutions/codebases. Design and create experiments, algorithms, and solutions that achieve high accuracy while ensuring they are engineered to scale. Collaborate across multiple research and engineering disciplines to make the tradeoffs necessary to rapidly deliver AI/ML software solutions. Build robust, efficient, and reusable code in Python. Experience with C++ is preferred. In order to be successful, we need someone who has: B.Tech in Computer Science. MS/PhD is preferred. 3+ years of hands-on experience in deep learning, image processing, vision, and/or NLP. Proficiency in writing efficient, clean, and reusable code, with expertise in Python. Knowledge of C++ is a plus. Broad machine learning experience including data modeling, metrics, and result analysis. Experience working with TensorFlow or PyTorch. Exposure to Deep Learning techniques like CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, and multi-task learning. Experience in building solutions from scratch and maintaining large codebases. Strong software development skills that promote code reuse across engineering and research teams. Experience building AI applications for multiple locales is a plus. Pure Innovation: We celebrate those who think critically, take on challenges, and aspire to lead the way. Pure Growth: We offer the space and support you need to grow and contribute meaningfully to something groundbreaking. Pure Team: We believe in building each other up and working collaboratively toward shared goals. Adobe is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on gender, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by law. Qualification : B.Tech in Computer Science. MS/PhD preferred.

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.

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.

Position: Manager, Statistical Analysis Work Type: Onsite Location: Noida, Uttar Pradesh, India About Fiserv: Fiserv is a global leader in fintech and payments, moving money and information millions of times daily quickly, reliably, and securely. Whether you swipe a card, pay via mobile app, or withdraw cash, Fiserv plays a vital role. Join us and make an impact on a global scale. Role Overview: As a Manager, Statistical Analysis, you will be a key driver of enterprise automation projects at Fiserv. This role requires developing detailed project plans, mentoring teams, managing resources, engaging stakeholders, and proactively mitigating risks to ensure alignment with strategic business objectives. What You Will Do: Project Planning and Management Develop comprehensive project plans covering timelines, budgets, resources, and milestones. Ensure all project activities align with corporate goals and strategies. Continuously monitor progress and adjust plans as needed. Team Leadership and Coordination Lead, mentor, and foster collaboration within project teams. Organize regular meetings to address issues and provide constructive feedback. Clarify roles and responsibilities to promote cohesive teamwork. Stakeholder Management Engage senior stakeholders to provide strategic updates and gather feedback. Identify and mitigate significant risks throughout the project lifecycle. Ensure deliverables meet Fiserv s quality standards. Resource Allocation Secure and optimize resources for maximum efficiency. Manage budgets to prevent overspending. Risk Management Proactively identify potential risks and implement effective mitigation strategies. Deploy contingency plans to maintain project momentum. What You Will Need: Education Bachelor s or Master s degree in Computer Science or a related field. Experience 10+ years leading delivery teams, especially in implementing automation solutions. Technical Skills Deep understanding of development and test automation technologies. Leadership Skills Strong leadership and team management capabilities across cross-functional groups. Communication Excellent ability to communicate complex ideas to technical and non-technical stakeholders. What Would Be Great to Have: Familiarity with the Banking and Payments domain. This role offers an exciting opportunity to lead innovation in enterprise automation while promoting a culture of collaboration and excellence at Fiserv. Qualification : Bachelors or Masters degree in Computer Science or a related field.

Role Overview: As a Development Engineer in Adobe's AI Platform team, you'll play a pivotal role in the development, operations, and support of cutting-edge AI and ML solutions. You will be responsible for building new features, maintaining existing ones, and ensuring the successful delivery of high-quality, scalable software. The role requires expertise in Golang/Python, Kubernetes, and cloud platforms, as well as experience in machine learning (ML) solutions and workflow orchestration. Key Responsibilities: Product Development: Hands-on product development and solution implementation. Develop new features and maintain existing ones, from concept to deployment. Responsible for the full development lifecycle, including planning, design, coding, debugging, testing, and deployment. Analyze and implement high-quality software solutions using Golang/Python. Project Planning and Risk Analysis: Plan, estimate, and evaluate project efforts and associated risks. Drive the design and implementation of new layers, solutions, workflows, and features. Optimize solutions for frugality without compromising stability or resiliency. Cloud Infrastructure & ML Solutions: Design, develop, and optimize cloud-scale products and services. Build, deploy, and manage infrastructure in public cloud environments, particularly AWS. Develop solutions using the latest machine learning tools like PyTorch. Collaboration and Optimization: Collaborate with cross-functional teams to ensure the successful deployment and scalability of products. Continuously optimize the solution for performance, scalability, and cost-efficiency. Required Qualifications: Education: Bachelor s or Master s degree in Engineering or a related field. Experience: 9-12 years of relevant industry experience, particularly in cloud-based software development. Proven expertise in building large-scale platforms using Kubernetes. Strong programming skills in Python and Go. Experience with ML development tools, especially PyTorch. Experience in deploying and managing cloud infrastructure, particularly in AWS. Skills: In-depth knowledge of cloud platforms, container runtimes, and Kubernetes. Ability to work with large data-driven products and services used by a wide customer base. Strong problem-solving and debugging skills. Equal Opportunity Statement: Adobe is an Equal Employment Opportunity and affirmative action employer, ensuring all individuals are treated equally without discrimination based on gender, race, age, disability, religion, sexual orientation, or any other protected status. Qualification : Bachelors / Masters degree in engineering.

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.

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

Role Overview: The Adobe Express Content Team is looking for a passionate and motivated Full Stack Engineer to help build a scalable and responsive design application. As part of the team, you ll work on creating intuitive design tools that enable fast and easy content creation for users across web and mobile platforms. Key Responsibilities: UI and Service Development: Build new UI components and optimize scalable backend services and APIs to enhance user workflows. End-to-End Engineering: Architect and implement modern front-end and back-end solutions, handling upstream and downstream dependencies. Collaboration & Design: Work closely with UI/UX designers, architects, and product managers to create modern and intuitive features that deliver seamless user journeys. Performance Optimization: Extend, optimize, and future-proof parts of both front-end and back-end stacks. Production Support: Build and support production services and ensure smooth operations. Key Skills and Experience Required: Experience: 5+ years of experience in developing sophisticated web applications with responsive designs, modular and loosely coupled code. Technical Proficiency: Experience with JavaScript frameworks like TypeScript, React, ES6, and architectures like MVC/Flux/Redux. Knowledge of web standards, modern browsers, and performance optimizations (e.g., JS engines, CSS, reflow, repaint). Backend Services & Cloud Technologies: Familiarity with backend services, ElasticSearch, Node.js, Python, AWS services (Lambda, API Gateway, DynamoDB), Kubernetes, and Elastic Containers. Testing & Debugging: Strong knowledge of algorithms, data structures, and distributed systems design/implementation. Experience with unit, integration, and end-to-end testing. Production Maintenance: Experience with maintaining and debugging production environments and participating in on-call rotations. Internal Opportunities: At Adobe, creativity and constant learning are integral to career growth. Join us for an exciting journey of innovation and opportunity!

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.)

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: Embedded Design Researcher Advanced Robotics Location: Noida Role Overview As an Embedded Design Researcher, you will play a pivotal role in developing cutting-edge embedded systems, integrating firmware and hardware, optimizing performance, and driving innovation through design, testing, and collaboration. You will work as part of the Advanced Robotics team, contributing to groundbreaking projects such as Collaborative Robots, Quadrupeds (Trakr), Remote Ultrasound Solutions, and Bi-Ped Robots all aimed at transforming the future of robotics. Key Responsibilities Design and develop embedded hardware and software solutions, including microcontroller and microprocessor-based systems. Integrate firmware and hardware, ensuring seamless system operation. Conduct research in embedded systems focusing on algorithm development, system optimization, and performance improvements. Design and simulate circuits and PCBs. Integrate hardware components such as sensors, actuators, and communication modules. Develop low-level firmware in C, C++, and Python, with a focus on real-time performance and power optimization. Collaborate with hardware engineers, software developers, and product managers. Document research findings and contribute to technical papers or presentations. Optimize embedded systems for performance, energy efficiency, and real-time responsiveness. Conduct comprehensive testing and validation of embedded systems using automated testing frameworks and debugging tools like oscilloscopes and logic analyzers. Education & Experience PhD or Master's degree in Electrical & Electronics, Electronics & Communication, Instrumentation Engineering, Embedded Systems, Power Electronics, Robotics, or related fields. 2 to 5 years of experience in embedded system design and development. Technical Skills Strong proficiency in C, C++, and Python for embedded development. Experience with RTOS (e.g., FreeRTOS, VxWorks, or Embedded Linux). Hands-on experience with hardware design tools such as Altium, KiCad, or Eagle, along with circuit simulation. Expertise in FOC control, motor drivers, and BLDC motors. Knowledge of communication protocols (I2C, SPI, UART, CAN, Bluetooth, Wi-Fi). Familiarity with embedded boards, sensors, motors, IMUs, and actuators. Experience with embedded development environments (Keil, IAR, Eclipse). Proficiency with version control systems (Git) and issue tracking tools. Knowledge of MATLAB/Simulink for embedded system modeling and simulation. Experience in prototype development and iterative design processes. Qualification : PhD or Master's degree in Electrical & Electronics, Electronics & Communication, Instrumentation Engineering, Embedded Systems, Power Electronics, Robotics, or related fields.

Position Title: Robotics Software Engineer Advanced Robotics Location: Noida Department: Advanced Robotics Employment Type: Full-Time Role Overview We are looking for a passionate and talented Robotics Software Engineer to join our Advanced Robotics team. In this role, you ll work at the forefront of robotics innovation designing and developing advanced software systems that power intelligent, autonomous robots for real-world applications, including warehouse automation and industrial mobility. As part of a multidisciplinary team, you ll help build sophisticated robotics solutions by applying your skills in C++, Python, algorithm development, perception, and motion planning. You ll work closely with experts in embedded systems, mechanical design, and electrical engineering to deliver scalable, production-grade robotics systems. Key Responsibilities Software Development Design, develop, and implement robust software modules in C++ and Python for core robotics functionality (e.g., perception, localization, mapping, navigation). Integrate new components into existing software architecture and ensure rigorous code reviews and unit testing. System Integration & Testing Conduct functional testing and validation of developed software components on real robotic hardware. Collaborate across disciplines (electrical, embedded, mechanical) to troubleshoot and optimize robotic system performance. Algorithm Development & Optimization Develop and maintain efficient algorithms with a focus on real-time performance and accuracy. Write clean, well-documented, and maintainable code aligned with best practices. Cross-functional Collaboration Work closely with product managers, software, and hardware teams to deliver integrated robotics solutions. Ensure effective communication and alignment on timelines, technical requirements, and dependencies. Research & Innovation Stay updated on the latest developments in robotics, machine learning, and control systems. Drive continuous improvement by researching new technologies and methodologies for robotics development. Documentation & Knowledge Sharing Maintain detailed documentation of code, processes, system architecture, and issues to support ongoing learning and future development. Key Skills & Qualifications Bachelor s degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field (Master s degree preferred). 0 4 years of relevant experience in robotics software development or similar domains. Strong proficiency in C++ and Python. Solid understanding of robotics concepts such as SLAM, motion planning, perception, and control systems. Familiarity with ROS (Robot Operating System), Git, and Linux environments is a plus. Practical exposure to hardware testing and debugging robotic systems. Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment. Be part of India s leading robotics company, building world-class automation systems. Work on next-gen robotics platforms including bipedal robots, quadrupeds, cobots, and AMRs. Collaborate with a diverse, intellectual, and innovative team shaping the future of automation. Enjoy a flexible work culture, international exposure, and tremendous learning and career growth opportunities. Qualification : Bachelors degree in Computer Science, Robotics, Electrical/Electronics Engineering, or a related field (Masters degree preferred)

UVM and GenAI Engineer - Automatic Testbench Generation Job Summary: We are seeking an experienced and skilled UVM and GenAI Engineer to join our team. The successful candidate will be responsible for developing innovative solutions using Generative AI to automatically generate testbenches for complex digital designs. The ideal candidate will have a strong background in UVM, digital design verification, and AI/ML. Key Responsibilities: Develop and implement Generative AI algorithms to automatically generate testbenches for digital designs. Collaborate with the design and verification teams to identify areas where AI-generated testbenches can improve verification efficiency and effectiveness. Design, develop, and maintain UVM-based testbenches for complex digital designs. Work with cross-functional teams to integrate AI-generated testbenches into the existing verification flow. Develop and maintain scripts and tools to automate the testbench generation process. Stay up-to-date with the latest developments in UVM, GenAI, and digital design verification. Participate in code reviews and contribute to the improvement of the team's verification methodologies. Requirements: Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field. 6+ years of experience in digital design verification, with a focus on UVM-based testbenches. Strong knowledge of UVM, SystemVerilog, and digital design principles. Experience with AI/ML frameworks and tools, such as PyTorch, TensorFlow, or Keras. Programming skills in languages such as Python, C++, or SystemVerilog. Experience with version control systems, such as Git. Strong problem-solving skills, with the ability to work independently and collaboratively. Nice to Have: Experience with Generative AI algorithms and techniques, such as GANs, VAEs, or Transformers. Knowledge of digital design languages, such as VHDL or Verilog. Experience with cloud-based AI platforms, such as AWS SageMaker or Google Cloud AI Platform. Familiarity with Agile development methodologies. What We Offer: Competitive salary and benefits package. Opportunity to work on cutting-edge AI technology and digital design verification. Collaborative and dynamic work environment. Professional development and growth opportunities. Flexible working hours and remote work options. If you are a motivated and talented individual with a passion for UVM, GenAI, and digital design verification, please submit your resume and a cover letter explaining why you are the ideal candidate for this role. Qualification : Bachelor's/Master's degree in Computer Science, Electrical Engineering, or a related field.

Job Summary: We are seeking a skilled Data Engineer with 2-5 years of industry experience to join our dynamic team. The ideal candidate will have a strong background in data engineering and a keen interest in the drug safety or pharmacovigilance domain. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support our data-driven initiatives. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. Ensure data quality and integrity through rigorous testing and validation. Optimize and tune data processing systems for performance and scalability. Implement data governance and security best practices. Work with large datasets from various sources, including clinical trials, adverse event reports, and other pharmacovigilance data. Develop and maintain documentation for data engineering processes and systems. Qualifications: Bachelor s degree in computer science, Engineering, or a related field. 2-5 years of experience in data engineering or a related role. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle RDBMS). Experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data warehousing solutions (e.g., Redshift, Big Query). Strong programming skills in Python, Java, or Scala. Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of data modeling, ETL processes, and data integration. Experience in the drug safety or pharmacovigilance domain is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Qualification : Bachelors degree in computer science, Engineering, or a related field.

Position Title: Lead Design Engineer R&D Mechanical Location: Noida Department: R&D Mechanical Employment Type: Full-Time Role Overview We are seeking a highly motivated and technically strong Lead Design Engineer R&D Mechanical to join our cutting-edge Advanced Robotics team at our corporate headquarters in Noida. This role is central to designing and developing next-generation robotics products including collaborative robots, quadrupeds (Trakr), remote medical solutions, and bi-pedal robots. You'll contribute directly to redefining the future of robotics by creating innovative, manufacturable, and scalable mechanical solutions. You will play a hands-on role in new product development (NPD), optimization of existing designs, and mentoring junior engineers while collaborating across cross-functional teams to meet performance, quality, and cost goals. Key Responsibilities Product Development & Innovation Initiate and lead new product development based on inputs from Product Management, Sales, and Executive teams. Conceptualize innovative mechanical designs, assess design feasibility, and ensure functionality, durability, and user-centricity. Conduct design benchmarking and competitor analysis, including reverse engineering to drive product differentiation. Mechanical Design & Engineering Prepare detailed 2D and 3D CAD models, engineering drawings, and release BOMs using SolidWorks. Apply the maker-checker concept for design accuracy and maintain quality throughout the design lifecycle. Collaborate with Manufacturing Engineering (ME) and Quality teams to finalize test plans and quality assurance requirements. Respond to design-related queries from stakeholders throughout the product life cycle. Engineering Best Practices Ensure compliance with mechanical standards for strength, deflection, material selection, and finishes. Design electro-mechanical systems, including selection and integration of motors, gearboxes, linear motion systems, and other drive components. Release final CAD designs and documentation into PLM systems post-design approvals. Incorporate Geometric Dimensioning & Tolerancing (GD&T) to ensure manufacturability and precision. Required Skills & Qualifications Bachelor s degree (B.E/B.Tech) in Mechanical Engineering with 60%+ throughout academics. 3 to 8 years of experience in mechanical design, preferably in the automation or robotics industry. Strong experience in machine design for NPD including catalog component selection, fabrication, sheet metal, welding, bending, and machining processes. Proficiency in SolidWorks for 3D/2D modeling. Working knowledge of AutoCAD, Ansys, and Product Lifecycle Management (PLM) systems. Understanding of mechanical stress analysis, material science, and finish standards. Strong communication skills and ability to work across teams. Experience mentoring junior engineers is a plus. Be part of a world-class robotics company at the forefront of automation and advanced mechanical systems. Contribute to industry-defining products that impact healthcare, logistics, and industrial automation. Work in a collaborative, innovation-led culture with global exposure. Accelerate your learning curve in a high-growth, multidisciplinary environment. Qualification : Bachelors degree (B.E/B.Tech) in Mechanical Engineering

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: Business Analyst Team Lead (Lending) Location: Noida, Uttar Pradesh Department: Analytics Lending Employment Type: Full-time About Us Paytm is India s leading mobile payments and financial services company. As a pioneer of the mobile QR payments revolution, we build cutting-edge technologies that empower small businesses through seamless payments and commerce tools. Our mission is to serve 500 million Indians and integrate them into the mainstream economy through innovation and technology. About the Team Our Lending team is rapidly growing, with increasing adoption across Paytm s financial products such as Paytm Postpaid (BNPL), merchant loans, and personal loans. This business is powered by data science and analytics, enabling intelligent, data-driven decision-making and tailored lending solutions for our users. Role Overview We are looking for a dynamic Business Analyst Team Lead to join our Lending Analytics team. In this role, you will lead data-driven initiatives, provide actionable insights, and develop analytical solutions that enhance business decision-making. You will play a key role in shaping Paytm's lending strategy by leveraging advanced analytics to solve complex problems and uncover growth opportunities. Key Responsibilities Lead analytical problem-solving for lending-related business challenges Develop and deploy machine learning models and data-driven solutions Generate business insights through in-depth data analysis and statistical modeling Collaborate with cross-functional teams including product, growth, and risk to align analytics with strategic goals Drive the adoption of analytics and showcase its impact on business performance Mentor junior analysts and help establish best practices for data-driven decision-making Requirements & Qualifications 2 6 years of experience in analytics within consulting, fintech, or BFSI domains Bachelor s or Master s degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative discipline Strong hands-on experience with analytics tools such as Python/R, SQL, big data platforms, and data visualization tools Proficient in machine learning, data modeling, statistical techniques, and data management Proven ability to structure complex problems and derive strategic insights Experience building and scaling analytics functions in a business environment Excellent communication and storytelling skills with the ability to present findings to senior stakeholders Self-motivated, impact-oriented, and comfortable working in fast-paced environments Work in a collaborative, results-driven environment that emphasizes innovation and ownership Opportunity to drive real impact in one of India s fastest-growing lending businesses Improve customer engagement and maximize revenue opportunities through smart analytics Gain 360-degree feedback and support from peer teams and leadership Be part of a culture where respect is earned, and merit is recognized Qualification : Bachelors or Masters degree in Statistics, Economics, Engineering, Mathematics, or a related quantitative discipline

Position: Deputy Manager Risk Management (Fraud Analytics) Location: Noida, Uttar Pradesh Department: Analytics Risk Operations (Offline Payments) Employment Type: Full-time About Paytm Paytm is India s leading mobile payments and financial services distribution company, and the pioneer of the mobile QR payments revolution. Our mission is to serve 500 million Indians and integrate them into the formal economy through cutting-edge technology that empowers small businesses and consumers alike. About the Team The Risk Analytics team plays a critical role in safeguarding the integrity of Paytm's ecosystem. We focus on proactive fraud detection, building robust risk controls, and driving strategic decision-making through data insights. Every challenge is an opportunity here and meaningful change starts with our people. With 500+ million registered users and over 21 million merchants, Paytm offers unmatched data depth and scale. This is your opportunity to be part of India s largest digital lending transformation. If you're passionate about creating impact, building scalable risk frameworks, and working in a fast-paced fintech environment this is the place for you. Role Overview As Deputy Manager Fraud Analytics, you will be instrumental in developing and managing fraud prevention strategies across Paytm s payment platforms. You ll support real-time fraud monitoring, rule configurations, analytics, and compliance. This role works closely with stakeholders across Risk Ops, Engineering, Product, and Compliance. Key Responsibilities Develop and optimize fraud detection models using rule-based and data-driven approaches Monitor real-time transactions to identify suspicious activity; escalate issues and recommend corrective actions Configure and fine-tune rules in fraud monitoring systems to reduce false positives and improve accuracy Analyze transaction patterns and fraud trends to preemptively address vulnerabilities Collaborate with internal teams (Risk, Product, Compliance) to align fraud mitigation with business goals Support regulatory compliance and internal control projects in accordance with RBI guidelines Generate periodic reports and dashboards for senior management on fraud insights and emerging risks Assist in audit responses and handle fraud-related queries from regulatory bodies Drive continuous improvement in fraud detection tools, techniques, and operational processes Required Qualifications & Skills Bachelor s degree in Data Analytics, Risk Management, Statistics, or a related field 4 8 years of experience in fraud analytics, risk management, or payments risk in fintech or BFSI Strong knowledge of fraud detection techniques and transaction monitoring systems Experience in configuring fraud rules and analyzing fraud patterns in high-volume environments Familiarity with RBI regulatory frameworks and guidelines governing payment platforms Excellent analytical and problem-solving skills Strong verbal and written communication skills, with the ability to present insights to both technical and non-technical teams Experience working with UPI, wallets, or other real-time payment systems Preferred Skills Exposure to machine learning models for fraud detection Experience in licensed TPAP (Third Party App Provider) setups Understanding of regulatory audits, compliance standards, and fraud risk reporting in a regulated environment What You ll Get A chance to be part of India s largest digital lending story Fast-paced, high-impact role in a leading fintech organization Opportunity to create tangible value for millions of users and merchants A collaborative, meritocratic culture that rewards performance Competitive compensation and career growth potential Join us on our mission to redefine financial inclusion in India. Be a part of something transformative. Be a part of Paytm. Qualification : Bachelors degree in Data Analytics, Risk Management, Statistics, or a related field

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