9 Realtime Processing Jobs

You should have a Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or a related field with 15 years or more of relevant experience. It is essential to possess experience in use-case analysis and decomposition, as well as proficiency in Linux, Zephyr, Free RTOS, or similar operating systems. A strong understanding of microprocessor and microcontroller architectures, including CPU cores, DSP, memory management, and peripheral integration is required. Additionally, experience in system-level performance optimization, low-power design, SW/HW co-design, and real-time processing is necessary. Familiarity with high-speed interconnects, memory architectures, DDR, PCIe, and bus protocols is also important. Strong collaboration skills are crucial for working across multidisciplinary teams, including silicon, software, hardware, board design, and validation engineers. It is expected that you have experience in product development processes. Preferred qualifications include experience with ARM Cortex and/or RISC-V architecture, media processing, vision and imaging applications, and system-level simulation tools. Familiarity with hardware/software co-design, debugging techniques, Machine Learning Hardware IPs, tools, and architecture is advantageous. Knowledge of functional safety and security standards, as well as Wi-Fi integration, networking protocols, and secure wireless communication, would be beneficial.,

As a Data Engineer, you will play a crucial role in designing and developing business-critical backend systems using stream processors and high-quality data pipelines. Your responsibilities will include assembling large, complex data sets to meet both functional and non-functional business requirements. You will be tasked with building the necessary infrastructure for optimal extraction, transformation, and loading of data from various sources using SQL and Azure "big data" technologies. Additionally, you will be responsible for constructing a cloud-native, real-time stream processing and data lake platform that can scale into the Zettabytes and beyond. Developing a data pipeline to offer actionable insights into customer acquisition, operational efficiency, and other vital business performance metrics will also be a key part of your role. Automation of data pipelines using DevOps tools will be expected from you. In this position, you will need to perform root cause analysis on both external and internal processes and data to identify opportunities for improvement. Building processes that support data transformation, workload management, data structures, dependency, and metadata will be essential. Being adaptable to change and always open to adopting better technologies will be crucial in this role. Collaborating with stakeholders to design and code large-scale batch and real-time data pipelines on Azure will be a part of your daily routine. You will also be expected to conduct code reviews and lead by example on code refactoring for readability, extensibility, and testability. Requirements: - A bachelor's degree in computer science or equivalent - Minimum of 4 years of experience as a Data Engineer - Proficiency in Azure big data tools such as Azure Databricks, Azure Synapse, HDInsight, and ADLS - Experience with relational SQL and NoSQL databases - Strong problem-solving and analytical skills in handling structured and unstructured datasets using Azure big data tools - Familiarity with data pipeline and workflow management tools like ADF and Logic Apps - Hands-on experience with Azure cloud services including VM, Azure Databricks, Azure SQL DB, and Azure Synapse - Knowledge of stream-processing systems such as Azure Streams - Proficiency in scripting languages like Python and strong expertise in developing Python notebooks. This role will offer you the opportunity to work on cutting-edge technologies and make a significant impact on the business by enabling data-driven decisions and insights.,

The Technical Lead AI, Embedded & Edge Systems is responsible for leading cross-functional engineering efforts in the design, development, and integration of AI-powered solutions across embedded hardware, edge/server devices, system software, and infrastructure components. This role involves bridging hardware-software co-design, system architecture, and execution leadership to ensure the delivery of scalable, high-performance, and secure computer vision, artificial intelligence, and robotics products. The key responsibilities of this role include leading end-to-end system design covering embedded hardware, edge/server platforms, and AI model integration. It also involves defining scalable and secure architectural frameworks for hardware-software interoperability, real-time processing, and data flow. Additionally, the Technical Lead will architect and develop embedded hardware systems for edge and server products, supervise schematic reviews, PCB design validation, and bring-up of edge devices aligned with AI/CV use cases. Furthermore, the Technical Lead will coordinate with ML engineers to deploy and optimize computer vision models on heterogeneous hardware and support model quantization, inference optimization, and real-time processing strategies on edge platforms. They will also oversee the development of core applications, services, middleware, and utilities on both embedded and server systems, ensuring fault-tolerant, modular, and interoperable implementations across deployment environments. In terms of infrastructure, the Technical Lead will recommend compute, storage, and networking infrastructure for on-prem, hybrid, or cloud deployments based on application demands. Collaborating with DevOps and infra teams to establish deployment pipelines, configuration profiles, and monitoring strategies is also part of the responsibilities. Team leadership and mentorship are essential aspects of this role, where the Technical Lead will lead and mentor a team of embedded engineers, application developers, and integration specialists. Conducting technical reviews, guiding debugging sessions, and promoting engineering best practices are key elements of team leadership. Effective communication and negotiation with product managers, architects, QA, and peers in other organizations to ensure aligned development and seamless integration is also crucial. Preferred skills for this role include a Bachelor's or Master's degree in Electronics, Electrical, Computer Engineering, or a related field, with at least 5 years of product development experience, preferably with embedded systems design and systems programming. Strong expertise in embedded systems, circuit design, board bring-up, and firmware development is required, along with proficiency in Python, C/C++, and system-level programming with real-time constraints. Hands-on experience with edge AI deployment frameworks, embedded Linux, and driver development is also preferred. Preferred attributes for this role include experience working on mission-critical or real-time AI/CV products, the ability to navigate between low-level hardware issues and high-level application architecture, strong documentation, communication, and team coordination skills, and exposure to regulatory or compliance-heavy product domains. This is a full-time permanent position that requires in-person work.,

You will be joining Programming.com, a global enterprise specializing in next-gen digital solutions to drive agility, efficiency, and impact. With over 22 years of experience and a team of 2200+ tech experts across multiple delivery hubs worldwide, we have successfully completed more than 1000 projects in various industries. Our key competencies include AI & Machine Learning, Digital Transformation, Cloud Enablement, Custom Applications, and Blockchain solutions, leading to significant operational cost reductions and faster time-to-market for our Fortune 500 clients. As a Kafka Developer with over 10 years of experience, you will play a crucial role in designing, developing, and maintaining Kafka solutions for real-time data processing and integration. Based in Noida, your responsibilities will include collaborating with software development teams, ensuring seamless data flow, optimizing Kafka clusters, and troubleshooting any issues. You will also contribute to the architecture and strategy of data pipelines, ensuring high performance, resilience, and scalability of systems. To excel in this role, you should possess a strong background in Computer Science and Programming, proficiency in Back-End Web Development, and expertise in Object-Oriented Programming (OOP). Experience with Kafka, data streaming, and real-time processing is essential, along with proven teamwork skills, problem-solving abilities, and analytical thinking. A Bachelor's or Master's degree in Computer Science or a related field is required, and prior experience in the technology or enterprise industry would be advantageous. Join us at Programming.com and be part of "Programming the future" of the tech revolution.,

You should have a minimum of 4 years of product management experience, with a preference for experience in financial systems or incentives/rewards platforms. Experience in leading cloud migration or modernization projects is required, preferably on Google Cloud Platform (GCP). A strong understanding of batch and real-time processing, data reconciliation, and financial controls is essential. Having exceptional communication skills is crucial for this role, as you will need to simplify and explain complex systems to both technical and non-technical audiences. A proven track record of collaborating across cross-functional teams to deliver impactful, user-centric solutions is highly valued. Technical know-how to understand the complexities involved in a platform migration is also necessary for this position.,

You are a highly skilled and motivated Lead Data Scientist / Machine Learning Engineer sought to join a team pivotal in the development of a cutting-edge reporting platform. This platform is designed to measure and optimize online marketing campaigns effectively. Your role will involve focusing on data engineering, ML model lifecycle, and cloud-native technologies. You will be responsible for designing, building, and maintaining scalable ELT pipelines, ensuring high data quality, integrity, and governance. Additionally, you will develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experimenting with different algorithms and leveraging various models will be crucial in driving insights and recommendations. Furthermore, you will deploy and monitor ML models in production and implement CI/CD pipelines for seamless updates and retraining. You will work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translating complex model insights into actionable business recommendations and presenting findings to stakeholders will also be part of your responsibilities. Qualifications & Skills: Educational Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience. - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray). Location: - Bengaluru Brand: - Merkle Time Type: - Full time Contract Type: - Permanent,

As a Senior Azure Cloud Data Engineer based in Bangalore, you will be instrumental in the processing and analysis of IoT data derived from our connected products. Your primary objective will be to provide valuable insights to both our internal teams and external clients. Your core responsibilities will include the development and maintenance of scalable and high-performance analytical data solutions leveraging Azure cloud technologies. With 3+ years of experience in Azure Analytics tools such as Data Factory, Synapse, and Event Hubs, you will possess strong proficiency in SQL, Python, and PySpark. Your expertise will extend to ETL/ELT processes, data streaming utilizing Kafka/Event Hubs, and handling unstructured data. A sound understanding of data modeling, data governance, and real-time processing will be crucial in this role. Apart from technical proficiencies, you will demonstrate soft skills such as a strong analytical and problem-solving mindset, exceptional verbal and written communication skills, and the ability to work effectively both independently and as part of a team. Your attention to detail, quality-focused approach, organizational abilities, and multitasking skills will be key to success in this role. Furthermore, your adaptability to a fast-paced and evolving environment, coupled with a self-motivated and proactive attitude, will be highly valued. If you are seeking a challenging opportunity to work in a dynamic environment that encourages innovation and collaboration, this position is ideal for you. Join our team and be part of a forward-thinking organization dedicated to leveraging cutting-edge technologies to drive impactful business outcomes.,

Job Description: As a Senior Azure Cloud Data Engineer based in Bangalore with a hybrid working model, you will have a pivotal role in processing and analyzing IoT data generated by our connected products. Your primary objective will be to derive meaningful insights from this data to cater to the needs of both our internal teams and external clients. Your core responsibilities will revolve around the creation and upkeep of scalable, high-performance analytical data solutions utilizing Azure cloud technologies. Key Skills: With a minimum of 3 years of hands-on experience in utilizing Azure Analytics tools such as Data Factory, Synapse, and Event Hubs, you will be well-versed in these technologies. Proficiency in SQL, Python, and PySpark is essential for this role. Your expertise should also extend to ETL/ELT processes, data streaming technologies like Kafka/Event Hubs, and handling unstructured data. A sound understanding of data modeling, data governance, and real-time data processing is crucial. Familiarity with DevOps practices, CI/CD pipelines, and Agile methodologies will be an added advantage. Soft Skills: A strong analytical acumen coupled with exceptional problem-solving skills will be key strengths in this role. Your communication skills, both verbal and written, should be exemplary. The ability to work autonomously as well as collaboratively within a team is vital. Being detail-oriented and quality-focused is a must for delivering accurate and efficient results. Your organizational skills and adeptness at multitasking will aid in managing various responsibilities effectively. The capacity to adapt swiftly in a dynamic and fast-paced environment is essential. A self-driven and proactive approach towards tasks will be highly beneficial in excelling in this role.,

You should have a B.Tech, M.Tech, or higher degree in Computer Engineering, Computer Science, Electronics, Robotics Engineering, or related fields. Your written and verbal communication skills should be strong, and you should possess excellent problem-solving abilities. Proficiency in C++ for robotics and machine perception, along with knowledge in data structures and algorithms, is required. Extensive experience with OpenCV, PCL, and ROS2 is essential. You should be well-versed in Modern C++ with a deep understanding of features like RAII, STL, templates, etc. Experience in implementing Deep Learning Algorithms on GPU cluster for tasks like object detection and segmentation is necessary. Familiarity with Unix/Linux environments is a must, and you should be capable of developing software for real-time processing of sensor data from cameras, LIDAR, and other sensors. Your responsibilities will include building robust solutions to cutting-edge Autonomous driving problems and developing advanced algorithms for tasks like object detection, tracking, multi-task learning, distributed training, and multi-sensor fusion. Experience with developing production-ready software is a plus, along with maintaining large-scale libraries and working with parallel computing libraries like TBB and CUDA. Additional desirable qualifications include familiarity with linear algebra libraries such as Eigen, machine learning, software version management tools like Git, and agile development workflows and CI/CD processes.,