8 Realtime Jobs

As a Lead Engineer, you will be responsible for designing and developing applications in C++ on the Windows environment. Your key duties will include involvement in requirement analysis, design, coding, and testing. You will need to understand and learn the architecture and design of existing applications primarily developed using C++. Taking ownership of assigned tasks related to new feature implementations, bug fixes, and enhancement activities is crucial. It is essential to document projects according to project standards, including architecture and technical specifications. You will be required to engage in technical communication with both internal and external stakeholders. Working independently and collaborating with your immediate team, architects, and other leads is expected. Additionally, you should be capable of leading and mentoring teams of up to 5 members. In terms of work experience, you should have a minimum of 5-8 years of experience as a lead engineer developing applications on Windows. A minimum of 5 years of experience in developing applications using C++ is necessary. Proficiency in programming and debugging skills in C++ for Windows, a strong grasp of OOPs concepts, and a solid understanding of design patterns are essential. Knowledge of multi-threading, real-time systems, and high-performance applications is required. You should be able to write effective and reusable code following best practices. Excellent communication, presentation, and customer interfacing skills are crucial. Desirable skills for this role include knowledge in the Healthcare Domain, COM, experience in C#, knowledge of SQL Server, the ability to navigate large code bases to understand architecture and design, and the capability to deliver results with minimal supervision from leads or managers.,

We are looking for a Senior Backend and Infra Engineer that will work on a variety of exciting projects with responsibility for designing and delivering secure, distributed, scalable and fault tolerant services, end-user applications and APIs. In this role, you will have an opportunity to use your engineering expertise & leadership in the delivery of cloud-hosted (AWS) SaaS systems. You will work on complex, event driven services adhering to agile engineering practices and processes with a strong focus on automation. You should be motivated, organized, excited about technology and SaaS products, a thorough critical thinker, and relentless when it comes to code quality, scalability, latency, and platform stability. Our culture is motivational, constructive, and positive. We value teamwork, camaraderie, and collaboration. If youre up for a fun challenge, we want to hear from you! Responsibilities: Work with architects and other stakeholders on polishing requirements, suggest technical solutions, and provide feasible estimates Transfer requirements into implementation that is focused on efficiency and quality Be an owner of solutions implemented, actively support them from the proof of concept through production deployment Focus not only on development but on running software in production. Be proactive in defining monitoring/alerting specifications, enhancing observability and traceability of all production flows Provide mentorship to junior team members, become a center of competence on every part of the product you contribute to Participate in code reviews and other efforts to maximize quality of Engage products Qualifications: Bachelor's degree in Computer Science, Engineering or a related field or equivalent, is required 8+ years in an engineering software development role building backend services and APIs Proven track record in delivery of event-driven, highly available, scalable, resilient enterprise grade commercial cloud services. Proficiency in developing Java applications. Advanced knowledge of Java Core, Collections, Multithreading & J ava Memory Model, Garbage collection Deep understanding of micro services architecture paradigm, event driven system design, distributed systems, eventual consistency principles Experience developing REST services: REST manifesto, stateful/stateless services, load balancing strategies Strong RDBMS skills: writing advanced queries, designing table structure / indexes / triggers, query, optimization / query plan analys i s Experience with at least one public cloud platform, preferable with AWS Hands on experience in K8S: kubectl, K8S types, Helm Hands-on experience with Big Data technologies Familiarity with Cloud based CI/CD methodologies. Hands on experience deploying applications using Kubernetes Experience with at least one public cloud platform, preferable with AWS Experience working with Kafka or other messaging queues

As a Technical Consultant fluent in English and either Japanese or Mandarin at our organization, you will be leveraging your expertise in deploying and configuring SAS technologies to deliver high-quality outputs to our valued customers. Your role will involve understanding and utilizing best practices, supporting sales opportunities, contributing to technical documentation, and maintaining a thorough knowledge of SAS technologies. You will collaborate with others on consulting projects, conduct requirements gathering sessions, and lead knowledge transfer sessions as needed. We are seeking Technical Consultants with skills in Data Integration, Solutioning, or Decisioning. The ideal candidate should possess analytical and problem-solving skills in these areas, ensuring high levels of customer satisfaction throughout the consulting and implementation services. The required qualifications for this position include the ability to speak fluently in English and either Japanese or Mandarin, as well as a Bachelor's degree preferably in Business, Computer Science, or a related field. Depending on your specialization, you will be expected to have specific knowledge and experience in areas such as Data Integration, Solutioning, or Decisioning. For Data Integration, you should be knowledgeable in designing and developing ETL/ELT pipelines, data modeling, SQL, creating interactive dashboards, data quality, data governance, master data management, and integration with various data sources. For Solutioning, you should have knowledge and experience with SAS Solutions, solution implementation, and the ability to map customer requirements to SAS solutions effectively. For Decisioning, you should have experience modeling in SAS or other analytical tools, knowledge of SAS Intelligent Decisioning tool, automation of operational decisions, real-time decision processing, integration with REST APIs and event streams, what-if analysis, real-time monitoring, anomaly detection, and advanced statistical analysis concepts. At our organization, diversity and inclusion are integral to our culture. We value the unique talents that each individual brings to the table and strive to create software that reflects the diversity of our users and customers. We believe that diversity drives innovation and are committed to fostering an inclusive environment where everyone feels welcome and valued. Please note that SAS only sends emails from verified sas.com email addresses and never asks for sensitive personal information or money. If you have any doubts about the authenticity of communication from SAS, please contact Recruitingsupport@sas.com.,

Role & responsibilities We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a passion for building and optimizing robust data pipelines, managing real-time data flows, and developing solutions that drive data-driven decision-making. If you thrive in a fast-paced environment and are eager to tackle complex data challenges, we want to hear from you! Role and Responsibilities: Design, develop, and maintain scalable and high-performance ETL/ELT pipelines for batch and real-time data processing from diverse sources. Develop and implement APIs and webhooks for seamless and secure data ingestion and consumption by various internal and external systems. Champion real-time data management strategies, including stream processing, ensuring low latency and high availability of data for critical applications. Utilize advanced Python programming skills (including asynchronous programming and custom library development) to build efficient data transformation, validation, and enrichment logic. Work extensively with cloud platforms (preferably AWS) to architect and manage data infrastructure, including services like AWS Kinesis/Kafka, Lambda, Glue, S3, Redshift/Snowflake, and API Gateway. Implement and manage data warehousing solutions, ensuring optimal performance and accessibility for analytics and reporting. Develop and maintain robust data quality frameworks and monitoring systems to ensure data accuracy, completeness, and consistency across all pipelines. Optimize existing data workflows and database queries for enhanced performance and efficiency, aiming for significant improvements in data processing times and resource utilization. Collaborate with data scientists, analysts, software engineers & business stakeholders to understand data requirements and deliver effective data solutions. Implement data governance and security best practices to ensure data is handled responsibly and in compliance with relevant regulations. Contribute to the design and implementation of data models for both transactional (OLTP) and analytical (OLAP) systems. Explore and integrate new data technologies and tools to enhance our data capabilities. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 2-5 years of hands-on experience as a Data Engineer or in a similar role. Expert proficiency in Python for data engineering tasks (e.g., Pandas, PySpark, data manipulation libraries) and experience with software development best practices (version control, testing, CI/CD). Proven experience in designing, building, and deploying real-time data pipelines using technologies like Kafka, AWS Kinesis, Apache Flink, or similar. Strong experience in creating, deploying, and managing RESTful APIs and webhooks for data exchange, with a focus on security and scalability. In-depth knowledge of SQL databases (e.g., PostgreSQL, MySQL, Mongo DB, Dynamo DB). Hands-on experience with cloud data services (AWS, Azure, or GCP) . Specific AWS experience with Glue, Lambda, S3, EC2, RDS, and API Gateway is highly desirable. Solid understanding of data warehousing concepts, ETL/ELT processes, and data modelling techniques. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is a plus. Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment. Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Knowledge of machine learning concepts and MLOps. Contributions to open-source data engineering projects. Relevant certifications (e.g., AWS Certified Data Analytics Specialty, AWS Certified Solutions Architect).

As a Senior CV Engineer at our esteemed client, a Series-A funded deep-tech company in Gurugram specializing in AI Product industry, you will be responsible for leading the design and implementation of complex CV pipelines including object detection, instance segmentation, and industrial anomaly detection. Your role will involve owning major modules from concept to deployment to ensure low latency and high reliability of the system. You will be expected to transition algorithms from Python/PyTorch to optimized C++ edge GPU implementations using technologies like TensorRT, ONNX, and GStreamer. Collaboration with cross-functional teams to refine technical strategies and roadmaps will be a key part of your responsibilities. Additionally, you will drive long-term data and model strategies such as synthetic data generation and validation frameworks. Mentoring engineers and upholding high engineering standards will also be a crucial aspect of this role. To be successful in this position, you should have a minimum of 6-10 years of experience in architecting and deploying CV systems. Expertise in multi-object tracking, object detection, and semi/unsupervised learning is essential. Proficiency in Python, PyTorch/TensorFlow, Modern C++, CUDA, and experience with real-time, low-latency model deployment on edge devices are required skills. Strong systems-level design thinking across ML lifecycles and familiarity with MLOps (CI/CD for models, versioning, experiment tracking) are also expected. A Bachelors/Masters degree in CS, EE, or related fields with strong ML and algorithmic foundations is necessary for this role. Preferred qualifications include experience with NVIDIA DeepStream, GStreamer, LLMs/VLMs, and open-source contributions. If you are passionate about cutting-edge technology and have a drive for innovation, this position offers an exciting opportunity to work on a first-of-its-kind app-based operating system for Computer Vision.,

You are looking for a Data Scientist specializing in NLP and conversational AI to join a core team that focuses on real-time voice intelligence. In this role, you will be responsible for building systems that involve intent detection, generative reasoning, and speech/audio insights to develop responsive and persuasive AI callbots. This position is suited for individuals who excel in applied NLP and voice technology and are passionate about creating scalable AI systems that are natural and human-like. As a Data Scientist specializing in NLP & Conversational AI, you will be based in Gurugram and should have at least 2 years of experience. This is a full-time position where you will work collaboratively with the engineering teams to deploy NLP models in real-time inference systems. Your responsibilities will include building and refining models for intent recognition, speech act classification, and response routing. Additionally, you will design lightweight NLP classifiers and heuristics to optimize LLM usage, and enhance conversational dynamics using various techniques such as turn-taking prediction and pause detection. To excel in this role, you should have proficiency in NLP frameworks such as HuggingFace Transformers, spaCy, NLTK, fastText, and Sentence Transformers. Familiarity with ML libraries like scikit-learn, PyTorch, TensorFlow, and LightGBM is essential. Experience in audio signal processing techniques like MFCCs, VAD, filler detection, and silence segmentation would be beneficial. Knowledge of real-time or low-latency model design, RAG pipelines, dialog state management, dialogue act tagging, and conversational UX design is also required. Preferred or bonus skills that would be advantageous include familiarity with Whisper, Coqui, Bark, or other open-source STT/TTS models, prompt engineering, LLM optimization, and experience with streaming inference architectures or edge AI. Exposure to hybrid response generation systems and the use of experiment tracking tools like MLflow or Weights & Biases would be a plus. The ideal candidate should be comfortable working in fast-paced and ambiguous environments, possess startup or early-stage product experience, and showcase a strong applied portfolio with GitHub repositories, notebooks, demos, or a track record in Kaggle/NLP competitions. Additionally, having an eagerness to develop production-ready, real-time ML features along with qualities like curiosity, creativity, and a collaborative mindset are highly valued for this role.,

As a Technical Sales Specialist/ Manager at Imperial Life Science Ltd for the west region, you will play a vital role in promoting and selling the molecular biology and genomics portfolio. Your primary responsibilities will include working closely with customers from various sectors such as Academia, laboratories, hospitals, molecular diagnostic labs, forensic labs, agriculture institutes, veterinary customers, Pharma/Biopharma customers, among others. You will be accountable for business planning, forecasting, and achieving revenue objectives. It will be your responsibility to not only meet but exceed sales targets by developing tactical plans to maximize business and revenues. You will drive the development of new business opportunities, increase strategic partnerships, and maintain strong relationships with key opinion leaders and stakeholders. In this role, it is crucial to expand, maintain, and develop relationships with key customers and references. You will execute outbound marketing plans to meet sales and revenue goals within the genomics and molecular biology division. Providing accurate forecasts and maintaining data management diligence within internal operating guidelines are essential aspects of this position. To be successful in this role, you must possess excellent communication skills to engage with scientists from diverse backgrounds effectively. Problem-solving, strategic thinking, and time management skills are vital for territory management and business growth. Your customer-oriented approach, enthusiastic attitude, and strong work ethics will be key to your success. The ideal candidate should have a minimum of a Master's degree in Life Science or a related field, along with 5-7 years of experience in successful sales within the Life Science domain. A good understanding of the sales territory, instrumentation business, Life Science market, Diagnostics market, or a specialist area is required. Experience in managing sales teams and territories, as well as handling instrument sales like NGS, Microarray, Real-time, and automation solutions, will be advantageous. This role will require extensive travel, with a commitment of more than 70%. If you are a driven professional with a passion for sales and a strong background in Life Science, we encourage you to apply for this challenging and rewarding opportunity at Imperial Life Science Ltd.,

Job description Role: Real Time Analyst Designation: Associate Location: Chennai (Ambit IT Park) Shifts: Flexible to work in Night Shifts Work Model: Work From Office Looking for immediate joiners only Skills: Proficient in Excel. Strong analytical skills. Ability to prioritize and multitask. Strong interpersonal skills to build and foster stake holder relationships Excellent written and verbal communication skills. Proactive issue resolution skills and process improvement. Ability to positively interface with the Clients. In-depth knowledge of Project SLA metrics applicable to WPO KPI: Real time queue management Idle management. Shrinkage management. Meet Project SLA. Provide RCA. Reporting Accuracy & Timeliness (Project & Associate Level). Accurate and Timely Exception Processing on IEX/EWFM. Client Escalation would be a Negative marker