We are seeking an exceptional Senior NLP Engineer to join our cutting-edge AI/ML team. In this role, you will leverage your deep expertise in natural language processing, large language models, and retrieval-augmented generation to develop and optimize innovative NLP applications. Responsibilities: Design, develop, and deploy state-of-the-art NLP solutions utilizing LLMs and RAG architectures. Implement and optimize vector databases for efficient retrieval and augmentation of LLM-based systems. Collaborate with cross-functional teams to identify and address complex NLP challenges. Stay at the forefront of NLP research and apply latest techniques to enhance our AI/ML applications. Mentor junior engineers and contribute to the growth and knowledge sharing within the team. Requirements: Bachelor or Masters in Computer Science, NLP, ML or related field 2+ years of experience in developing NLP applications, (expertise in LLMs and RAG would be a plus) Strong understanding of transformer architectures, few-shot learning, and prompt engineering. Hands-on experience with NLP frameworks like Hugging Face, spaCy, NLTK, AllenNLP, etc. Proficiency in Python, PyTorch, TensorFlow and familiarity with C++/CUDA for optimization Experience with vector databases like Pinecone, Weaviate, Milvus for building RAG systems. Excellent problem-solving skills and ability to design efficient, scalable NLP pipelines. Strong communication skills and ability to collaborate in a fast-paced environment. Preferred Qualifications: Experience with deploying NLP models in production using AWS, GCP or Azure Knowledge of MLOps best practices and tools like MLflow, Kubeflow, AWS SageMaker Education UG: B.Tech/B.E. in Information Technology, Computers PG: M.Tech in Any Specialization, MS/M.Sc(Science) in Computers

Requirement: -Must have Hands-on experience with Embedded C, C/C++ -Design, Development, Testing, and Memory Configuration of real-time RADAR algorithms in SoC -Experience in porting radar processing algorithms from PC/Matlab to DSP platforms -Knowledge of ARM cores, DSP cores, IDE (CC STUDIO, Xtensa), RTOS -Knowledge of protocols like SPI, I2C, UART, and socket communication. -Knowledge of version control systems (git) and build systems like Makefile and CMake -Strong problem-solving skills, analytical thinking, and attention to detail. -Excellent communication skills and ability to document and present findings. Good to have: -Hands-on Matlab Python -Knowledge of detection, estimation, tracking -Familiarity with machine learning model integration in embedded environments Qualifications: -B.E/M.E in Computer Science/ Electronics / Signal Processing -Minimum > 4 years experience in RADAR algorithm development

We are currently looking for bright Video Deep learning talent who have 4-5 years of industry experience, working on problems related to the Video AI space. The ideal candidate will be proficient in implementing and optimizing ML/DL/AI models, particularly for video and image processing, while also having a deep understanding of encoding and decoding algorithms. If you are passionate about advancing multimedia technologies and have hands-on experience with deep learning and video compression standards, we encourage you to apply. As part of our team, you will work on cutting-edge projects in video and image compression, activity detection, object detection, and related areas. You will be responsible for implementing, tuning, and evaluating ML/DL models h, optimizing performance, and applying your expertise in compression algorithms to improve encoding/decoding efficiency. Minimum Qualifications: Strong C++ programming skills (C++11 & above, STL) Execution of ML/DL/AI models on PyTorch or any other FraMework, loss and performance analysis, regression tracking Good understanding of Deep Learning concepts (model parameters, tuning of models, optimizers, learning rates, attention mechanisms, masking etc). Thorough understanding of deep learning implementations of activity detection or object detection. Expertise in video and image compression standards (such as H.264, HEVC, AV1, JPEG) and relevant encoding/decoding algorithms. Proficiency in using quality metrics such as SSIM, PSNR to evaluate encoding/decoding performance. Experience with hardware acceleration techniques in multimedia processing is a plus Expertise in numeric analysis, loss/accuracy, and performance debug in validation environment Solid development experience (git, cmake, gdb, strace, shell, etc.) in Unix-like (Linux) environment. The candidate must be able to identify and debug system issues Proficiency in Version control tools like GIT, GITlab, Gerrit Reviews Experience with the Agile/Scrum processes through the entire SDLC: software design, coding, unit test, integration test, build and release. Preferred Qualifications: Good Understanding of DALI / FFMPEG / gstreamer encoding, decoding and pre-processing functions. Knowledge of deployment tools like Triton inference server or Ray is a plus.

Design, develop, and debug Windows device drivers using WDM and WDF frameworks. Perform remote debugging and troubleshoot drivers effectively, utilising tools to ensure high performance and stability. Collaborate with hardware teams to ensure proper integration and performance of drivers on ARM64 architecture. Apply knowledge of system registers in ARM and handle other low-level architecture-specific tasks. Skills Required Proficiency in C and C++ Strong experience with WDM, WDF, UMDF, KMDF Windows 11 driver development expertise Strong debugging skills, including remote debugging of Windows drivers Ability to port the driver functionality, features from other OS to Windows Good understanding of ARM64 architecture and system registers in ARM Excellent problem-solving abilities, attention to detail and quality deliverables Preferred experience Previous experience working with cross-functional teams on HW & SW integration. Signing of kernel modules and deployment Experience with version control systems (eg, Git) and modern software development practices. Linux and/or other OS/RTOS device driver experience.

Job DescriptionDeveloping a software pipeline for end-to-end ML Model Inference for specific hardware accelerator by achieving maximum performance & accuracy. Implementing cutting edge deep learning layers for various model categories like CNN, RNN, LSTM, GANs, etc using customized inference pipeline for NN Processor. Hardware architecture aware and computation conscious implementation of solutions in an embedded device and maximize the throughput. Develop tools and applications by producing clean, efficient code. Identify, prioritize and execute tasks based on requirement. Implementation, Review, Debug code, Product Delivery and quick turn arounds. Collaborate with team to brainstorm and create new products. Mentor fresh joiners and foster team culture.Must-Have BE/BTech/MS/MTech graduates with Computer science Engineering with 5+ yrs of experience. Solid programming experience in C/C++ with proven experience as Senior Software Engineer. Experience in implementing kernel intrinsics for Machine Learning or Computer Vision algorithms with a focus on optimization. Extensive experience in software development and project management. Strong analytical and problem-solving skills. Adaptable to execute complex tasks, under tight schedules and dynamic conditions. Familiarity with various operating systems (Linux, Mac OS, Windows). Ability to work independently and manage a team. Excellent organizational and leadership skills. Working knowledge on Deep Learning frameworks (Like ONNX, TensorFlow, PyTorch or Any Hardware Accelerator Software Pipeline Experience).Nice-to-Have Knowledge in Python. Experience in managing team size of 5 or more. Experience Working in an Agile Environment. Experience in using automated testing frameworks.

Job Title: NLP EngineerJob Location: Chennai / CoimbatoreExperience: 2+ yearsJob Type: Full-TimeWe are seeking an exceptional Senior NLP Engineer to join our cutting-edge AI/ML team. In this role, you will leverage your deep expertise in natural language processing, large language models, and retrieval-augmented generation to develop and optimize innovative NLP applications.Responsibilities:Design, develop, and deploy state-of-the-art NLP solutions utilizing LLMs and RAG architectures.Implement and optimize vector databases for efficient retrieval and augmentation of LLM-based systems.Collaborate with cross-functional teams to identify and address complex NLP challenges.Stay at the forefront of NLP research and apply latest techniques to enhance our AI/ML applications.Mentor junior engineers and contribute to the growth and knowledge sharing within the team.Requirements:Bachelor or Masters in Computer Science, NLP, ML or related field2+ years of experience in developing NLP applications, (expertise in LLMs and RAG would be a plus)Strong understanding of transformer architectures, few-shot learning, and prompt engineering.Hands-on experience with NLP frameworks like Hugging Face, spaCy, NLTK, AllenNLP, etc.Proficiency in Python, PyTorch, TensorFlow and familiarity with C++/CUDA for optimizationExperience with vector databases like Pinecone, Weaviate, Milvus for building RAG systems.Excellent problem-solving skills and ability to design efficient, scalable NLP pipelines.Strong communication skills and ability to collaborate in a fast-paced environment.Preferred Qualifications:Experience with deploying NLP models in production using AWS, GCP or AzureKnowledge of MLOps best practices and tools like MLflow, Kubeflow, AWS SageMakerIf you are passionate about pushing the boundaries of NLP and developing game-changing AI applications, we would love to hear from you. Join our world-class team and help shape the future of intelligent systems.

SaaS Experience: At least 5 years of experience in developing SaaS platforms, particularly in B2B environments, demonstrating a solid understanding of SaaS models and challenges.System Architecture: Proficient in system architecture and design, with hands-on experience in Event-Driven Architecture and Domain-Driven Design. Include examples of projects where these approaches were successfully implemented.Programming Skills: Advanced expertise in Python, with significant projects or achievements using the Serverless Framework.Cloud Experience: Strong experience with AWS/ GCP/OCI Services such as Lambda, API Gateway, RDS, DynamoDB, SNS, SQS, etc., with a preference for candidates holding AWS certifications. Experience in cloud architecture is highly desirable.Additional Skills: Knowledge of PaaS and Container Applications is beneficial.Soft Skills: Must possess excellent communication skills, a proactive go-getter attitude, strong team collaboration abilities, and effective problem-solving skills.

Key Responsibilities1. Debugging and Troubleshooting:Investigate and resolve complex software issues within OpenStack environments (particularly those running on Ubuntu), including networking, compute, and storage.Diagnose and troubleshoot problems related to Kubernetes container orchestration, including pod failures, service outages, and networking issues.Debug and analyze issues with Docker containers and their interaction with the underlying system.Analyze and resolve issues related to Ceph distributed storage, including data replication, performance tuning, and storage availability.Work on Octavia load balancers to troubleshoot L2/L3 networking issues and ensure reliable load balancing for cloud-native applications.2. Incident and Problem Management:Lead incident resolution efforts for platform outages or performance degradation, coordinating across different teams to ensure swift recovery.Perform root cause analysis (RCA) and provide long-term fixes for recurring or critical issues.Document incident postmortems to prevent future occurrences and improve processes.3. Performance Optimization:Analyze performance bottlenecks across the cloud stack, including OpenStack components, Kubernetes, and Ceph, and implement optimizations to improve reliability and efficiency.Optimize networking setups, including Octavia load balancers, to enhance cloud service delivery.Monitor and improve containerized application performance and scaling across Docker and Kubernetes clusters.4. Cloud Platform Maintenance:Assist in upgrading and maintaining cloud infrastructure, ensuring that all components (Ubuntu, OpenStack, Kubernetes, Ceph, etc.) are kept secure and up to date.Participate in the deployment of software updates, security patches, and configuration changes in a controlled manner with minimal downtime.5. Automation and Tooling:Build and maintain automation scripts for monitoring, troubleshooting, and resolving cloud platform issues, focusing on OpenStack, Kubernetes, Ceph, and Docker environments.Implement and optimize Infrastructure as Code (IaC) solutions to improve the deployment and configuration of cloud resources.Required Skills and Qualifications 3+ years of experience with cloud platforms, specifically focusing on Ubuntu, OpenStack, Kubernetes, Ceph, Octavia load balancers, and Docker.Strong debugging skills and familiarity with cloud and software debugging tools.Experience with networking, compute, and storage components in OpenStack.Hands-on experience with containerization (Docker) and orchestration (Kubernetes).Familiarity with Ceph distributed storage solutions and troubleshooting storage issues.Experience with monitoring and logging tools, such as Prometheus, Grafana, and Elasticsearch.Solid understanding of networking principles, including L2/L3 networking, load balancing (Octavia), and SDN (Software Defined Networking).Proficient in scripting languages like Python, Bash, or equivalent for automation.Strong communication skills and the ability to work in a collaborative environment.

Video Deep Learning EngineerJob Description: We are currently looking for bright Video Deep learning talent who have 4-5 years of industry experience, working on problems related to the Video AI space. The ideal candidate will be proficient in implementing and optimizing ML/DL/AI models, particularly for video and image processing, while also having a deep understanding of encoding and decoding algorithms. If you are passionate about advancing multimedia technologies and have hands-on experience with deep learning and video compression standards, we encourage you to apply. As part of our team, you will work on cutting-edge projects in video and image compression, activity detection, object detection, and related areas. You will be responsible for implementing, tuning, and evaluating ML/DL models h, optimizing performance, and applying your expertise in compression algorithms to improve encoding/decoding efficiency. Minimum Qualifications: Strong C++ programming skills (C++11 & above, STL) Execution of ML/DL/AI models on PyTorch or any other FraMework, loss and performance analysis, regression tracking Good understanding of Deep Learning concepts (model parameters, tuning of models, optimizers, learning rates, attention mechanisms, masking etc). Thorough understanding of deep learning implementations of activity detection or object detection. Expertise in video and image compression standards (such as H.264, HEVC, AV1, JPEG) and relevant encoding/decoding algorithms. Proficiency in using quality metrics such as SSIM, PSNR to evaluate encoding/decoding performance. Experience with hardware acceleration techniques in multimedia processing is a plus Expertise in numeric analysis, loss/accuracy, and performance debug in validation environment Solid development experience (git, cmake, gdb, strace, shell, etc.) in Unix-like (Linux) environment. The candidate must be able to identify and debug system issues Proficiency in Version control tools like GIT, GITlab, Gerrit Reviews Experience with the Agile/Scrum processes through the entire SDLC: software design, coding, unit test, integration test, build and release. Preferred Qualifications: Good Understanding of DALI / FFMPEG / gstreamer encoding, decoding and pre-processing functions. Knowledge of deployment tools like Triton inference server or Ray is a plus.

Responsibilities:Design new kubernetes clusters with High Availability and multi replica setsImplement GPU support within Kubernetes to optimize AI/ML workloads.Develop kubernetes deployment yaml files for Micro services including kubernetes based databases deploymentsKnowledge on RK2 and CAPI based Kubernetes cluster deploymentsKnowledge on APISIX routing deployment and debugging issues with routing tables Knowledge on Kubernetes cluster and pod health monitoring and debug issues on production environmentsHands on Knowledge of setting new kubernetes cluster and micro service bring up on Virtual Machine and stand alone node environment Build Kubernetes observability onto prometheus and Grafana Visualization. Required Skills and Qualifications:Minimum 3 years industry experience, with 2+ dedicated kubernetes experience Proficiency in scripting languages (e.g., Python, Bash, Go-lang) for automation and orchestration.Extensive experience with Kubernetes cluster creation, management, and optimization and apisix routingHands-on experience with GPU support in Kubernetes on Openstack VM technologyHands on Database deployment using kubernetesDeveloping monitoring agents for kubernetes and visualization on GrafanaStrong knowledge of OpenStack and its integration with Kubernetes

Job descriptionJob Title: Senior Engineer VideoJob Location: ChennaiJob Type: Full-TimeExperience: 5+ yearsKey Responsibilities:Implement, test, and deliver production-quality software, architected for problems in video pipelines of internal and customer IPs.Lead the execution and implementation of product features with a small team of engineers and mentor the junior engineers within the team.Conduct meticulous code-reviews to ensure bug-free and high-quality deliverables.Contribute towards product release cycles by developing tests deployed in continuous integration frameworks, fixing bugs identified during release, etc.Interface with customers, support customer evaluations of products and debugging of customer issues.Qualifications:Bachelors degree in Computer Science, Computer Engineering, or Electrical Engineering with 5 + years experience, or a Masters degree in similar areas with 3+ years’ experienceExcellent C/C++ development and debugging experience in creating production grade software on Windows and Unix-based platforms.Hands-on experience in video coding with an in-depth knowledge of HEVC, AVC, VP9, AV1 and VVC.Strong interest in video/imaging technologies, including video/image compression, analytics, and streaming/ delivery.Demonstrated analytical, problem solving and troubleshooting skills, with meticulous attention to detail.Working knowledge of code management systems such as Git and BitbucketGood verbal and written communication skillsPreferred Qualifications:Experience with continuous integration frameworks like JenkinsExperience with heterogeneous programming libraries such as OpenCL, CUDA.Experience with platform-specific software optimizations like SIMD to enable higher performance software.Understanding of Agile / Scrum methodologiesExperience in interacting with geographically distributed teams for reviews and meetings.