Responsibilities Assist in developing and maintaining web applications using PHP and the Symfony framework. Implement and manage API integrations with third-party services. Collaborate with front-end developers and designers to create responsive, user-friendly interfaces using HTML, CSS, SASS, JavaScript, AJAX, and jQuery. Work with version control systems like Git and repositories such as Bitbucket. Debug and troubleshoot issues across the full web stack. Follow coding best practices and contribute to team code reviews. Write clean, maintainable, and well-documented code.Qualification & ExperienceCompleted a degree in Computer Science, Information Technology, or a related field. Previous internship or project experience in web development is a plus.Good understanding of PHP and experience with the Symfony framework. Familiarity with version control systems (Git, Bitbucket). Hands-on experience with API integration. Working knowledge of AJAX, HTML, CSS, SASS, JavaScript, and jQuery. Understanding of client-server architecture and RESTful services. Strong problem-solving and analytical skills. Good communication and teamwork abilities.

Responsibilities: Develop, test, and maintain applications using .NET / .NET Core Build and consume REST APIsWrite clean, scalable, and efficient codeWork with databases (SQL Server preferred)Collaborate with product, QA, and UI teamsDebug, optimize, and enhance existing applicationsQualification & ExperienceStrong experience in C#, .NET, .NET Core Hands-on experience with ASP.NET / Web APIs Knowledge of SQL Server and basic database design Understanding of OOP concepts and design patterns Familiarity with Git and agile development practices Good to Have Experience with Azure / cloud services Exposure to microservices architecture Front-end basics (HTML, CSS, JavaScript)

Responsibilities: Build high quality working software Collaboratively codes, tests and builds software according to requirements and acceptance criteria Performs meaningful unit testing Accountable to maintain code quality Attends scrum ceremonies Updates status in Rally on a daily basis Continuously works with teams to improve technical practices Attends release planning meeting and technical review as needed Provides implementation coverage Provides on-call coverage, following implementation, including warranty support Takes part in the sizing process Design, develop, test, and maintain cloud-native application components and microservices using modern engineering practices. Translate product and business requirements into scalable technical solutions and participate in architecture/design reviews. Write clean, maintainable, and efficient Java (Spring/Springboot), ReactJS code following engineering best practices. Develop and operate applications on Google Cloud Platform (GCP) with cloud-native design principles. Build and manage containerized applications using Docker and Kubernetes (GKE). Contribute to CI/CD pipelines, build automation, and deployment processes using Git-based workflows. Ensure applications meet scalability, performance, reliability, and security requirements. Troubleshoot production issues, performance bottlenecks, and reliability problems, including root cause analysis. Improve observability through logging, monitoring, and alerting, while continuously reducing technical debt. 4+ Years of professional experience

Responsibilities: Collaborate with Program Managers and Network Engineering to define site design requirements and develop project implementation and migration plans. This includes creating and reviewing deployment packages such as Engineering Design Packages (EDP), Scope of Works (SoW), Method of Procedures (MoP), Rack Face Elevations (RFE), and Bill of Materials (BoM). Provide technical leadership and guidance, both remotely and on-site, for network upgrades and new PoP site builds. This covers areas like power, cooling, rack layout, cable management, equipment installation, network configuration, testing, and production traffic handoff. Calculate and document power and space requirements for equipment at multiple PoP sites. Coordinate with Colocation Vendors, local Engineering, and Facilities Operations to meet thee requirements. Actively contribute to the improvement of documentation, automation, and processes. Design cages and racks, understanding the current and future needs of PoP infrastructure. Qualification & ExperienceOver 5 years of experience in deploying and supporting network hardware platforms and architectures, including Cisco and/or Juniper routers/switches.Proficiency in configuring and troubleshooting IP routing/switching technologies and protocols such as TCP/IP, BGP, ISIS, OSPF, and MPLS in a dual-stack IPv4/6 environment. Experience in coordinating and executing large-scale hardware installations and configurations. Demonstrated ability to lead and execute complex network deployment projects with meticulous attention to detail. Strong interaction skills with vendors and external parties to ensure project completion. Experience with cage design using tools like MS Visio/Omnigraffle for layouts and rack elevations. Familiarity with Data Center electrical and cooling configurations (IEC, NEMA, AC/DC power, and power redundancy scenarios). Experience with Linux/OS tools. Ability to work effectively in a global team environment with minimal supervision. Preferred Qualifications: Certifications such as CCNP or JNCIP preferred; Expert-level certifications are a plus. Experience with scripting and automation. Experience in coordinating and executing projects involving the deployment of optical communication equipment (DWDM), site preparations, and OTDR testing is desirable.

Responsibilities Develop and maintain backend services using Node.js and Express.js Build responsive and interactive user interfaces using React.js Design and integrate RESTful APIs Work with MongoDB for database design and data management. Implement authentication and basic security practices. Debug, test, and optimize application performance. Maintain technical documentation and progress updates.Qualification & ExperienceAny Degree / Diploma / ITI Freshers or experienced are welcome

Responsibilities Basic knowledge of networking and cybersecurity concepts. SUnderstanding of common threats (malware, phishing, etc.) identifying cyber threats and vulnerabilities.Qualification & ExperienceAny degree/diploma/ITI Freshers or experienced are welcome

Responsibilities Develop responsive UI components using React.js. Convert UI designs into functional interfaces. Write clean and reusable code. Integrate APIs with frontend features. Debug, test, and optimize performance. Collaborate with designers, backend developers, and project teams Document tasks and updates.Qualification & ExperienceAny degree/diploma/ITI Freshers or experienced are welcome

ResponsibilitiesDevelop computer vision solutions with high-quality, robust, and scalable algorithms and models. Collaborate with cross-functional teams to coordinate project activities, manage timelines, and ensure milestones are met. Manage the training, evaluation, and fine-tuning of advanced deep learning models for tasks such as object detection, classification, object tracking, and work with models like CLIP and VLM. Dockerize applications and work effectively with Git and CI/CD workflows to support smooth development, integration, and deployment. Troubleshoot and resolve issues and bugs, while identifying opportunities to improve existing solutions for better scalability and efficiency. Qualification & ExperienceExperience in Python programming, with proficiency in Git and Docker containerization. Experience contributing to the development of computer vision systems for surveillance applications, including violation detection, compliance monitoring, and analytics. Familiarity with object detection techniques such as YOLO, DETR, RCNN, and classification algorithms. Experience with model conversion tools like ONNX, TensorRT engine, and OpenVINO, including precision optimization and quantization techniques (FP16, INT8). Experience with deep learning and vision frameworks such as PyTorch, TensorFlow, OpenCV, and Pillow, building systems optimized for CPU and GPU. Ability to implement high-throughput, low-latency inference using tools such as TensorRT, DeepStream, custom CUDA kernels, and Triton Inference Server. Good problem-solving skills and eagerness to learn new technologies and techniques. Ability to collaborate effectively within a team and communicate technical concepts clearly. Good to Have: Experience with fine-tuning vision-language models (VLM). Knowledge of advanced model quantization techniques beyond FP16 and INT8. Familiarity with cloud platforms and deployment tools. Understanding of data annotation and augmentation strategies for CV tasks. Exposure to real-time video processing and multi-camera systems.  

ResponsibilitiesDesign, implement, and maintain software solutions using C++ Apply OOP principles to create modular, reusable, and maintainable code Collaborate with cross-functional teams to integrate video streaming and analytics features Adapt software solutions to run efficiently on resource-constrained edge devices Optimize memory usage and performance for edge environments Develop and maintain GStreamer-based video-streaming applications Develop hardware-specific optimizations for video streaming Do integration with AI inference accelerators Create and maintain software documentation Work on bug fixing and improving application performance Qualification & ExperienceProficiency in C/C++ programming with working knowledge of DSA. Nice to have GDB debugging, code profiling, and static code analysis. Good understanding of OS concepts/fundamentals, Linux, processes, signals, and multi-threading. Knowledge of OOP principles and design patterns. Hands-on knowledge of video processing using Gstreamer and/or FFMPEG. Hands-on knowledge of OpenCV for image/video processing. Should be familiar with networking protocols such as TCP/IP, RTSP, RTP, HTTP, RTMP, and WebRTC. Knowledge of video encoding profiles such as H264, H265, and MJPEG is a plus. Should be aware of Git and Docker. Knowledge of NoSQL databases such as MongoDB is a plus.

ResponsibilitiesDesign, implement, and deploy robust AI and machine learning models focused on: Predictive pricing and accurate valuation of pre-owned vehicles based on comprehensive data analysis. Condition assessment of vehicles through advanced sensor data interpretation and inspection report analysis. Develop and maintain scalable, end-to-end ML pipelines primarily using Python, ensuring efficient data processing and model execution. Handle diverse automotive datasets, including structured data, unstructured textual information, and time-series sensor inputs, facilitating comprehensive model training. Collaborate effectively with diverse teams such as product management, data engineering, and business units to drive solutions from concept to production environments. Oversee continual model performance monitoring, retrain models using up-to-date data, and optimize algorithms to maintain prediction accuracy over time. Create and maintain interactive dashboards and visualizations to communicate analytical insights clearly to stakeholders across technical and non-technical backgrounds. Incorporate best practices in MLOps, including model versioning, automated testing, and deployment using containerization technologies. Qualification & ExperienceProficiency in Python programming with solid experience in machine learning frameworks and libraries, such as scikit-learn, XGBoost, CatBoost, TensorFlow, and PyTorch. Strong command over data processing and visualization libraries including Pandas, NumPy, Matplotlib, and Seaborn to handle complex datasets and present insights. Hands-on experience deploying machine learning models using modern tools such as Docker, FastAPI, and MLflow to ensure seamless integration and scalability. Familiarity with cloud computing platforms, including AWS, GCP, or Azure, coupled with a solid understanding of MLOps workflows and automation. Expertise in data preprocessing, feature selection and engineering, as well as rigorous model evaluation techniques. Demonstrated capability to take full ownership of projects, working independently while driving collaboration with cross-functional teams.Minimum of 3 to 5 years of professional experience in data science roles, specializing in machine learning model development and deployment. Experience within automotive analytics, mobility services, or retail pricing sectors is highly valued, reflecting an understanding of domain-specific challenges and datasets. Knowledge of emerging technologies such as Generative AI, natural language processing (NLP), and deep learning methods is an advantage, enhancing model sophistication and applicability. Proven track record of successfully delivering production-level AI/ML projects that impact business outcomes significantly. Exposure to handling large, multi-modal datasets and improving model robustness in dynamic environments. Qualifications Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical discipline is required. A Master’s or doctoral degree in a relevant field is considered an asset and may substitute for some experience requirements. Strong academic foundation in machine learning, statistical modeling, and algorithm development essential for this role. Commitment to continuous learning and staying current with advancements in AI and machine learning technologies.