Calibration Jobs in Noida

Instrumentation Lead / Engineer Location: Noida Experience: 5 20 Years Industry: Chemical Process | Oil & Gas | Refinery | Petrochemical | Fertilizer Employment Type: Full-Time Role Overview: We are seeking a highly skilled Instrumentation Lead / Engineer with 5 to 20 years of experience in executing multi-disciplinary engineering projects. The role involves working across Concept, FEED, and Detailed Engineering phases for field instrumentation, control systems, and monitoring solutions including DCS, ESD, and F&G systems primarily in chemical, oil & gas, and petrochemical environments. Key Responsibilities: Instrumentation & Control System Design Lead the development and engineering of field instrumentation, DCS (Distributed Control Systems), ESD (Emergency Shutdown Systems), and F&G (Fire & Gas Systems). Deliver Concept, FEED, and Detail Engineering packages for instrumentation and control systems across process industry projects. Project Coordination & Stakeholder Interaction Participate in interface meetings with clients, vendors, and internal stakeholders to align on technical requirements and project progress. Collaborate with other disciplines to ensure integrated and seamless design delivery. Vendor & Procurement Support Review vendor documents and control system proposals for technical accuracy and compliance with specifications. Prepare vendor technical clarifications, technical bid evaluations (TBE), and recommendations for procurement. Required Skills & Qualifications: Bachelor s degree in Instrumentation Engineering, Electronics, or a related discipline 5 20 years of relevant experience in the instrumentation and control systems domain Strong working knowledge of control philosophies, instrument sizing, loop diagrams, I/O lists, and hook-up drawings Hands-on experience in engineering for DCS, ESD, F&G, and SCADA systems Familiarity with international codes and standards (ISA, IEC, API, etc.) Excellent communication, coordination, and documentation skills Preferred Industry Background: EPC / PMC firms or operating companies in: Oil & Gas Refinery Petrochemical Fertilizer Chemical Processing If you re passionate about control and instrumentation engineering and thrive in technically complex environments, we encourage you to join our growing team. Qualification : Bachelors degree in Instrumentation Engineering, Electronics, or a related discipline

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