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Position: NDT Applications Engineer – PAUT ( Corrosion Mapping/ Weld Inspection / PWI/Advance FMC-TFM)
Location: Noida
Job Type: Full-time
Experience Level: Mid-Level / Senior-Level
Industry: Non-Destructive Testing (NDT), PAUT.
We are specifically looking for candidates with hands-on experience as an NDT Senior Engineer; only those with relevant NDT expertise should apply.
We are specifically looking for candidates with hands-on experience as an NDT Senior Engineer; only those with relevant NDT expertise should apply."
Job Summary
We are seeking a highly skilled NDT-Engineer with expertise in Ultrasonic Testing (UT) and Phased Array Ultrasonic Testing (PAUT) for robotic integration. This role involves coordinating with software and control system teams to integrate UT & PAUT ( Corrosion Mapping/Weld Inspection) into robotic NDT systems, ensuring optimal inspection performance.
The engineer will focus on sensor selection, ultrasonic parameter optimization, calibration, and data interpretation, while the software team handles control algorithms and motion planning. The ideal candidate should have strong experience in NDT automation, probe and frequency selection, phased array data acquisition, and defect characterization.
Key Responsibilities
1. NDT Inspection & Signal Optimization
• Optimize probe selection, wedge design, and beam focusing to achieve high-resolution imaging.
• Define scanning techniques (sectorial, linear, and compound scans) to detect various defect types.
• Analyse UT & PAUT signals, ensuring accurate defect detection, sizing, and characterization.
• Implement Time-of-Flight Diffraction (TOFD) and Full Matrix Capture (FMC) techniques to enhance detection capabilities.
• Address electromagnetic interference (EMI) and signal noise issues affecting robotic UT/PAUT.
• Develop procedures for coupling enhancement, including the use of water column, dry coupling, and adaptive surface-following mechanisms for robotic probes.
• Evaluate attenuation, beam divergence, and wave mode conversion for different material types.
• Work with AI-based defect recognition systems to automate data processing and anomaly detection.
• Test different scanning configurations for challenging surfaces, curved geometries, and weld seams.
• Optimize gain, pulse repetition frequency (PRF), and filtering settings to ensure the highest signal clarity.
• Implement phased array data interpretation techniques to differentiate between false indications and real defects.
• Develop and refine automated thickness gauging algorithms for robotic NDT systems.
• Ensure the compatibility of PAUT imaging with robotic motion constraints to avoid signal distortion.
2. NDT-Integration for Robotics (UT & PAUT)
•Select, integrate, and optimize ultrasonic transducers and phased array probes for robotic inspection systems.
•Define NDT scanning parameters (frequency, angle, probe type, and scanning speed) for robotic UT/PAUT applications.
•Ensure seamless coordination with control system and software teams for planning and automation.
•Work with robotic hardware teams to mount, position, and align UT/PAUT probes accurately.
•Conduct system calibration and validate UT/PAUT performance on robotic platforms.
3. Data Analysis & Reporting
•Interpret PAUT sectorial scans, full matrix capture (FMC), and total focusing method (TFM) data.
•Assist the software team in processing PAUT data for defect characterization and AI-based analysis.
•Validate robotic UT/PAUT inspection results and generate detailed technical reports.
•Ensure compliance with NDT standards (ASME, ISO 9712, ASTM, API 510/570) for ultrasonic inspections.
4. Coordination with Software & Control System Teams
•Work closely with the software team to define scan path strategies and automation logic.
•Collaborate with control engineers to ensure precise probe movement and stability.
•Provide technical input on robotic payload capacity, motion constraints, and scanning efficiency.
•Assist in integration of AI-driven defect recognition for automated data interpretation.
5. Field Deployment & Validation
•Supervise robotic UT/PAUT system trials in real-world inspection environments.
•Ensure compliance with safety regulations and industry best practices.
•Support on-site troubleshooting and optimization of robotic NDT performance.
•Train operators on robot-assisted ultrasonic testing procedures.
Required Qualifications & Skills
1. Educational Background
•Master’s Degree in Metallurgy/NDT/Mechanical.
•ASNT-Level II/III, ISO 9712, PCN, AWS CWI, or API 510/570 certifications in UT & PAUT preferred.
2. Technical Skills & Experience
•3-10 years of experience in Ultrasonic Testing (UT) and Phased Array Ultrasonic Testing (PAUT).
•Strong understanding of probe selection, frequency tuning, and phased array beamforming.
•Experience with NDT software
•Knowledge of electromagnetic shielding, signal integrity, and noise reduction techniques in ultrasonic systems.
•Ability to collaborate with software and control teams for robotic NDT development.
3. Soft Skills
•Strong problem-solving and analytical abilities.
•Excellent technical communication and coordination skills.
•Ability to work in cross-functional teams with robotics, software, and NDT specialists.
•Willingness to travel for on-site robotic NDT deployments.
Work Conditions
•Lab – Hands-on testing and robotic system deployment.
•Flexible Work Hours – Based on project
Benefits & Perks
•Competitive salary & performance incentives.
•Exposure to cutting-edge robotic and AI-driven NDT innovations.
•Training & certification support for career growth.
•Opportunities to work on pioneering robotic NDT projects.
JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.
Mon-Fri, In office role with excellent perks and benefits!
Key Responsibilities:
1. Design, develop, and maintain backend services and APIs using Node.js or Python, or Java.
2. Build and implement scalable and robust microservices and integrate API gateways.
3. Develop and optimize NoSQL database structures and queries (e.g., MongoDB, DynamoDB).
4. Implement real-time data pipelines using Kafka.
5. Collaborate with front-end developers to ensure seamless integration of backend services.
6. Write clean, reusable, and efficient code following best practices, including design patterns.
7. Troubleshoot, debug, and enhance existing systems for improved performance.
Mandatory Skills:
1. Proficiency in at least one backend technology: Node.js or Python, or Java.
2. Strong experience in:
i. Microservices architecture,
ii. API gateways,
iii. NoSQL databases (e.g., MongoDB, DynamoDB),
iv. Kafka
v. Data structures (e.g., arrays, linked lists, trees).
3. Frameworks:
i. If Java : Spring framework for backend development.
ii. If Python: FastAPI/Django frameworks for AI applications.
iii. If Node: Express.js for Node.js development.
Good to Have Skills:
1. Experience with Kubernetes for container orchestration.
2. Familiarity with in-memory databases like Redis or Memcached.
3. Frontend skills: Basic knowledge of HTML, CSS, JavaScript, or frameworks like React.js.
Job Title : Sr. Data Scientist
Experience : 5+ Years
Location : Noida (Hybrid – 3 Days in Office)
Shift Timing : 2 PM to 11 PM
Availability : Immediate
Job Description :
We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.
The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.
Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.
Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.




