Opening For Lab Trainers on cutting Edge technologies

We are hiring Lab Trainers for various cutting-edge technology domains. The ideal candidate should have expertise in their respective fields, a passion for teaching, and hands-on experience with engineering software/tools.

Location:- Jaipur

Experience Level:

• Senior Trainers: 5-7 years of industry experience + 1 year training experience
• Trainers: 3-4 years of industry experience + 1 year training experience
• Jr.Trainers: 3-4 years of industry experience + 1 year training experience

Open Positions (Technology Domains):

1. AI & Robotics Software Lab (Python, TensorFlow, OpenCV, ROS)
2. AI & Robotics Hardware Lab (Microcontrollers, LiDAR, Actuators)
3. Drone Technology Lab (PX4, Ardupilot, UAV Navigation)
4. Cognitive Science Lab (EEG, NLP, AI-driven Decision Making)
5. Smart Manufacturing Lab (Industry 4.0, Digital Twin, Tecnomatix)
6. Green Hydrogen Lab (Fuel Cells, Simcenter Amesim, STAR-CCM+)
7. Electric Vehicle Software & Test Hardware Lab (MATLAB, Simcenter, BMS)
8. IIoT + Low Code Lab (MQTT, Edge Computing, Cloud Platforms)
9. EV Hardware Lab (Battery Tech, CAN Bus, Embedded Systems)
10. Mechatronics Lab (PLCs, Servo Motors, Industrial Robotics)
11. AI & ML Lab (Machine Learning, Deep Learning, AI Cloud)
12. Cloud Computing & Big Data Lab (AWS, Azure, Hadoop, Kubernetes)
13. Data Science & Engineering Lab (Python, R, SQL, ETL, Spark)
14. Computer Science Lab (Java, C++, Full Stack, Cybersecurity)
15. IoT, Cybernetics & Blockchain Lab (Arduino, Hyperledger, Edge AI)

Key Responsibilities:

• Conduct hands-on lab sessions and practical training
• Develop course materials, assignments, and assessments
• Guide students in projects and research activities
• Stay updated with the latest industry advancements
• Work with advanced software/hardware tools

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Job Description Lab Trainers (Various Domains)

1. AI Robotics Software Lab Trainer

Technical Skills:

• Expertise in Python, TensorFlow, PyTorch, OpenCV, and ROS (Robot Operating System).
• Knowledge of AI model training, reinforcement learning, and deep learning for robotics.
• Hands-on experience with robotic simulation tools (Gazebo, V-REP, Webots).
• Experience in deploying AI models on embedded systems.

2. AI Robotics Hardware Lab Trainer

Technical Skills:

• Experience in microcontrollers (Arduino, Raspberry Pi, Jetson Nano).
• Familiarity with actuators, sensors, and motor control for robotics.
• Knowledge of kinematics, dynamics, and control systems for robots.
• Hands-on experience with industrial robotic arms, AI vision systems, and LiDAR.

3. Drone Technology Lab Trainer

Technical Skills:

• Knowledge of UAV (Unmanned Aerial Vehicle) design, control, and navigation.
• Proficiency in PX4, Ardupilot, and DJI SDK for drone programming.
• Understanding of drone communication protocols and flight control software.
• Experience in drone-based AI applications, LiDAR mapping, and aerial photogrammetry.

4. Cognitive Science Lab Trainer

Technical Skills:

• Understanding of human cognition, neural networks, and cognitive computing.
• Experience in EEG, eye-tracking, and other neurotechnology tools.
• Familiarity with cognitive psychology, NLP, and AI-driven decision-making models.
• Proficiency in Python, MATLAB, and cognitive modeling tools.

5. Smart Manufacturing Lab Trainer

Technical Skills:

• Knowledge of Industry 4.0, digital twin technology, and process automation.
• Hands-on experience with Tecnomatix, Siemens NX, and industrial IoT.
• Familiarity with SCADA, MES, and AI-driven predictive maintenance.
• Understanding of CNC machining, robotics in manufacturing, and 3D printing.

6. Green Hydrogen Lab Trainer

Technical Skills:

• Knowledge of hydrogen production, storage, and fuel cell technology.
• Experience with simulation tools like Simcenter Amesim and STAR-CCM+.
• Understanding of electrolysis processes, hydrogen safety, and renewable energy systems.
• Hands-on experience with hydrogen fuel cells, electrolyzers, and energy storage systems.

7. Electric Vehicle Software & Test Hardware Lab Trainer

Technical Skills:

• Proficiency in MATLAB/Simulink, Simcenter Tire, and vehicle dynamics modeling.
• Knowledge of battery management systems (BMS), power electronics, and motor controllers.
• Experience in EV simulation, CAN bus communication, and hardware-in-the-loop (HIL) testing.
• Hands-on experience with testing tools like Simcenter SCADAS.

8. IIOT + Low Code Lab Trainer

Technical Skills:

• Proficiency in IoT protocols (MQTT, OPC UA), industrial cloud platforms, and edge computing.
• Experience with Siemens Insights Hub, Multi-App Platform, and low-code/no-code tools.
• Understanding of cybersecurity in industrial IoT systems.
• Hands-on experience with data analytics and real-time monitoring systems.

9. EV Hardware Lab Trainer

Technical Skills:

• Expertise in powertrain systems, battery technology, and regenerative braking systems.
• Experience with testing tools like Prescan, Madymo, and Siemens Capital.
• Knowledge of electrical vehicle power electronics and embedded systems.
• Hands-on experience in EV component testing and validation.

10. Mechatronics Lab Trainer

Technical Skills:

• Knowledge of mechanical systems, electronics, and software integration.
• Hands-on experience with PLCs, servo motors, and industrial automation.
• Experience in CAD/CAM software like Siemens NX, SolidWorks, and AutoCAD.
• Understanding of sensors, actuators, and robotics in mechatronic systems.

11. AI & ML Lab Trainer

Technical Skills:

• Proficiency in Python, R, TensorFlow, and PyTorch.
• Experience in ML algorithms, deep learning, and data analytics.
• Knowledge of AI-driven automation, NLP, and computer vision.
• Hands-on experience with AI cloud platforms (AWS, Azure AI, Google AI).

12. Cloud Computing and Big Data Lab Trainer

Technical Skills:

• Proficiency in AWS, Microsoft Azure, and Google Cloud.
• Experience in Hadoop, Spark, Kubernetes, and Docker.
• Knowledge of cloud security, data engineering, and DevOps.
• Hands-on experience with cloud-native applications and serverless computing.

13. Data Science and Engineering Lab Trainer

Technical Skills:

• Expertise in Python, R, SQL, and machine learning frameworks.
• Knowledge of data warehousing, ETL pipelines, and data visualization tools.
• Experience with Apache Spark, Pandas, and big data processing.
• Hands-on experience with predictive analytics and business intelligence tools.

14. Computer Science Lab Trainer

Technical Skills:

• Proficiency in programming languages (Java, Python, C++, etc.).
• Experience in software engineering, operating systems, and computer networks.
• Knowledge of cybersecurity, databases, and full-stack development.
• Hands-on experience with DevOps, AI applications, and cloud computing.

15. IoT, Cybernetics & Blockchain Technology Lab Trainer

Technical Skills:

• Proficiency in IoT frameworks (Arduino, Raspberry Pi, ESP32).
• Knowledge of blockchain protocols (Ethereum, Hyperledger, smart contracts).
• Experience in cybersecurity for IoT devices and cryptographic security.
• Hands-on experience with distributed ledger technology and edge computing.