Opening For Lab Trainers on cutting Edge
- Prolim
- 2 - 7 years
- Jaipur
- 2 months ago
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Job Description
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):
- AI & Robotics Software Lab (Python, TensorFlow, OpenCV, ROS)
- AI & Robotics Hardware Lab (Microcontrollers, LiDAR, Actuators)
- Drone Technology Lab (PX4, Ardupilot, UAV Navigation)
- Cognitive Science Lab (EEG, NLP, AI-driven Decision Making)
- Smart Manufacturing Lab (Industry 4.0, Digital Twin, Tecnomatix)
- Green Hydrogen Lab (Fuel Cells, Simcenter Amesim, STAR-CCM+)
- Electric Vehicle Software & Test Hardware Lab (MATLAB, Simcenter, BMS)
- IIoT + Low Code Lab (MQTT, Edge Computing, Cloud Platforms)
- EV Hardware Lab (Battery Tech, CAN Bus, Embedded Systems)
- Mechatronics Lab (PLCs, Servo Motors, Industrial Robotics)
- AI & ML Lab (Machine Learning, Deep Learning, AI Cloud)
- Cloud Computing & Big Data Lab (AWS, Azure, Hadoop, Kubernetes)
- Data Science & Engineering Lab (Python, R, SQL, ETL, Spark)
- Computer Science Lab (Java, C++, Full Stack, Cybersecurity)
- 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Teaching & Training,
Role Category: Teaching & Training - Other
Role: Teaching & Training - Other
Employement Type: Full time
Contact Details:
Company: ProlimLocation(s): Jaipur
Keyskills: Trainer
Prolim
Imagine a first time Plan, Design, Engineer, Detail, Manufacture and Manage lifecycle management software implementation or another extreme of a global corporation with more than 20 acquisitions over a decade struggling to consolidate and manage their PLM strategy between own and acquired tools with...
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