Job description Project Manager. This individual manages project requests, prioritizes team activities, and assigns tasks across the team of application developers while adhering to full Software Development Life Cycle principles. They will also hire, coach, and mentor application developers, and ensure their career development aligns with their skills and personal goals and matches the needs of the company. The Applications Development Manager will work with the International Clients to define and implement the application platform strategy as it fits into IT and business strategies. This role ensures that development projects meet business requirements and goals, full fill end- user requirements, and identify and resolve system issues. This individual will apply proven communication skills, client management, problem- solving skills, and knowledge of best practices to guide his/ her development team on issues related to the design, development, and deployment. Roles & Responsibilities Allocate software development resources appropriately to ensure projects are completed in the most efficient and timely manner to the highest quality. Experience diverse teams of developers across more than one development platform with a large portfolio of applications. Lead a team of software developers, reviewing current work to maintain and improve upon quality standards and implementing KPI (key performance indicators) measures to provide a more structured and organized approach to the Software Development team. Represent the organization in customer and partner meetings. Attending meetings to discuss and develop understanding of software requirements with both new and existing clients. Deliver error- free, efficient services/ components/ applications that have passed rigorous testing procedures and which are complemented with automated tests Meet/ exceed product development quality, timeline, and budget goals, coordinating with interdependent functional areas as needed Ensure sound product development discipline and execution including code management and disciplined standardized development process adoption Establish, adopt, and enhance (as needed) effective processes, practices, tools and standards for development, delivery, and communication Take forward looking approach to existing and future work to enable effective planning and distribution of resources across the Software Development team. Take ultimate accountability for the timeliness and quality of delivered solutions by the Software Development team Lead recruitment activities within the Software Development team when required. Coordinate the development efforts of offshore development teams. Managing large- scale, complex application environments. Software development project estimation and planning. Keep abreast of latest technological developments/ strategies and implement where appropriate. Desired Profile: Expert level software development competency. Willing to learn new technologies(Mendix) Demonstrable experience as a manager of a multi- disciplined development team. Deft in handling International customers. Need minimum 5 yrs experience handling international customers in delivery of IT application development projects Experience in the entire SDLC utilizing a formal development process such as Agile/ Waterfall. In-depth experience in Fixed Price projects. Desktop and web development experience. Knowledge of source control platforms and methods. Development resource Management. Issue Bug/ Tracking. Formal Software Defect Testing Methods. Database modeling and design. Ability to deal with rapid change in a positive manner and to lead staff through changing priorities. Ability to collaborate cross- functionally in order to achieve shared goals and objectives. Hands on experience in Implementing quality process throughout the software development life cycle. Ability to build successful work teams and manage and retain high potential employees. B.Tech/B.E in CS/IS/IT or related fields and Certified PMP Role: Other Program / Project Management - Other Industry Type: Miscellaneous Department: Project & Program Management Employment Type: Full Time, Permanent Role Category: Other Program / Project Management Education UG: Any Graduate PG: Any Postgraduate

Job description We are seeking a highly experienced Senior ARAS Architect with 10+ years of expertise in ARAS Innovator PLM solutions . The ideal candidate will have a deep understanding of PLM architecture, enterprise integrations, customization, and system scalability . This role requires strong technical and leadership skills to drive enterprise-wide ARAS implementations, optimizations, and strategic initiatives . Key Responsibilities: 1. ARAS Solution Architecture & Strategy Define and implement scalable ARAS Innovator PLM architectures aligned with business goals. Develop best practices and standards for ARAS customization, deployment, and integration. Collaborate with executive leadership, IT teams, and business units to define ARAS roadmaps and long-term strategies. 2. Customization & Development Lead complex ARAS customization efforts using C#, .NET, JavaScript, XML, SQL Server, and ARAS APIs . Architect and implement complex workflows, data models, lifecycles, and configurations within ARAS. Ensure system performance, scalability, and security through advanced configurations and optimizations. 3. Enterprise Integration & Data Management Design and implement integrations with ERP (SAP, Oracle, etc.), CAD (SolidWorks, NX, AutoCAD, etc.), MES, and other enterprise systems . Lead data migration projects, ensuring seamless transfer of legacy PLM data to ARAS. Utilize web services (SOAP/REST), middleware, and enterprise integration patterns to enable system connectivity. 4. System Performance & Optimization Conduct performance tuning, scalability planning, and system audits to enhance ARAS reliability. Implement automation and DevOps practices for ARAS deployments and maintenance. Ensure high availability, disaster recovery, and security measures for ARAS environments. 5. Stakeholder Engagement & Team Leadership Lead cross-functional teams , mentor junior developers, and drive ARAS project execution. Work closely with business analysts, IT teams, and end-users to gather requirements and translate them into technical solutions. Provide technical leadership , guiding teams on best practices, troubleshooting, and issue resolution. 6. Upgrades, Migrations & System Enhancements Plan and execute ARAS upgrades, patch deployments, and feature enhancements . Evaluate new ARAS releases and assess their impact on existing implementations. Ensure compliance with IT governance, security policies, and industry standards . Required Skills & Qualifications: 10+ years of experience in PLM architecture, development, and integration with a focus on ARAS Innovator. Strong expertise in C#, .NET, JavaScript, XML, SQL Server, and ARAS API customization . Proven experience in enterprise system integration, data migration, and workflow automation . Expertise in PLM concepts, BOM management, engineering change management, and version control . Experience with cloud-based ARAS deployments and DevOps practices is a plus. Strong leadership, communication, and stakeholder management skills. Ability to drive technical innovation, problem-solving, and continuous improvement initiatives. Role: Solution Architect Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate

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 ------------------------------------------------------------------------------------------------------------------- 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. Role: Teaching & Training - Other Industry Type: IT Services & Consulting Department: Teaching & Training Employment Type: Full Time, Permanent Role Category: Teaching & Training - Other Education UG: Any Graduate