Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. INNOVATION EVANGELIST The Innovation Evangelist is responsible for managing the innovation idea funnel, organizing internal enablement initiatives, and partnering with product/pre-sales for marketable solution alignment. This role blends technical awareness with product thinking. Key Duties/ Responsibilities Facilitate the innovation intake process and guide promising ideas through evaluation. Host internal sessions like hackathons, demos, and capability showcases. Translate technical outcomes into business-aligned documentation and presentations. Maintain innovation knowledge base, templates, and contribution guides. Partner with Pre-Sales and Product teams for solution readiness and packaging. Own and deliver internal demo sessions, AI showcase walkthroughs, and knowledge-sharing initiatives. Author structured innovation reports, opportunity briefs, and PoC summaries for leadership. Leadership Skills: Strategic thinking with a strong sense of innovation ROI. Clear communication across technical and non-technical stakeholders. Workshop facilitation and team alignment. Excellent written and verbal communication to simplify complex ideas for varied audiences. Ability to create compelling demos, decks, and documentation that drive understanding and adoption. Required Technical Skills: Familiarity with GenAI workflows, Copilot, LangChain, and prompt design. Documentation platforms like Confluence Prototyping tools like Streamlit/Gradio/Hugging Face Spaces Working knowledge with Jira & Miro Analytics tools like Mixpanel / Google Analytics etc. Qualification: Bachelor’s degree in Engineering, MBA or equivalent. 6–8 years in product strategy, consulting, or solution engineering.

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. APPLIED AI SCIENTIST The Applied AI Scientist will lead the design, tuning, and evaluation of GenAI solutions. This role focuses on creating high-quality, business-relevant AI models, including RAG pipelines, LLM integrations, and prompt optimization strategies. Key Duties/ Responsibilities Design, fine-tune, and evaluate large language model (LLM) pipelines for internal tools and customer-facing use cases. Lead prompt engineering experiments to improve output quality and reduce hallucination. Establish model evaluation frameworks using tools like Promptfoo, Trulens, LangSmith. Collaborate with Enablement and Systems Engineers to integrate AI models into reusable components. Contribute to innovation showcases and internal learning sessions. Design, develop, and evaluate traditional ML models (e.g., classification, regression, clustering) for use cases such as resume matching, anomaly detection, or recommendation systems. Perform feature engineering, preprocessing, and model training on structured datasets using tools like scikit-learn, XGBoost, or TensorFlow. Collaborate with data and engineering teams to operationalize ML models via APIs or batch workflows. Leadership Skills: Strong analytical thinking with the ability to guide AI solution design. Able to mentor engineers on GenAI concepts and best practices. Collaboration across engineering and innovation teams. Required Technical Skills: Proficiency with HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures. Experience with Python, PyTorch, OpenAI API, and model evaluation tools. Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone or equivalent vector store). Prompt evaluation using LangSmith, Promptfoo, or similar frameworks. Qualification: Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. Minimum 6 years of industry experience with at least 2 years hands-on with GenAI applications in a production or product-context environment. Experience 6 + Years

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. INNOVATION EVANGELIST The Innovation Evangelist is responsible for managing the innovation idea funnel, organizing internal enablement initiatives, and partnering with product/pre-sales for marketable solution alignment. This role blends technical awareness with product thinking. Key Duties/ Responsibilities Facilitate the innovation intake process and guide promising ideas through evaluation. Host internal sessions like hackathons, demos, and capability showcases. Translate technical outcomes into business-aligned documentation and presentations. Maintain innovation knowledge base, templates, and contribution guides. Partner with Pre-Sales and Product teams for solution readiness and packaging. Own and deliver internal demo sessions, AI showcase walkthroughs, and knowledge-sharing initiatives. Author structured innovation reports, opportunity briefs, and PoC summaries for leadership. Leadership Skills: Strategic thinking with a strong sense of innovation ROI. Clear communication across technical and non-technical stakeholders. Workshop facilitation and team alignment. Excellent written and verbal communication to simplify complex ideas for varied audiences. Ability to create compelling demos, decks, and documentation that drive understanding and adoption. Required Technical Skills: Familiarity with GenAI workflows, Copilot, LangChain, and prompt design. Documentation platforms like Confluence Prototyping tools like Streamlit/Gradio/Hugging Face Spaces Working knowledge with Jira & Miro Analytics tools like Mixpanel / Google Analytics etc. Qualification: Bachelor’s degree in Engineering, MBA or equivalent. 6–8 years in product strategy, consulting, or solution engineering.

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. APPLIED AI SCIENTIST The Applied AI Scientist will lead the design, tuning, and evaluation of GenAI solutions. This role focuses on creating high-quality, business-relevant AI models, including RAG pipelines, LLM integrations, and prompt optimization strategies. Key Duties/ Responsibilities Design, fine-tune, and evaluate large language model (LLM) pipelines for internal tools and customer-facing use cases. Lead prompt engineering experiments to improve output quality and reduce hallucination. Establish model evaluation frameworks using tools like Promptfoo, Trulens, LangSmith. Collaborate with Enablement and Systems Engineers to integrate AI models into reusable components. Contribute to innovation showcases and internal learning sessions. Design, develop, and evaluate traditional ML models (e.g., classification, regression, clustering) for use cases such as resume matching, anomaly detection, or recommendation systems. Perform feature engineering, preprocessing, and model training on structured datasets using tools like scikit-learn, XGBoost, or TensorFlow. Collaborate with data and engineering teams to operationalize ML models via APIs or batch workflows. Leadership Skills: Strong analytical thinking with the ability to guide AI solution design. Able to mentor engineers on GenAI concepts and best practices. Collaboration across engineering and innovation teams. Required Technical Skills: Proficiency with HuggingFace Transformers, LangChain, LlamaIndex, RAG architectures. Experience with Python, PyTorch, OpenAI API, and model evaluation tools. Familiarity with vector databases (e.g., FAISS, Weaviate, Pinecone or equivalent vector store). Prompt evaluation using LangSmith, Promptfoo, or similar frameworks. Qualification: Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field. Minimum 6 years of industry experience with at least 2 years hands-on with GenAI applications in a production or product-context environment. Experience 6 + Years

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. LLM APPLICATIONS ENGINEER The LLM Applications Engineer transforms AI prototypes into modular, secure, and production-ready workflows. This role focuses on orchestrating AI agents, implementing observability, and building toolkits that accelerate internal and external adoption. Key Duties/ Responsibilities Develop agent orchestration using frameworks like LangChain, CrewAI, AutoGen. Build reusable APIs, SDKs, and configuration layers for internal consumption. Implement prompt safety measures and fallback handling using Rebuff, Guardrails AI. Ensure agent workflows are observable and CI/CD friendly. Collaborate with platform and backend engineers for deployment enablement. Leadership Skills: Ownership of agent toolkit delivery. Cross-functional collaboration with platform and AI scientists. Documentation and internal adoption support. Required Technical Skills: Node.js, Python, Docker, REST APIs. LangChain, Rebuff, LCEL, Guardrails, LangSmith. CI/CD tooling, OpenTelemetry, workflow orchestration (Airflow, Prefect). Experience implementing agent safety using Rebuff, Guardrails, or similar tools. Familiarity with one or more orchestration frameworks: LangChain, CrewAI, AutoGen (or equivalents). Qualification: Bachelor’s degree in Engineering or related field. 5+ years in backend/devops roles, with 2+ years in AI workflow orchestration.

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. COMPUTER VISION & EDGE AI ENGINEER The CV + Edge AI Engineer develops AI solutions for visual understanding, document parsing, and multimodal processing. This role enables new use cases beyond text by integrating image, OCR, and edge-deployable AI capabilities. Key Duties/ Responsibilities Develop OCR and image processing pipelines using OpenCV, Tesseract, or AWS Textract. Train and fine-tune visual models (e.g., YOLOv8, SAM, CLIP) for internal PoCs. Integrate visual AI modules into end-to-end workflows used by LLMs or agents. Optimize models for edge deployments using ONNX, TensorRT, or TFLite. Collaborate with backend and AI teams for data structure alignment. Leadership Skills: Self-driven in visual AI exploration. Effective in prototyping and cross-functional collaboration. Ability to demonstrate impact through PoCs. Required Technical Skills: OpenCV, YOLOv8, SAM, BLIP2, Tesseract. ONNX, TensorRT, AWS Panorama, Jetson Nano. Python, PyTorch/TensorFlow, edge deployment toolchains. Experience with one or more visual AI stacks such as YOLOv8, SAM, CLIP, or equivalent. Capability to structure visual outputs for downstream agent or LLM processing. Qualification: Bachelor’s or Master's degree in Computer Science, AI/ML, Data Science, or related fields. Experience 4 + Years

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. Sr. Mechanical Engineer Responsibilities - For designing of new fixtures, creation of drawings, updating of existing designs, coordination with fabrication vendors for manufacturing of the fixtures. For support in Mechanical Test protocol creation, Test execution, identifying requirements for test set up, helping in dry run. Requirements Need to have 4 yr Mechanical/ Equivalent bachelor's degree ( Automobile/ Production) Min 1 year experience in CAD software - preferable Solid works Knowledge about basic materials used in fabrications. Basic knowledge on Strength of materials, manufacturing methods, 3-D printing. Good to have Mechanical Testing experience. Good medical device experience. Experience (3-6) Years

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. SAP Consultant We are seeking an experienced SAP Functional Consultant with strong domain knowledge in the manufacturing industry. This role will primarily focus on designing, configuring, and deploying solutions in SAP Business One, while contributing to the evolution of our team’s expertise towards SAP S/4HANA for larger and more advanced projects in the future. Key Responsibilities: Lead the design, configuration, and implementation of SAP Business One modules relevant to manufacturing operations, including Production, Inventory, Purchasing, Sales, and Finance. Conduct detailed requirements gathering workshops with business stakeholders and translate business processes into effective ERP solutions. Develop functional specifications for necessary customizations and work closely with technical teams and partners. Configure and test SAP B1 modules according to best practices and approved functional designs. Provide practical expertise on manufacturing industry standards such as BOMs, production orders, MRP, inventory management, and basic costing. Support master data setup, data migration, user acceptance testing (UAT), and end-user training. Provide post-implementation support and continuous improvement recommendations. Collaborate with cross-functional teams to ensure smooth project delivery and alignment with overall business objectives. Must have a solid understanding of SAP Business One core functional areas — including Purchasing, Inventory, Production, Sales, and Financials — with the ability to design and support processes aligned with traditional SAP domains such as MM, FICO, PP, and SD Assist in defining processes that will lay the foundation for future adoption of SAP S/4HANA. Required Skills & Experience: 6 to 9 years of strong SAP consulting experience, with at least 3 years focused on SAP Business One or equivalent ERP for manufacturing. In-depth understanding of discrete manufacturing processes, including procurement, production planning, inventory control, and quality assurance. Solid understanding of production processes, inventory flows, BOMs, routings, and work centers Strong problem-solving and root-cause analysis skills for SAP-related issues. Proficient in documenting business requirements and translating them into SAP functional solutions. Relevant SAP certifications (B1 or S/4HANA) will be an advantage Preferred Qualifications: SAP certification in relevant modules is a plus. Background in discrete manufacturing industries such as automotive, industrial equipment, or electronics. Familiarity with integration of SAP with MES or plant automation systems. Exposure to Agile or hybrid project delivery methodologies. Soft Skills: Excellent communication and stakeholder management. Analytical thinker with attention to detail. Strong ownership mindset and ability to work independently or in teams. Ability to deliver under tight deadlines and shifting priorities. Experience 10+ Years

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. Job Title: Senior Python Backend Developer We are seeking a Senior Python Backend Developer with extensive experience in FastAPI, databases, and microservices architecture. The ideal candidate will have at least 4 years of backend development experience, demonstrate strong leadership capabilities, and be comfortable collaborating directly with clients to gather requirements and drive the development process. Experience with cloud platforms (AWS, GCP, or Azure) is highly desirable. Key Responsibilities: Design, develop, and maintain robust and scalable backend services using Python and FastAPI. Architect and implement microservices-based solutions, ensuring high availability and performance. Collaborate with front-end developers, DevOps engineers, and QA teams to deliver end-to-end solutions. Design and optimize database schemas, queries, and performance tuning (SQL and NoSQL). Lead a team of developers, mentor junior team members, and oversee code quality through code reviews. Gather and analyze technical and business requirements directly from clients and stakeholders. Contribute to architectural decisions and technology strategy. Ensure adherence to best practices in software development, security, and deployment. Monitor system health, troubleshoot issues, and drive continuous improvement. Required Skills and Qualifications: Minimum 4 years of professional experience in backend development using Python. Strong experience with FastAPI or similar modern Python frameworks (e.g., Flask, Django REST Framework). Deep understanding of RESTful APIs, asynchronous programming, and API versioning. Solid knowledge of relational (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB, Redis). Expertise in designing and building microservices architectures. Familiarity with Docker, CI/CD pipelines, and version control systems (e.g., Git). Strong problem-solving skills and the ability to troubleshoot production issues. Excellent communication skills – both verbal and written. Proven ability to lead teams, manage tasks, and deliver projects on time. Insurance domain knowledge is preferred Preferred Qualifications: Experience with cloud services such as AWS, GCP, or Azure. Knowledge of event-driven architectures, message brokers (e.g., RabbitMQ, Kafka). Exposure to infrastructure as code tools (e.g., Terraform, CloudFormation). Prior experience working in Agile/Scrum environments. Experience: 4- 7 Years

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. We are seeking a Senior Python Backend Developer with extensive experience in FastAPI, databases, and microservices architecture. The ideal candidate will have at least 4 years of backend development experience, demonstrate strong leadership capabilities, and be comfortable collaborating directly with clients to gather requirements and drive the development process. Experience with cloud platforms (AWS, GCP, or Azure) is highly desirable. Key Responsibilities: - Design, develop, and maintain robust and scalable backend services using Python and FastAPI. - Architect and implement microservices-based solutions, ensuring high availability and performance. - Collaborate with front-end developers, DevOps engineers, and QA teams to deliver end-to-end solutions. - Design and optimize database schemas, queries, and performance tuning (SQL and NoSQL). - Lead a team of developers, mentor junior team members, and oversee code quality through code reviews. - Gather and analyze technical and business requirements directly from clients and stakeholders. - Contribute to architectural decisions and technology strategy. - Ensure adherence to best practices in software development, security, and deployment. - Monitor system health, troubleshoot issues, and drive continuous improvement. Required Skills and Qualifications: - Minimum 4 years of professional experience in backend development using Python. - Strong experience with FastAPI or similar modern Python frameworks (e.g., Flask, Django REST Framework). - Deep understanding of RESTful APIs, asynchronous programming, and API versioning. - Solid knowledge of relational (PostgreSQL, MySQL) and/or NoSQL databases (MongoDB, Redis). - Expertise in designing and building microservices architectures. - Familiarity with Docker, CI/CD pipelines, and version control systems (e.g., Git). - Strong problem-solving skills and the ability to troubleshoot production issues. - Excellent communication skills both verbal and written. - Proven ability to lead teams, manage tasks, and deliver projects on time. - Insurance domain knowledge is preferred. Preferred Qualifications: - Experience with cloud services such as AWS, GCP, or Azure. - Knowledge of event-driven architectures, message brokers (e.g., RabbitMQ, Kafka). - Exposure to infrastructure as code tools (e.g., Terraform, CloudFormation). - Prior experience working in Agile/Scrum environments. Experience: 4-7 Years,

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. Sales Professional – EV Charging Solutions Job Summary/Overview: We are seeking a highly motivated and experienced Sales Professional with 5-10 years of proven success in technology sales, preferably within the EV domain or IoT, sectors. The ideal candidate will be instrumental in driving the adoption of our EV charger management solution platform and identifying strategic customers for new charging station deployments. Identify, prospect, and qualify new business opportunities within target segments (e.g., fleet operators, commercial properties, public charging networks, municipalities, automotive OEMs, residential developers). Develop and execute comprehensive sales strategies to secure new clients . Navigate complex sales cycles, from initial contact to contract negotiation and close, ensuring alignment with company revenue goals. Present and articulate the unique value proposition of our EV charger management platform, demonstrating how it solves customer pain points related to charging infrastructure operation, monetization, and user experience. Collaborate with pre-sales and technical teams to provide compelling product demonstrations and tailor solutions to meet specific client requirements. Stay abreast of industry trends, and competitor activities in the EV charging space. Build and maintain strong, long-lasting relationships with key decision-makers and stakeholders at prospective and existing client organizations. Act as a trusted advisor, understanding client needs and guiding them through their EV charging infrastructure journey. Manage sales pipeline effectively to ensure accurate forecasting and reporting. Prepare detailed proposals, contracts, and sales presentations. Participate in industry events, conferences, and trade shows to represent the company and generate leads. Collaborate with installation partners and hardware providers to deliver integrated charging station solutions. The candidate should own a two-wheeler and be willing to travel extensively across Kerala Qualifications: Bachelor’s degree in business, Marketing, Engineering, or a related field. 5-10 years of progressive sales experience in B2B/B2C technology sales, with a strong preference for backgrounds in EV charging, energy management, IoT, SaaS, or related infrastructure solutions. Demonstrable track record of consistently meeting or exceeding sales targets. Excellent communication, presentation, and negotiation skills. Proven ability to manage complex sales cycles and build robust pipelines. Strong understanding of sales methodologies (e.g., Solution Selling, Challenger Sale). Ability to travel as required to meet clients and attend industry events. Preferred Skills : Network of contacts within relevant industries (e.g., commercial real estate, fleet management, automotive, utilities). Good understanding of the EV charging ecosystem. Experience selling software platforms is a significant plus. Self-motivated, results-driven, and capable of working independently as well as part of a team. Experience Level: 5-10 Years

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. Embedded C++ Linux Developer Job Summary/Overview: Design, develop, test, and debug embedded software applications for Linux-based systems. Work on the full software development lifecycle for various embedded devices and hardware platforms. Collaborate with cross-functional teams (hardware, QA, product management) to deliver integrated solutions. Ensure the reliability, performance, and scalability of embedded software. Key Responsibilities: Software Development: Design, develop, and maintain embedded software in C++ (often C++11/14/17 or newer) for Linux-based embedded systems. Write efficient, robust, and optimized code for resource-constrained environments. Implement and optimize low-level drivers, communication protocols (e.g., I2C, SPI, UART, CAN, Ethernet, USB), and system software. Work on user-space applications, daemons, and shared libraries. Develop firmware for various hardware platforms, including microcontrollers, microprocessors, and SoCs (System-on-Chips). Linux Specifics: Strong experience with Linux operating systems, including kernel and device driver development. Hands-on experience with building, configuring, and customizing the Linux kernel. Familiarity with Linux OS internals, memory management, inter-process communication (IPC), and thread programming. Experience with tools like the Yocto Project (for building custom Linux distributions), BusyBox, Buildroot, etc. Knowledge of device trees and hardware abstraction layers. Experience with command-line tools and scripting (Bash). Debugging and Testing: Perform system-level debugging and troubleshooting on target hardware platforms. Utilize debugging tools such as GDB, JTAG, oscilloscopes, logic analyzers, and hardware-in-the-loop (HIL) testing. Conduct unit testing, integration testing, and system validation. Participate in code reviews to ensure code quality, maintainability, and adherence to coding standards (e.g., MISRA for safety-critical systems). Architecture and Design: Contribute to system-level design decisions and participate in requirement analysis, architecture definition, and software implementation. Apply object-oriented analysis and design (OOAD) principles and software design patterns. Optimize software for performance, including memory usage, processing speed, and energy efficiency Collaboration and Documentation: Collaborate with hardware engineers to ensure seamless integration of software and hardware components. Work effectively in Agile/Scrum teams. Create and maintain technical documentation for software design, code, and test procedures. Problem-Solving: Strong analytical and problem-solving skills to diagnose and resolve complex technical issues. Ability to work independently and collaboratively Required Skills and Qualifications: Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Experience: Typically 3+ years for a developer role or 3+ years for a senior role. Technical Skills: Strong Proficiency in C++ (modern C++ standards preferred). Strong understanding of embedded systems concepts, including real-time constraints, memory management, and hardware-software interaction. Hands-on experience with Embedded Linux, including kernel, device drivers, and user-space application development. Experience with multithreading and synchronization. Familiarity with communication protocols (I2C, SPI, UART, CAN, Ethernet, USB, etc.). Experience with version control systems (Git is common). Experience with build systems (CMake, Make). Knowledge of RTOS (Real-Time Operating Systems) concepts (even if primary focus is Linux). Knowledge of GRPC protocol and docker containers Soft Skills: Excellent problem-solving and debugging skills. Strong verbal and written communication skills. Ability to work independently and as part of a team. Quick learner, self-starter, and results-oriented. Nice-to-Have Skills (Preferred/Good to Have): Experience with specific processor architectures (ARM, PowerPC, x86). Knowledge of specific industries (Automotive - ISO 26262, Industrial Automation, IoT, Medical Devices). Experience with CI/CD pipelines and automated testing frameworks. Familiarity with virtualization technologies (Docker) in embedded contexts. Experience with scripting languages like Python for automation or testing. Contributions to open-source projects related to embedded systems or Linux. Experience with specific network protocols (TCP/IP, HTTP, REST, WebSockets). Work Environment (often mentioned): Agile/Scrum methodology Collaborative team environment Work from office

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. Sales Professional – EV Charging Solutions Job Summary/Overview: We are seeking a highly motivated and experienced Sales Professional with 5-10 years of proven success in technology sales, preferably within the EV domain or IoT, sectors. The ideal candidate will be instrumental in driving the adoption of our EV charger management solution platform and identifying strategic customers for new charging station deployments. Identify, prospect, and qualify new business opportunities within target segments (e.g., fleet operators, commercial properties, public charging networks, municipalities, automotive OEMs, residential developers). Develop and execute comprehensive sales strategies to secure new clients . Navigate complex sales cycles, from initial contact to contract negotiation and close, ensuring alignment with company revenue goals. Present and articulate the unique value proposition of our EV charger management platform, demonstrating how it solves customer pain points related to charging infrastructure operation, monetization, and user experience. Collaborate with pre-sales and technical teams to provide compelling product demonstrations and tailor solutions to meet specific client requirements. Stay abreast of industry trends, and competitor activities in the EV charging space. Build and maintain strong, long-lasting relationships with key decision-makers and stakeholders at prospective and existing client organizations. Act as a trusted advisor, understanding client needs and guiding them through their EV charging infrastructure journey. Manage sales pipeline effectively to ensure accurate forecasting and reporting. Prepare detailed proposals, contracts, and sales presentations. Participate in industry events, conferences, and trade shows to represent the company and generate leads. Collaborate with installation partners and hardware providers to deliver integrated charging station solutions. The candidate should own a two-wheeler and be willing to travel extensively across Kerala Qualifications: Bachelor’s degree in business, Marketing, Engineering, or a related field. 5-10 years of progressive sales experience in B2B/B2C technology sales, with a strong preference for backgrounds in EV charging, energy management, IoT, SaaS, or related infrastructure solutions. Demonstrable track record of consistently meeting or exceeding sales targets. Excellent communication, presentation, and negotiation skills. Proven ability to manage complex sales cycles and build robust pipelines. Strong understanding of sales methodologies (e.g., Solution Selling, Challenger Sale). Ability to travel as required to meet clients and attend industry events. Preferred Skills : Network of contacts within relevant industries (e.g., commercial real estate, fleet management, automotive, utilities). Good understanding of the EV charging ecosystem. Experience selling software platforms is a significant plus. Self-motivated, results-driven, and capable of working independently as well as part of a team. Experience Level: 5-10 Years

Joining our team at Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. As a SAP Consultant at our organization, you will be responsible for leading the design, configuration, and implementation of SAP Business One modules relevant to manufacturing operations. Your role will involve conducting detailed requirements gathering workshops with business stakeholders, translating business processes into effective ERP solutions, and developing functional specifications for necessary customizations. Key Responsibilities: - Lead the design, configuration, and implementation of SAP Business One modules related to manufacturing operations. - Conduct detailed requirements gathering workshops with business stakeholders. - Develop functional specifications for necessary customizations and work closely with technical teams and partners. - Configure and test SAP B1 modules according to best practices and approved functional designs. - Provide expertise on manufacturing industry standards such as BOMs, production orders, MRP, inventory management, and basic costing. - Support master data setup, data migration, user acceptance testing (UAT), and end-user training. - Provide post-implementation support and continuous improvement recommendations. - Collaborate with cross-functional teams to ensure smooth project delivery and alignment with overall business objectives. - Assist in defining processes for future adoption of SAP S/4HANA. Required Skills & Experience: - 6 to 9 years of strong SAP consulting experience, with at least 3 years focused on SAP Business One or equivalent ERP for manufacturing. - In-depth understanding of discrete manufacturing processes. - Strong problem-solving skills for SAP-related issues. - Proficient in documenting business requirements and translating them into SAP functional solutions. - Relevant SAP certifications (B1 or S/4HANA) will be an advantage. Preferred Qualifications: - SAP certification in relevant modules. - Background in discrete manufacturing industries. - Familiarity with integration of SAP with MES or plant automation systems. - Exposure to Agile or hybrid project delivery methodologies. Soft Skills: - Excellent communication and stakeholder management. - Analytical thinker with attention to detail. - Strong ownership mindset and ability to work independently or in teams. - Ability to deliver under tight deadlines and shifting priorities. Experience: - 10+ Years,

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. We are currently looking for a Computer Vision Engineer to join our team. The ideal candidate should have 3-4 years of experience and possess a strong background in image processing, deep learning, and machine learning techniques. Hands-on experience in developing and deploying computer vision applications is also required. As a Computer Vision Engineer at Gadgeon, your responsibilities will include: - Designing, developing, and optimizing computer vision algorithms for tasks such as object detection, tracking, segmentation, depth estimation, and activity recognition. - Implementing and training deep learning models using frameworks such as TensorFlow, PyTorch, and OpenCV. - Processing and analyzing large-scale image and video datasets to extract meaningful insights. - Developing and optimizing deep learning pipelines, including dataset preparation, model training, evaluation, and deployment. - Working with multiple camera inputs and multimodal data for real-time applications. - Collaborating with software engineers and data scientists to integrate computer vision models into production environments. - Researching and implementing the latest advancements in computer vision and deep learning. - Debugging and troubleshooting issues in vision-based applications, optimizing for accuracy and performance. - Working on AI infrastructure, machine learning accelerators, and on-device optimization. Required Qualifications: - B.Tech in Computer Science, Electrical Engineering, Electronics, or a related field. - Hands-on experience developing learning algorithms for computer vision tasks such as object detection, object tracking, segmentation, optical flow, and multi-view geometry. - Strong understanding of deep learning architectures, representational learning, and domain adaptation. - Ability to train, debug, and deploy deep learning models, iterating on failure characterization and model improvement. - Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, and TensorRT. - Experience working with multiple input sources such as cameras, LiDAR, and embedded controllers. - Hands-on experience with MLOps tools and methods is a plus. - Familiarity with AI infrastructure, machine learning accelerators, and on-device optimization. - Strong programming skills with experience in C++, Python, or C#. - Experience with version control tools such as Git and development in Linux environments. - Highly motivated individual with a strong work ethic, the ability to work independently, and adaptability to a fast-paced environment. Preferred Qualifications: - Experience in 3D computer vision, SLAM, or LiDAR processing. - Knowledge of adversarial and generative models. - Exposure to hardware acceleration and embedded AI deployment. - Strong understanding of software development best practices and performance optimization.,

Joining Gadgeon offers a dynamic and rewarding career experience that fosters both personal and professional growth. Our collaborative culture encourages innovation, empowering team members to contribute their ideas and expertise to cutting-edge projects. We are seeking a Principal Data Engineer with over 10 years of experience. In this high-impact role, you will be responsible for defining and driving the data architecture strategy, guiding technical teams, and ensuring robust, scalable, and secure database systems that support business-critical applications. You will work autonomously and directly with stakeholders across engineering, infrastructure, and product leadership, influencing decisions related to GCP Cloud SQL, GKE, relational and non-relational databases (including Cassandra and Couchbase), while also managing complex database challenges. Key Responsibilities: - Define and lead the overall data architecture strategy across cloud and hybrid environments, in alignment with business and technical goals. - Collaborate directly with leadership to drive key architectural decisions. - Provide deep, hands-on expertise in GCP Cloud SQL and containerized database deployment using Google Kubernetes Engine (GKE). - Architect and optimize relational database solutions using PostgreSQL, MySQL, and MS SQL Server. - Design and implement NoSQL data solutions including Cassandra, Couchbase, and other scalable data stores. - Lead end-to-end planning and execution of complex data engineering tasks, including schema design, performance tuning, high availability, and disaster recovery. - Handle and coordinate P1 incident responses, conducting root cause analysis and designing long-term mitigation plans. - Guide and mentor internal database teams, fostering technical quality and architectural consistency. - Automate database provisioning, scaling, and maintenance using modern DevOps and infrastructure-as-code tools. - Provide architectural documentation and recommendations for scalability, security, compliance, and cost efficiency. Skills: - 10+ years of experience in data engineering and architecture, including hands-on cloud and database infrastructure leadership. - Proven expertise in Google Cloud Platform (GCP) especially Cloud SQL and GKE. - Strong hands-on background in relational databases: PostgreSQL, MySQL, MS SQL Server - Deep knowledge and implementation experience with NoSQL technologies: Cassandra, Couchbase, [optionally MongoDB, Redis, etc.] - Experience in independent or consulting roles, capable of working with minimal supervision and maximum ownership. - Proven ability to manage and resolve high-severity incidents and communicate resolution paths to leadership. - Strong scripting and automation skills (e.g., Python, Terraform, Bash). - Familiarity with CI/CD, container orchestration, and observability practices for modern data infrastructure. - Background in supporting data compliance, governance, and cost optimization in cloud environments. Why Join Us: - Work with a team that values deep security thinking over checkbox compliance. - Experiment with tools, techniques, and platforms to continuously simulate, validate, and improve. - Collaborate across teams that respect security as a partner, not a blocker. - Build scalable security strategies in a growing, tech-driven organization. Experience: - 10+ Years,