47 Lora Jobs

You will be responsible for developing and maintaining embedded firmware for wireless sensor nodes utilizing BLE, LoRa, and Wi-Fi technologies. This includes customizing and implementing BLE services and characteristics for specific applications and integrating LoRa modules for long-range data transmission while developing fundamental network protocols. You will collaborate with Wi-Fi-enabled MCUs, such as ESP32, for gateway development and data forwarding. Implementing power-efficient logic through the utilization of deep sleep modes and event-based wakeups will be a key aspect of your role. Additionally, you will be involved in hardware bring-up, basic board testing, and sensor interfacing tasks. Your responsibilities will also include providing support for field testing, logging, and debugging to optimize wireless communication performance. Techvynsys Solutions is an ISO 9001 Certified company that offers a wide range of technological and engineering services to industries, particularly focusing on oil and gas as well as petrochemical processes. As a leading Services Company, Techvynsys has made significant contributions to the technological and engineering sectors. Our emphasis on attracting exceptional talent externally ensures business survival and success in today's competitive landscape. In addition to technological solutions for the mechanical sector, Techvynsys provides Recruitment Services, Technical Manpower Supply, and Project Execution Services. We also specialize in Annual Shutdown Maintenance Contracts (AMC) to cater to the diverse needs of our clientele.,

You should have 3 to 10 years of experience in AI development and be located in Coimbatore. Immediate joiners are preferred. A minimum of 2 years of experience in core Gen AI is required. As an AI Developer, your responsibilities will include designing, developing, and fine-tuning Large Language Models (LLMs) for various in-house applications. You will implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Additionally, you will develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Building and managing data pipelines for processing, transforming, and feeding structured/unstructured data into AI models will be part of your role. It is essential to ensure scalability, performance, and security of AI-driven solutions in production environments. Collaboration with cross-functional teams, including data engineers, software developers, and product managers, is expected. You will conduct experiments and evaluations to improve AI system accuracy and efficiency while staying updated with the latest advancements in AI/ML research, open-source models, and industry best practices. You should have strong experience in LLM fine-tuning using frameworks like Hugging Face, DeepSpeed, or LoRA/PEFT. Hands-on experience with RAG architectures, including vector databases such as Pinecone, ChromaDB, Weaviate, OpenSearch, and FAISS, is required. Experience in building AI agents using LangChain, LangGraph, CrewAI, AutoGPT, or similar frameworks is preferred. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is necessary. Experience in Python web frameworks such as FastAPI, Django, or Flask is expected. You should also have experience in designing and managing data pipelines using tools like Apache Airflow, Kafka, or Spark. Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes) is essential. Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, Llama, etc.) and their integration in applications is a plus. A strong understanding of vector search, embedding models, and hybrid retrieval techniques is required. Experience with optimizing inference and serving AI models in real-time production systems is beneficial. Experience with multi-modal AI (text, image, audio) and familiarity with privacy-preserving AI techniques and responsible AI frameworks are desirable. Understanding of MLOps best practices, including model versioning, monitoring, and deployment automation, is a plus. Skills required for this role include PyTorch, RAG architectures, OpenSearch, Weaviate, Docker, LLM fine-tuning, ChromaDB, Apache Airflow, LoRA, Python, hybrid retrieval techniques, Django, GCP, CrewAI, OpenAI, Hugging Face, Gen AI, Pinecone, FAISS, AWS, AutoGPT, embedding models, Flask, FastAPI, LLM APIs, DeepSpeed, vector search, PEFT, LangChain, Azure, Spark, Kubernetes, AI Gen, TensorFlow, real-time production systems, LangGraph, and Kafka.,

Your future role Take on a new challenge and apply your expertise in Integrated Support and Reliability (ISR) to a cutting-edge field. Youll work alongside collaborative, forward-thinking, and detail-oriented teammates. You'll play a key role in shaping maintenance strategies by influencing design for serviceability (DFS) and integrating predictive maintenance requirements (PHM: Prognostics & Health Management). Day-to-day, youll work closely with cross-functional teams, including Engineering, Industrial Regions, and Central ILS Platform Functions, to ensure service readiness, oversee LSA deliverables, and manage relationships with subcontractors and suppliers. Youll specifically take care of defining maintenance plans and LSA elements (e.g., MTA, LCC, LORA, RCM), as well as spare part allocation for provisional use, but also validate support solutions and associated documentation or training toolkits. Well look to you for: Identifying performance allocations in compliance with design-for-serviceability targets Managing LSA activities to deliver QCD (Quality, Cost, Delivery) commitments Writing and implementing LSA management plans Ensuring the proper application of DfS on subsystems and components Defining and maintaining the Logistic Breakdown Structure (LBS) aligned with the Design Engineering BOM Collaborating with sourcing teams to ensure ISR requirements are met Validating technical maintenance documentation and training toolkits Capitalizing data to improve QCD for future projects All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Engineering University Degree or equivalent (mandatory); LSA specialization (desirable) 5 years of experience in ISR, with expertise in LSA engineering and maintainability studies Familiarity with maintainability studies on railway equipment Knowledge of ISR elements, including RAMS, LORA, RCM, and LCC Fluency in English Strong people management, communication, and decision-making skills Attention to detail and a proactive, self-motivated mindset Experience in maintenance execution (desirable)

Your future role Take on a new challenge and apply your expertise in Integrated Support and Reliability (ISR) to a cutting-edge field. Youll work alongside collaborative, forward-thinking, and detail-oriented teammates. You'll play a key role in shaping maintenance strategies by influencing design for serviceability (DFS) and integrating predictive maintenance requirements (PHM: Prognostics & Health Management). Day-to-day, youll work closely with cross-functional teams, including Engineering, Industrial Regions, and Central ILS Platform Functions, to ensure service readiness, oversee LSA deliverables, and manage relationships with subcontractors and suppliers. Youll specifically take care of defining maintenance plans and LSA elements (e.g., MTA, LCC, LORA, RCM), as well as spare part allocation for provisional use, but also validate support solutions and associated documentation or training toolkits. Well look to you for: Identifying performance allocations in compliance with design-for-serviceability targets Managing LSA activities to deliver QCD (Quality, Cost, Delivery) commitments Writing and implementing LSA management plans Ensuring the proper application of DfS on subsystems and components Defining and maintaining the Logistic Breakdown Structure (LBS) aligned with the Design Engineering BOM Collaborating with sourcing teams to ensure ISR requirements are met Validating technical maintenance documentation and training toolkits Capitalizing data to improve QCD for future projects All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Engineering University Degree or equivalent (mandatory); LSA specialization (desirable) 10 years of experience in ISR, with expertise in LSA engineering and maintainability studies Familiarity with maintainability studies on railway equipment Knowledge of ISR elements, including RAMS, LORA, RCM, and LCC Fluency in English Strong people management, communication, and decision-making skills Attention to detail and a proactive, self-motivated mindset Experience in maintenance execution (desirable) Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership roles in ISR or related fields Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)

As an IoT Engineer, you will collaborate closely with customers to develop tailored solutions to meet their requirements. This involves selecting the most suitable sensors and radio technology based on the specific needs of the customer. Your role will include engaging in meetings with clients to assist them in navigating through the process of implementing their IoT projects. If you possess practical experience in hardware design, microcomputers, and have a keen interest in the IoT field, we encourage you to share your profile. Your responsibilities will encompass understanding business requirements and formulating designs, integrating cutting-edge technologies into new systems, and products, as well as testing, troubleshooting, and debugging products. You will be accountable for the architecture and implementation of critical components, with a focus on enhancing the efficiency and functionality of existing systems and products. Proficiency in sensors, wireless communication, C/C++, Python, Arduino language, as well as familiarity with Raspberry Pi, Arduino, ESP32, and STM development boards is essential. Additionally, basic experience in working with PCBs is required. Ideal candidates will have domain expertise in IoT/M2M, GSM/GPS, device management, and telecom. A strong understanding of protocols and standards such as HTTP, MQTT, ZigBee, BLE, WiFi, CoAP, and WebSocket is preferred. Knowledge of M2M verticals including SmartGRID, SmartHome/SmartCity, Agriculture, Advertisement, Automotive, and Healthcare industries is advantageous. Key skills for this role include proficiency in ESP Boards, ARM, AVR controllers, Python/Micro Python, NodeJs, RF communication, LORA, LORAWAN, MQTT, AMQP, HTTP/HTTPS, BLE/COAP, and Embedded C. The ideal candidate will hold a B.Tech/B.E. degree in Electronics/Telecommunication, Instrumentation, or Computers. This is a full-time position located in Udyog Vihar Phase V, Gurgaon, with a five-day work week schedule and fixed weekends off.,

Your future role Take on a new challenge and apply your expertise in maintainability and life cycle cost analysis in a cutting-edge field. Youll work alongside collaborative, innovative, and detail-oriented teammates. You'll play a critical role in influencing the design and maintenance strategies for railway equipment, ensuring optimal performance and cost-effectiveness. Day-to-day, youll work closely with teams across the business (Engineering, Industrial, Operations, ISR), liaise with subcontractors and equipment suppliers, and lead the development of LCC models and tools, and much more. Youll specifically take care of creating and refining LCC models, but also support project planning and financial processes to optimize long-term outcomes. Well look to you for: Developing and maintaining LCC models and tools aligned with corporate standards. Documenting and implementing business processes for LCC variance analysis and reporting. Facilitating regular LCC reviews and providing auditable change control. Preparing LCC models for SPR submissions and modeling options/variations. Managing risks and identifying savings related to LCC. Collaborating with Quality and SQA teams on CONQ identification and capture. Analyzing data for fleet and engineering departments to propose improvement strategies. Promoting the use of standard LCC practices compliant with international standards and Alstom procedures. Capitalizing on data to improve QCD on future projects. All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Engineering University Degree or equivalent (mandatory). Experience or understanding of maintainability studies, particularly in railway equipment (mandatory). Familiarity with LCC elements such as RAMS, LORA, RCM, and LCC modeling. Knowledge of planning processes and financial reporting. Strong decision-making and critical thinking skills. Fluency in English with excellent communication skills. Attention to detail and a self-motivated, team-oriented mindset. Desirable: LCC specialization and experience in maintenance execution. Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines. Work with new security standards for rail signalling. Collaborate with transverse teams and helpful colleagues. Contribute to innovative projects. Utilise our inclusive and flexible working environment. Steer your career in whatever direction you choose across functions and countries. Benefit from our investment in your development, through award-winning learning. Progress towards opportunities in project management, engineering leadership, or other roles. Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension). You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you!workplace for everyone.

Design and develop embedded firmware for new and existing metering products. Collaborate with hardware engineers to define system requirements and architecture. Implement and debug firmware on various microcontroller platforms. Develop and execute test plans to ensure firmware functionality and performance. Optimize firmware for performance, memory usage, and power consumption. Document firmware design, code, and test procedures. Provide technical support for firmware-related issues during production and post-production. Stay updated with the latest industry trends and technologies in embedded systems and firmware development. Required Qualifications: Bachelors or Masters degree in Electrical/Electronics Engineering, Computer Engineering, Computer Science, or a related field. Minimum of 5 years of experience in embedded firmware development. Proficiency in programming languages such as C and C++. Extensive experience with STM32 microcontroller architectures. Knowledge of real-time operating systems (RTOS) and embedded Linux. Familiarity with communication protocols (e.g., I2C, SPI, UART, CAN). Experience with version control systems (e.g., Git). Strong problem-solving skills and attention to detail. Excellent verbal and written communication skills. Ability to work effectively in a team environment. Preferred Qualifications: Experience with metering systems and technologies. Experience with hardware debugging tools (e.g., oscilloscopes, logic analyzers). Knowledge of wireless communication protocols (e.g., Bluetooth, Wi-Fi, Zigbee, LoRa). Experience in developing firmware for safety-critical applications. Immediate joiner will be preferred

As an Embedded Development Engineer with up to 3 years of experience, you will be responsible for designing and developing embedded systems. You should hold a bachelor's degree in Electronics and Communication, Electrical and Computer Science, Computer Engineering, or a related field. Your proficiency in programming languages such as C and C++ will be essential for this role. Your strong knowledge of hardware architecture, including ARM, MIPS, and x86, will enable you to work effectively on embedded systems. Familiarity with hardware protocols like USB, UART, I2C, and SPI is required. Experience with operating systems such as Linux, Unix, and RTOS will be beneficial. Your role will involve hands-on experience with communication protocols like Wi-Fi, LoRa, and 4G. Strong analytical and problem-solving skills will be necessary for troubleshooting and debugging embedded systems. You should also possess excellent diagnostic skills to identify and resolve issues efficiently. In this position, you will need to have strong organizational and project management skills to handle development, integration, and testing tasks effectively. The ability to stay updated with the latest technological advancements is crucial for this role. Familiarity with IDEs like Espressif-IDE and basic knowledge of electrical connections, cloud computing, and soldering will be advantageous. You may be required to travel to client sites for deployment, so candidates willing to travel alone or with a team should apply. The salary offered will be in line with market standards, with the option of ESOP for deserving candidates. Candidates willing to relocate to North Karnataka are preferred for this position.,

As a Prompt Engineer in the Artificial Intelligence/R&D department, you will play a vital role in building, optimizing, and testing natural language prompts to enhance the performance of large language models like OpenAI GPT, Claude, and Gemini. Your primary responsibilities will involve designing, writing, and optimizing natural language prompts to address specific business or product challenges. Working alongside data scientists, product managers, and engineering teams, you will contribute to the development of high-quality AI prompt systems for real-world applications. Your role will require you to analyze and test the impact of different prompts on model output quality, collaborating closely with product and development teams to create deployable prompt templates and interface logic. Additionally, you will be involved in establishing prompt libraries and prompt engineering frameworks to enhance prompt reusability and scalability. Staying updated on the latest prompt engineering technologies and research papers will be crucial, as you transform these insights into practical applications. To excel in this role, you must demonstrate proficiency in utilizing mainstream large-scale language models such as GPT-4, Claude, or Gemini. Strong language expression and logical thinking skills, along with expertise in prompt tuning, few-shot learning, and chain-of-thought prompt engineering methods, are essential. A bachelor's degree in a relevant field (computer science, linguistics, cognitive science) is required, with a preference for candidates with strong English reading abilities to understand model documents and research papers. Candidates with experience in actual Large Language Model (LLM) application projects, mastery of Python programming for rapid prototyping, and familiarity with dialogue systems, search engines, knowledge graphs, and RAG technologies will be given bonus points. Understanding model fine-tuning, LoRA, and system prompt structure, as well as familiarity with tool chains like LangChain, LlamaIndex, and OpenAI Function Calling, will be advantageous. In return, we offer a competitive salary and bonus system, the chance to work with cutting-edge AI technology, flexible working hours, and remote work options. Join our team of technology enthusiasts and innovators to embark on a rewarding career journey.,

As a Firmware Engineer with 3 to 5 years of experience and a B. Tech qualification, you will play a vital role in supporting the firmware development team for designing, developing, and producing firmware-supported products. Your responsibilities will include testing, documentation, and establishing firmware standards. Your key responsibilities will involve developing Embedded Firmware in C and C++ for 32/16/8-bit microcontrollers. You should have prior experience with microcontrollers such as STM32, MSP430, IMX, PIC32, and knowledge of at least one Real-Time Operating System (RTOS). Experience in working with peripherals like SPI, UART, I2C, and proficiency in tools like IAR, Keil, debuggers, MPLAB, and code composer will be essential. Additionally, familiarity with protocols like Zigbee, LoRa, Sigfox, Modbus, Profibus, or foundation field bus is mandatory. Prior experience in processor-based development and Linux driver, kernel, and bootloader development is highly desired. Knowledge of Version Control Systems (SVN, GitHub), basic hardware debugging skills, and tools such as CRO and Logic Analyzers are expected from the ideal candidate. Experience in Bootloader development will be an added advantage for this role.,

You will be joining Avenir Tech as a Senior Electronic Engineer based in Gurugram. In this role, you will be responsible for designing, developing, and validating electronic hardware with an emphasis on IoT systems, battery-powered devices, and multi-layer PCB development. Collaborating closely with cross-functional teams, you will lead the end-to-end process to deliver robust and production-ready solutions. Your main responsibilities will include leading the design and development of electronic systems, optimizing battery-powered IoT hardware, designing analog and digital circuits, executing hardware validation and testing, ensuring compliance with industry standards, and collaborating with software and firmware teams for seamless integration. Additionally, you will be involved in preparing technical documentation, contributing to project planning, reviews, and mentoring junior engineers. To qualify for this position, you should hold a Bachelor's or Master's degree in Electronic Engineering, Electrical Engineering, or a related field with a minimum of 5 years of hands-on experience in electronic product design and development. Proficiency in circuit design, analog/digital electronics, sensor integration, IoT hardware, PCB design tools, testing and debugging tools, compliance standards, and strong problem-solving skills are essential. Excellent communication, collaboration, and leadership abilities are also valuable assets for this role. If you are passionate about electronic engineering, IoT systems, and digital transformation and possess the required qualifications and experience, we encourage you to apply for this exciting opportunity at Avenir Tech. Join us in shaping the future together through innovative solutions and cutting-edge technologies.,

We are seeking individuals who are passionate and share our vision to be a part of our exciting journey. Our work environment fosters free thinking and thrives on innovative ideas. As a part of our team, your role and responsibilities will include developing robust embedded system devices, actively participating in designing architecture, communication protocols, and selecting appropriate technology. You will be involved in hardware designing such as schematic designing, BOM finalization, and defining test procedures, as well as firmware development. The ideal candidate should possess experience in circuit designing, component selection, and PCB layout designing. Additionally, experience in firmware development on various microcontroller families like AVR, MSP430, STM32, Renesas, etc. is required. Proficiency in embedded C programming is essential, and knowledge of advanced debugging skills would be advantageous. Hands-on experience in wireless communication technologies such as BLE, Wi-Fi, Zigbee, LoRa, GSM/GPRS, NB-IoT is also necessary. Qualifications for this role include being a team player with excellent analytical and problems solving skills, along with a strong ability to quickly learn. A passion for developing products with new technologies is highly valued. A Bachelor's or Master's degree in electronics-related discipline or equivalent experience is required, with 2-4 years of relevant experience. The salary range for this position is 4 to 6 LPA; however, the actual salary will be based on experience, skills, and commitment. This job opportunity is located in Rabale, Navi Mumbai.,

About the Role We are looking for an experienced and visionary Generative AI Architect with 10-15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Required Skills Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring.

We are seeking a highly skilled IoT Engineer with 2-5 years of experience in IoT development and engineering, focusing on embedded systems and sensor integration. As an IoT Engineer, you will be responsible for designing, developing, and implementing connected devices and systems across various industries such as technology, manufacturing, and healthcare. Your role will involve integrating sensors, designing efficient IoT protocols, and collaborating with cloud platforms to create scalable IoT solutions. This position is ideal for individuals with a strong background in embedded systems, networking, and sensor integration. Your responsibilities will include designing and developing IoT solutions, collaborating with cross-functional teams to define project requirements, developing and maintaining firmware for IoT devices, working with cloud platforms for data management and analysis, ensuring the security of IoT devices and networks, and monitoring and troubleshooting IoT devices post-deployment. Key skills required for this role include proficiency in IoT protocols (e.g., MQTT, CoAP, HTTP), experience with cloud platforms (e.g., AWS IoT, Google Cloud IoT, Microsoft Azure IoT), understanding of networking protocols and embedded systems, knowledge of security protocols for IoT networks, experience in sensor integration, familiarity with wireless technologies, and proficiency in working with microcontrollers and embedded systems design. Essential skills for this position include strong programming proficiency in languages like C/C++, Python, or JavaScript, hands-on experience with microcontrollers and sensors, and practical experience with IoT device deployment and troubleshooting. Additionally, soft skills such as problem-solving, analytical thinking, effective communication, attention to detail, and adaptability are crucial for success in this role. This position is based in Santacruz, Mumbai. Interested candidates can send their resumes to universalhrsolutions24@gmail.com or contact +91-8369327922. Regards, Universal HR Solutions www.universalhrsolutions.in,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,

As an AI Specialist at our company based in Hyderabad, you will be responsible for training and fine-tuning LLMs such as LLaMA and Mistral to cater to company-specific use cases. You will play a vital role in customizing and optimizing model performance for seamless production deployment. Collaboration with internal teams for model integration and data pipelines will be a key aspect of your role. It is imperative that you stay abreast of the latest advancements in GenAI and LLM techniques to contribute effectively. To excel in this role, you must possess hands-on experience with LLMs and fine-tuning techniques. Your expertise in the specifics of vector database indexing will be highly beneficial. We are looking for someone with a robust background in advanced AI/ML techniques and database indexing, particularly in the context of production projects. Familiarity with technologies such as LoRA, QLoRA, RAG, and PEFT is desirable. Additionally, your knowledge of model evaluation, optimization, and GPU training will be crucial for success in this position.,

Our Team: Semtech Corporation is a leading supplier of analog and mixed-signal semiconductors for high-end consumer, enterprise computing, communications, and industrial equipment. As our future market opportunities have increased in recent years, we have continued to invest in disruptive analog platforms and have created innovative new solutions for a wide range of leading-edge products. The Wireless analog/digital and LoRa System teams located in our Neuchtel and Grenoble offices have unique expertise in system level solutions for Low Power Wireless Area Network (LPWAN) products. These teams are the worlds leaders for long range, low power, battery powered, wireless communication. The Semtech expertise cover a unique field from the antenna, analog & digital IC design, low power system, protocol, and cloud-based solutions. You will be part on the journey of the new LoRa and LoRaWAN System architecture. Job Summary: We are seeking an experienced and dynamic SoC Verification Manager to lead our verification team. The successful candidate will manage a team of up to 5 verification engineers, overseeing the verification of RTL designs to ensure the highest quality and performance of our wireless SoCs. This role involves team technical leadership, project management, and hands-on verification tasks. Responsibilities: Lead and manage a team of verification engineers, providing guidance, mentorship, and performance feedback.(20%) Ensure the definition and implementation of test and verification plans.(20%) Collaborate with design, architecture, and other cross-functional teams to ensure alignment on project goals and requirements.(10%) Monitor and analyse coverage reports to ensure thorough verification.(10%) Identify and resolve verification issues and bugs, ensuring timely project delivery.(10%) Continuously improve verification processes, methodologies, and tools.(10%) Manage project schedules, resources, and deliverables to meet deadlines.(10%)Lorawa Oversee the writing and debugging of SystemVerilog assertion.(10%) Minimum Qualifications: 8+ years of relevant experience in SOC verification. Bachelors or Masters degree in Electrical Engineering, Computer Engineering, or a related field. Proven experience in RTL design verification and team management. Proficiency in System Verilog and assertion-based verification. Strong understanding of test and verification plan definition and implementation. Experience with coverage-driven verification and coverage report generation. Familiarity with industry-standard verification tools (e.g., VCS, QuestaSim). Experience with SoC designverification. Knowledge of HVL methodology (UVM/OVM) with the most recent experience in UVM. Experience with formal verification. Experience taping out large SoC systems with embedded processor cores. Hands-on verification experience of Bus Fabric, NOC, AMBA-AHB/AXI based bus architecture in a UVM environment. Knowledge of Low Power Verification. Excellent problem-solving skills and attention to detail. Desired Qualifications Experience in wireless SoC design and verification. Knowledge of scripting languages (e.g., TCL, Python, Perl) for automation. Familiarity with version control systems (e.g., Git).

Mandatory Skills:: Machine Learning & Deep Learning Strong understanding of LLM architectures, transformers, and fine-tuning techniques. MLOps & DevOps Experience with CI/CD pipelines, model deployment, and monitoring. Vector Databases Knowledge of storing and retrieving embeddings efficiently. Prompt Engineering Ability to craft effective prompts for optimal model responses. Retrieval-Augmented Generation (RAG) Implementing techniques to enhance LLM outputs with external knowledge. Cloud Platforms Familiarity with AWS, Azure, or GCP for scalable deployments. Containerization & Orchestration Using Docker and Kubernetes for model deployment. Observability & Monitoring Tracking model performance, latency, and drift. Security & Ethics Ensuring responsible AI practices and data privacy. Programming Skills Strong proficiency in Python, SQL, and API development. Prefered Skills : Knowledge of Open-Source LLMs Familiarity with models like LLaMA, Falcon, and Mistral. Fine-Tuning & Optimization Experience with LoRA, quantization, and efficient training techniques. LLM Frameworks Hands-on experience with Hugging Face, LangChain, or OpenAI APIs. Data Engineering Understanding of ETL pipelines and data preprocessing. Microservices Architecture Ability to design scalable AI-powered applications. Explainability & Interpretability Techniques for understanding and debugging LLM outputs. Graph Databases Knowledge of Neo4j or similar technologies for complex data relationships. Collaboration & Communication Ability to work with cross-functional teams and explain technical concepts clearly. Mandatory Skills:: LLM Ops Experience: 3-5 Years

Position: Senior Embedded Engineer (CE712F RM 3057) Mode : Work From Office Must have : FreeRTOS, MCU, Embedded C Good to have : JIRA/Confluence, Git What you will do In this role, you will be part of product development team to manage & deliver new product functionalities, modify existing products functionalities or improve product functionalities as required. The Embedded Firmware Technical Lead will provide general supervision and technical guidance to the Embedded firmware development team in the design, development and test of programs in Fire detection systems. You will work within a multi-disciplined engineering team consisting of electronics engineers, mechanical engineers, firmware engineers, software engineers, programmers and scientists focusing on applied research and new technology innovations to provide new and improved products and solutions for our customers. How you will do it Architect and own the embedded firmware for fire detection system Design, Code & Test for embedded systems product and own the Plan, track and manage entire product development lifecycle working closely with Engineering manager Provide support to field engineers and internal stakeholders Guide and mentor junior members of the team for skill upgradation Maintain and support released NPIs in sustenance mode Identify & record metrics for product development and sustenance activities Liaise with other departments including Program management, Product Support, Technical Authors & SQA Prepare software design specifications, test plans, protocol specifications & feasibility study. Participate in project planning, effort estimation, Analysis, coding & unit testing. Lead team of firmware developers Create, update and support in form of review for different product documentation across different phases of development lifecycle like requirements, test plans etc. Participate in assisting Compliance, Approvals, factory testing with any necessary support Participate in product development meetings, design reviews and code reviews Prepare the documentation as per ISO QMS guidelines & Participate in Quality Management System reviews Makes recommendations for changes to firmware development guidelines & standards. Develop methods, metrics, techniques & evaluation criteria for algorithms, products, processes. Define guidelines for implementation of clean, well-structured code with proper abstraction and reusability Comply with and make recommendations for changes to established development guidelines and standards. Develop an in-depth understanding of the development realm through interaction with other groups, communication with external experts and suppliers and independent research. Work for estimation, design, analysis, coding and unit testing What we look for 9-12 years of hands-on experience on Embedded C, Microcontroller Driver development and RTOS. Good to have knowledge of C++ application development, Embedded Linux platform, middleware & application, IOT, Wireless protocols MQTT, ZigBee, LoRa Experience in team handling, scheduling and project planning Good exposure to Embedded bus protocols I2C, SPI, UART. Strong in analog and digital hardware and interfacing peripherals, microcontrollers. Good at Firmware design, architecture for complex product development Good experience working on NPIs and sustenance projects with good hold on the process front Experience on firmware development on Renesas, Microchip, ST microcontrollers and its tools is preferred. Should have good hands-on with Github, JIRA or any similar tools for version/source control Knowledge of Embedded firmware design and development practice; programming techniques and systems and language platforms. Good debugging skills with debuggers ICE, GDB, JTAG, chip programmer and should be a good mentor/guide to team Team leader experience on Estimation, Risks, planning and task allocation and tracking is must. Usage of tools like MPP, JIRA, confluence etc is preferred Good team leader experience working with at least 3-4 members team, data-driven approach to leadership. Self-motivated and a good team player, should be able to work independently with minimal supervision from Engineering Managers Specialized Skills: Strong communication, interpersonal, problem solving and presentation skills Thorough knowledge of the firmware development area Able to work independently or in a team environment Able to take ownership and work on project timelines Self-motivated, takes initiative to resolve issues Ability to problem solve through analysis of a situation where there are a variety of variables Strong business acumen, coaching and mentoring skills Strong proven leadership capabilities Knowledge of Six Sigma Methodologies or equivalent Knowledge of Fire Detection Systems or similar systems Demonstrated ability to engage and motivate a highly skilled technical team Preferred BE (ECE/EIE/ETC/EE) Degree in a technical field is required 9+ years of experience on embedded firmware development ****************************************************************************************************************************************** Job Category: Embedded HW_SW Job Type: Full Time Job Location: Pune Experience: 7-12 Years Notice period: 0-15 days,

About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 3500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. Please find below the job description. About the Role We are looking for an experienced and visionary Generative AI Architect with 8 -15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring. Required Skills Generative AI, LLM, GenAI

Job Title: IoT Firmware Developer Location: Bangalore Job Type: Full-Time About Us: Epiroc is a leading innovator in the IoT space for Mining and Construction industry, dedicated to creating cutting-edge solutions that connect the world. We are looking for a talented IoT Firmware Developer to join our dynamic team and help drive the development of our IoT devices. Job Description: As an IoT Firmware Developer, you will be responsible for developing and implementing firmware solutions for our IoT devices. The job extends to work on end-to-end solutions including application ware using different technology stack that brings great learnings along. You will work closely with our hardware and software teams to ensure seamless integration and optimal performance of our products. Key Responsibilities: Develop, test, and maintain firmware and edge software for IoT devices. Develop, test, and maintain applications for IoT devices. Collaborate with hardware engineers to design and implement firmware solutions. Identify hardware for potential new solutions, including determining necessary connections, protocols, and other requirements. Write efficient and testable code to meet specific requirements and ensure operational functionality Provide production support and troubleshoot issues related to firmware Drive the technical design, ongoing configuration, testing, and maintenance of IoT applications (new deployments and enhancements) Ensure software is optimized for performance, reliability, and power consumption. Stay updated with the latest industry trends and technologies to incorporate best practices into firmware development. Qualifications: Bachelors degree in computer science, Electrical Engineering, or a related field. Proven experience in developing firmware for IoT devices. Proficiency in embedded C / C++ programming languages Experience with IoT platforms Strong understanding of embedded systems and real-time operating systems (RTOS). Familiarity with communication protocols such as MQTT, HTTP, and CoAP. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Preferred Qualifications: Masters degree in a related field. Experience with wireless communication technologies (e.g., Bluetooth, Zigbee, LoRa). Knowledge and experience working with .NET technology stacks on applications in IoT domain Knowledge of security best practice for IoT devices. Knowledge and experience from Mining and Construction or similar industries. Experience with Agile development methodologies. What We Offer: Competitive salary and benefits package. Opportunity to work on innovative projects with a talented team. Professional development and growth opportunities. Flexible working hours and a supportive work environment.

Role & responsibilities Job Summary : We are seeking an experienced Firmware Engineer to join our IoT/IIoT team. The ideal candidate will have hands-on experience in LoRaWAN firmware development, MQTT protocol, and AWS IoT Core integration, with a strong background in working with STM32 and ESP32 processors. You will be responsible for developing, testing, and deploying firmware solutions for devices utilizing digital I/O, RS485 communication, pulse counting, and analog sensors (including 4-20mA). Your role will be critical in advancing our IoT solutions, and you should be comfortable working across various hardware interfaces. Key Responsibilities : - Design and develop firmware for LoRaWAN devices using STM32 and ESP32 processors. - Implement and integrate the MQTT protocol for IoT communication. - Experience with up chirpstack server - Work with AWS IoT Core to connect, manage, and secure IoT devices. - Develop drivers for RS485 and digital I/O communication protocols. - Interface with pulse counting devices, analog sensors (4-20mA), and digital inputs/outputs. - Optimize firmware for FreeRTOS environments. - Collaborate with hardware teams to design solutions that integrate with analog and digital sensors. - Optimize power consumption and performance for IoT devices. - Test, debug, and ensure reliability and robustness of firmware across a variety of industrial environments. Required Skills and Qualifications : - Bachelor's degree in Electronics, Computer Science, or a related field. - 2+ years of relevent experience in firmware development, especially in the IoT/IIoT domain. - Expertise in LoRaWAN protocol and network architecture. - Hands-on experience with STM32 and ESP32 processors, and FreeRTOS. - Proficient in programming languages such as C/C++ and embedded systems. - Experience with RS485 communication, pulse counting, and interfacing analog sensors (4-20mA). - Familiarity with digital I/O systems and sensor interfaces. - Strong understanding of power management in IoT devices. - Experience with MQTT protocol and AWS IoT Core. - Knowledge of testing and debugging tools for embedded systems. - Experience in developing solutions for energy or water metering, and process automation is a plus. - Excellent problem-solving skills and ability to work in a fast-paced environment. - NB-IoT Communication Protocol Expertise understanding of NB-IoT : - Strong knowledge of NB-IoT architecture, 3GPP standards, LPWAN (Low Power Wide Area Network) technologies. - NB-IoT Module Experience: Hands-on experience with NB-IoT modules (e.g., Quectel, SIMCom, Sierra Wireless, u-blox). - AT Commands: Experience in using AT commands for configuring and managing NB-IoT modules. - Cellular IoT Communication: Understanding of cellular communication protocols (LTE-M, NB-IoT, GSM). Preferred candidate profile - Experience with industrial IoT/IIOT applications. - Knowledge of cloud services and edge computing. - Work experience of AWS, MQTT, RS485/modbus protocol, ESP32/STM32, LORA, NB-IOT,pulse driver , electrical meter communication driver using RS485 . - Understanding of IIoT security standards and best practices. Perks and benefits -Salary

Job Summary: AI Engineer Product Integration (LLMs & ML Systems) We are seeking a hands-on AI Engineer with proven experience in building, fine-tuning, and deploying Large Language Models (LLMs) and Machine Learning (ML) systems in production. This is not a research role were looking for someone who can turn models into scalable features, deeply integrated within our Optimiser CRM platform. Youll lead initiatives that turn AI into real value: automating workflows, enriching CRM data, and enhancing decision- making across our client base. This role requires strong engineering fundamentals, model fluency, and the ability to build reliable AI solutions in a multi-tenant environment. Key Responsibilities: AI/ML Development Design and fine-tune LLMs and ML models for specific CRM workflows. Build and optimize data pipelines for training, inference, and evaluation. Implement retrieval-augmented generation (RAG) and context injection strategies. Production Integration Package and deploy models into scalable production systems. Develop APIs and microservices for AI-powered features. Monitor model behavior in production; use telemetry to drive continuous improvement. Architecture & Compliance Ensure AI features adhere to multi-tenant data isolation and privacy standards. Collaborate with product and backend teams to align AI systems with Optimisers architecture. Implement access control, audit logging, and performance monitoring for AI services. Qualifications 2+ years of experience shipping ML/LLM features in a production environment. Strong Python development skills and hands-on experience with ML/LLM libraries (e.g., PyTorch, TensorFlow, LangChain, Hugging Face). Practical understanding of vector search, embeddings, and retrieval systems (e.g., Pinecone, FAISS, Weaviate). Experience deploying models as part of SaaS applications, especially in privacy-sensitive environments. Clear understanding of the ML lifecycle: from development to monitoring and iteration. Preferred (Not Mandatory) Exposure to prompt engineering and model evaluation techniques. Experience with fine-tuning LLMs or working with tools like LoRA, PEFT, or RAG pipelines. Familiarity with agent-based orchestration (e.g., LangChain agents, semantic routers). Understanding of MLOps (model versioning, deployment automation, rollback strategies). Location: Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 3500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. Please find below the job description. About the Role We are looking for an experienced and visionary Generative AI Architect with 10-15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring. Required Skills Generative AI, LLM, GenAI

We are looking for a skilled Network Engineer with 5 to 10 years of experience in the field. The ideal candidate will have expertise in LoRa WAN networking and IoT sensors integration, as well as strong knowledge of network design, device integration, and RF design principles. Roles and Responsibility Design and configure LoRa WAN networks, including gateway connectivity options and configuration steps. Integrate various sensors and devices with the LoRa WAN network, including provisioning, configuration, and installation. Troubleshoot sensors using uplinks and downlinks, understanding global country frequency plans and their differences. Configure and install network servers and ensure seamless network operations. Collaborate with cross-functional teams to resolve complex network issues. Develop and implement network optimization strategies to improve performance and efficiency. Job Strong understanding of LoRa WAN protocol and its applications. Experience in network design, device integration, and RF design principles. Ability to work independently and collaboratively as part of a team. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Familiarity with network management tools and software. Educational qualificationsB.Tech/B.E. or M.Tech degree in a relevant field. Additional Info The selected candidate will be required to work on projects related to LoRa WAN networking and IoT sensors integration.