113 Lora Jobs - Page 3

Dear Aspirant! We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you'd make a great addition to our vibrant international team. We are looking for Senior Software Engineer (AI/ML"“ NLP & Generative AI) , You'll make an impact by Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and techniques (NER, embeddings, summarization, etc.). Build and productionize RAG pipelines and agentic workflows to support intelligent, context aware applications. Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for domain-specific use cases. Collaborate with data scientists, backend developers, and cloud architects to build scalable AI first systems. Evaluate and integrate third-party models/APIs and open-source libraries for generative use cases. Continuously monitor and improve model performance, latency, and accuracy in production settings. Implement observability, performance monitoring, and explainability features in deployed models. Ensure solutions meet enterprise-level requirements for reliability, traceability, and maintainability. Use your skills to move the world forward! Master's or Bachelor's degree in Computer Science, Machine Learning, AI, or a related field. 5+ years of overall experience in AI/ML, with at least 2+ years in NLP and 1"“2 years in Generative AI. Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and vector search. Experience in designing and deploying RAG pipelines and working with multi-step agent architectures. Proficiency in Python and frameworks like Lang Chain, Transformers (Hugging Face), Llama Index, Smol Agents, etc. Familiarity with ML observability and explainability tools (e.g., Tru Era, Arize, Why Labs). Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI Service, Azure ML Studio, and Azure AI Foundry. Experience in integrating LLM-based agents in production environments. Understanding of real-time NLP challenges (streaming, latency optimization, multi-turn dialogues). Familiarity with Lang Graph, function calling, and tools for orchestration in agent-based systems. Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines. Domain knowledge in Electrification, Energy, or Industrial AI is a strong plus. Create a better #TomorrowWithUs! This role is based in Bangalore, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We're Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow. Find out more about Siemens careers at www.siemens.com/careers Find out more about the Digital world of Siemens here www.siemens.com/careers/digitalminds

KEY RESPONSIBILITIES: Above average engineering degree in Computer Science, electrical/electronics/communication engineering, or a related field Professional experience in embedded software C/C++ programming Experience in microcontroller-based system development (using products from e.g. Murata, STM32, Renesas, NORDIC processor families) without proprietary OS Experience in one of the wireless protocols LoRaWAN or LPWAN, MQTT, ZigBee, Bluetooth 5.1 supporting BLE protocol, and awareness of IoT infrastructure Good experience in application lifecycle management as codebeamer Experience with low-power design and optimization techniques Experience in low-level microcontroller development, e.g. device drivers, configuring clocking modes, power management and bringing up device Experience with Unit Testing Provide technical leadership and resolve complex technical issues also by guiding and overseeing projects. Development of firmware solutions Architecture definition and design Optimization of software quality, testability and maintainability Collaborate with other software developers and hardware engineers. DESIRED SKILLS: Experience in sensor technology. Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives. Experience with lean/agile software development processes

The role involves assisting in programming, testing, and optimizing firmware for IoT devices utilized in farm automation. You will be responsible for writing and testing code for microcontrollers such as ESP32 and Raspberry Pi, debugging and optimizing firmware for performance and power efficiency, ensuring communication between IoT devices and the server using protocols like MQTT and HTTP, as well as conducting pre-deployment testing to confirm devices function as intended. The ideal candidate should have proficiency in C/C++ or Python, an understanding of communication protocols like UART, SPI, I2C, and MQTT, a keen interest in IoT and embedded systems development, and preferably possess 3D printing skills for basic designs. Additionally, familiarity with wireless communication technologies such as Wi-Fi, LoRa, or Bluetooth is desired. As a Developer with knowledge in embedded systems, the contract duration for this position is 3 months with no financial stipend during the unpaid period. However, a certificate of completion will be provided upon successful fulfillment of the contract. Depending on performance, there is a potential opportunity for advancement to a permanent position.,

As an experienced Python programmer, you will be responsible for developing GenAI applications and automation tools using your deep expertise in Python. Your role will involve the productionization of GenAI applications beyond Proof of Concepts (PoCs) by utilizing scale frameworks and tools such as Pylint and Pyrit. In addition to Python programming, you should be proficient in working with LLM Frameworks, including Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Your expertise in these frameworks will be essential for enhancing GenAI applications. Moreover, you will leverage your extensive experience with cloud platforms such as Azure, GCP, and AWS to deploy and manage GenAI applications effectively. Your knowledge of at least two of these cloud platforms will be crucial for the success of the projects. You should also possess mastery of fine-tuning techniques like PEFT, QLoRA, LoRA, and other methods to optimize the performance of GenAI applications. Your understanding of these techniques will contribute to the overall efficiency of the applications. Furthermore, your strong knowledge of LLMOps practices for model deployment, monitoring, and management will ensure the seamless operation of GenAI applications. Your expertise in LLMOps will be vital for the successful deployment and maintenance of models. As part of your role, you will be required to implement responsible AI practices and ensure compliance with regulations to uphold ethical standards. Your proficiency in Responsible AI will be essential for developing applications that align with ethical guidelines. Additionally, you should have experience in API integration using protocols such as REST, SOAP, and others. Your familiarity with API integration will enable seamless communication between different systems and enhance the functionality of GenAI applications.,

Role: Senior AI/ML Engineer Function: Machine Learning / AI Engineering Industry: Fintech, SaaS, Artificial Intelligence About Company The client is an early-stage, venture-backed fintech using AI to simplify cash-flow analytics for high-volume B2C businesses. Its platform pairs natural-language queries with machine learning to deliver real-time insights and friction-free reconciliation. You join a small, fast-moving team that prizes ownership, experimentation, and transparent collaboration. The mission is clear: give operators instant, accurate financial visibility so they can scale with confidence. Position Overview You lead the end-to-end AI charter that powers financial automation, intelligent reconciliation, and anomaly detection. You shape the GenAI roadmap, productionize cutting-edge ML systems, and build a world-class teamall while delivering reliable, compliant, and low-latency solutions for transactional finance. Role & Responsibilities Define the AI and GenAI vision for reconciliation, document understanding, financial classification, and payment behavior intelligence. Translate product problems into scalable ML systems and GenAI workflows. Research, experiment, and productionize LLM-based pipelines tailored to enterprise financial operations. Deploy and maintain ML and LLM pipelines in production, including observability, retries, retraining, and versioning. Implement feedback loops that continuously learn from user actions and corrections. Optimize performance and latency of GenAI systems in high-throughput transactional environments. Ensure data privacy, regulatory compliance, and explainability of AI outputs in financial contexts. Lead, hire, mentor, and grow a team of ML and GenAI engineers. Collaborate with product managers, backend engineers, and data engineers to ship AI-powered features. Evangelize responsible AI practices and an experimentation culture across the organization. Must have Criteria 5+ years in AI/ML with at least 12 years hands-on with LLMs and GenAI. Deep knowledge of ML algorithms, NLP, transformers, vector search, embeddings, classification, and unsupervised learning. Proven track record building and deploying GenAI applications using OpenAI APIs, HuggingFace, LangChain, or LlamaIndex. Strong coding skills in Python and experience with PyTorch or TensorFlow, scikit-learn, pandas, and MLOps tools such as MLflow or Airflow. Hands-on experience fine-tuning LLMs (LoRA, QLoRA, PEFT) and crafting prompts for deterministic outputs. Expertise with OCR/NLP tools for semi-structured document extraction and parsing. Ability to work with unstructured, noisy financial data at scale. End-to-end ownership of ML systems from research through deployment and monitoring. Nice to Have Familiarity with open-source LLMs like Mistral, Claude, LLaMA, or Zephyr. Experience with chunking strategies, prompt templates, and hybrid search in RAG systems. Background in enterprise SaaS or fintech domains such as banking, reconciliation, ERP, or accounting. Knowledge of graph-based ML or probabilistic models for complex transaction flows. Past experience building AI systems in an early-stage startup or as a founding team member. Fintech domain expertise. What We Offer Foundational role where you define how AI evolves at the company. High impact on real-world financial decisions requiring accuracy and auditability. Ownership of deep ML and cutting-edge GenAI problems. Product-first, collaborative culture that values high agency and technical depth. Show more Show less

You should possess excellent expertise in various wireless communication protocols such as Wi-Fi, BT, BLE, Zigbee, 2G/3G/4G LTE, NBIoT, LoRa. It is essential to have design expertise in utilizing Radio chipsets from various manufacturers like Qualcomm, Atheros, NXP, Texas Instruments, MediaTek, etc. Experience in Antenna design would be beneficial for this role. You should be proficient in RF path tuning and calibration procedures for Radio implementation, as well as calibration of devices for mass production. It is crucial to have experience in wireless design regulatory qualification testing, including FCC, CE RED, ISED, etc. You must be an expert in using different measurement tools such as VNA, Spectrum analyzer, Protocol Analyzer, simulators, Signal generators, etc.,

You are a Senior Machine Learning Engineer with 2-5 years of experience, located in Hyderabad. As a Senior Machine Learning Engineer, your primary responsibilities will include leading the training, fine-tuning, and validation of Language Models (LLMs) customized for web applications. You will be tasked with deploying and optimizing these models to web-based inference endpoints to ensure fast responses and high uptime. Monitoring the real-time performance of models on the web and making necessary adjustments to maintain desired accuracy will be a crucial part of your role. Staying updated on advancements in LLMs, specifically focusing on techniques like prompt engineering, PEFT, LORA, and SFT tailored for web contexts is essential. You will utilize the LangChain framework to develop applications powered by language models, ensuring seamless integration with data sources and enabling the model to interact effectively with its environment. Managing LangChain's modular abstractions and implementing use-case specific chains for optimal language model application will also be part of your responsibilities. Upholding strict data privacy and security standards during web-based model deployments is paramount. Collaboration with the Full Stack Development team to ensure smooth integration of models into web platforms will also be a key aspect of your role. To qualify for this position, you should have solid experience as a Machine Learning Engineer, with expertise in Gen AI & LLMs suitable for web environments. Proficiency in machine learning frameworks like TensorFlow and PyTorch is required. A proven track record of training, fine-tuning, and deploying LLMs optimized for web platforms is essential. Deep comprehension of advanced techniques like prompt engineering, PEFT, LORA, and SFT in web contexts is necessary. Hands-on expertise with the LangChain framework, including its modular abstractions and use-case specific chains for language model application, is expected. Familiarity with tools and practices for monitoring model performance and metrics on the web is a plus. An innovative problem-solving mindset, combined with a flair for optimization, will be beneficial. Outstanding communication skills and a teamwork-oriented attitude are highly valued in this role.,

Blackfrog Technologies, a Manipal-based technology startup specializing in manufacturing medical devices, holds ISO 13485 and ISO 9001 certifications. The company has pioneered patented systems aimed at enhancing immunization supply chains, facilitating the delivery of vaccines to even the most remote areas of India and beyond. An opportunity awaits you to become a vital part of this thrilling and rewarding journey! As a Lead Embedded Engineer at Blackfrog Technologies, based in Manipal, Karnataka, you will play a pivotal role in our team. We are in search of an individual with exceptional skills and experience in Electronics and Embedded Systems. The ideal candidate should possess a solid foundation in wireless technologies, IoT, and embedded systems development, with a minimum of 4 to 5 years of relevant industry experience. Your responsibilities will involve spearheading the design, development, and implementation of cutting-edge electronic and IoT solutions, ensuring top-notch performance, scalability, and reliability. Key Qualifications and Responsibilities: - A Bachelor's/Master's degree in Electronics Engineering/Electrical and Electronics/Electronics and Communication or a related field. - Minimum 4 to 5 years of hands-on experience in embedded systems development and wireless technologies. - Lead the end-to-end development of embedded systems, electronics, and IoT products. - Collaborate with diverse teams, including hardware, firmware, and software engineers. - Implement IoT systems encompassing sensors, connectivity, cloud integration, and edge computing. - Develop secure communication protocols and ensure device security. - Supervise PCB design and hardware prototyping. - Mentor and provide guidance to junior engineers. - Conduct code reviews and uphold best development practices. - Ensure products adhere to industry standards and certifications like IEC or equivalent. Qualifications and Skills Required: - Proficiency in programming languages including C, C++, and Assembly for embedded development. - Experience with Real-Time Operating Systems (RTOS) such as FreeRTOS, Zephyr, or ThreadX. - Hands-on familiarity with microcontrollers/microprocessors like ARM Cortex, PIC, STM32, ESP32, etc. - Knowledge of low-level hardware-software integration and debugging tools (e.g., JTAG, Oscilloscopes, Logic Analyzers). - Expertise in wireless communication protocols: BLE, Wi-Fi, Zigbee, Z-Wave, LoRa, NB-IoT, LTE-M, Cellular IoT, 5G, RFID, NFC, GPS/GNSS. - Experience with IoT protocols like MQTT, CoAP, HTTP, WebSockets, or AMQP. - Familiarity with IoT platform integration (AWS IoT, Azure IoT Hub, Google IoT Core, etc.). - Understanding of data logging, edge computing, and analytics solutions. - Proficiency in object-oriented programming principles and design patterns. - Experience in device driver development for sensors, actuators, or peripherals. - Familiarity with version control tools like Git. - Proficient in embedded debugging tools and techniques. - Experience in hardware and firmware testing using simulators, emulators, and test benches. - Familiarity with compliance standards such as FCC, CE, and ISO for electronics. - Understanding of security standards like ISO 27001 or NIST Cybersecurity Framework. Join us on this exciting journey to lead the development of cutting-edge IoT and embedded solutions that will shape the future of connected technology at Blackfrog Technologies!,

Job Description: We are looking for a Lead Generative AI Engineer with 35 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 35 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills. Show more Show less

Job Description: We are looking for a Lead Generative AI Engineer with 35 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 35 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills. Show more Show less

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.,