113 Lora Jobs

Role Overview: As an AI Fine Tuning Expert at our company located in Siruseri, Chennai, your primary responsibility will be to fine-tune LLaMA models on domain-specific data such as finance, healthcare, telecom, legal, etc. You will also be involved in curating, cleaning, and pre-processing datasets for supervised and unsupervised fine-tuning. Additionally, you will implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as required and optimize model training performance using tools/libraries. Evaluating fine-tuned models using appropriate metrics, deploying and integrating models with APIs, RAG pipelines, or inference servers, and conducting safety audits and hallucination checks post-fine-tuning will also be part of your responsibilities. Furthermore, you should be familiar with open-source LLMs beyond LLaMA (Mistral, Falcon, Mixtral, etc.), hands-on with orchestration tools like LangChain, LangGraph, CrewAI, or Flowise, and have knowledge of tokenizers, embeddings, and prompt templates. Proficiency in Python, PyTorch, and model training workflows is essential for this role. Key Responsibilities: - Fine-tune LLaMA models on domain-specific data - Curate, clean, and pre-process datasets for supervised and unsupervised fine-tuning - Implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as per need - Optimize model training performance using tools/libraries - Evaluate fine-tuned models using appropriate metrics - Deploy and integrate models with APIs, RAG pipelines, or inference servers - Use tools like Weights & Biases, LangSmith, or TensorBoard for training monitoring and logging - Conduct safety audits and hallucination checks post-fine-tuning - Familiarity with open-source LLMs beyond LLaMA (Mistral, Falcon, Mixtral, etc.) - Hands-on with orchestration tools like LangChain, LangGraph, CrewAI, or Flowise - Knowledge of tokenizers, embeddings, and prompt templates - Experience with LLaMA (preferably LLaMA 2 / LLaMA 3) and Hugging Face ecosystem - Proficiency in Python, PyTorch, and model training workflows Qualifications Required: - Deep expertise in Fine tuning in LLama, LoRA, QLoRA - Strong command of Python & ML Libraries Please note that the company offers the following benefits: - Work with Top tier AI minds - Access to high-performance infra for model training - Opportunity to drive innovation with real-world applications - Be part of a growing AI team building next-gen tools - Continuous learning and innovation - Competitive salary with growth opportunities,

SatCom System Engineer Experience Range: 12 - 18 years Location: PAN India Preferred Candidate Profile Primary Skills: SatCom Operations, Non-Terrestrial Networks, 3GPP standards, NB-IoT, Sat-IoT, Lora, LoraWan integration with satellites; Satcom; Satellite Communications; Satellite Engineer; Satcom Design and Architect Secondary Skills: Fixed Mobile RAN and 5G Role & Responsibilities Carry out modelling and establish and validate requirements for satellites networks based on end user needs End-to-end communications design and development incorporating RF systems, IP networks, OSS/BSS technology and development Requirements analysis and assessment of supplier solutions to meet communications systems requirements LEO, MEO, GEO interoperability solutions NR NTN 3GPP convergence release specifications DTD solutions with Starlink and AST Integration with terrestrial and NB IOT networks Ubiquitous connectivity solutions Communications system test strategy development and VV&T plan documentation and test execution in either ground or in-orbit test environments Ground segment engineering/terminal design and development Communications payload engineering design and test Preparation of concept of operations and service delivery documentation. Other Responsibilities Drive presales globally for all CMI accounts Liaisons and partnerships with relevant ecosystem players. Skills, Character and Experience Extensive knowledge on SatCom based solutions and various types of Satellites Hands on work on communication satellites Experience of working as an integral part of a highly focused team Good customer-facing and communication skills with ability to produce and present clear, concise and unambiguous presentations to customers and other clients Strong analytical skills, the ability to identify key issues and to solve day-to-day challenges and issues Proven ability to develop innovative solutions to defined problems Essential Minimum of 5-10 years relevant experience Graduate with a good Honours or Masters degree in a relevant subject (e.g. Space System Engineering, Electronics, Communications); equivalent qualifications and/or experience can be considered as an alternative. Experience in satcoms systems engineering with a knowledge of system design, ground segment design, satellite operations and payload engineering. Experience in IP networking, protocols and security of data. Thorough understanding of communications systems and associated engineering concepts. Strong practical knowledge of systems engineering practices from requirements engineering through design/development and on to VV&T. Experience in developing requirements systems design documentation, test plans and procedures and operational procedures. Knowledge of software development environments, languages and methodologies. Proven track record of identifying and solving problems. Desirable Chartered Engineer or equivalent. Practical experience in the commissioning and testing of satellite systems (satellite and ground based). Familiarity with OSS/BSS technology and the use in management and reporting of communications networks. Experience in assessment/development of security architectures in a communications systems and/or military communications networks. Experience of software development environments, languages (Python, Java) and methodologies (Agile, DevOps). Knowledge of optical, 5G and/or Quantum technologies.

Job Title: Senior AI/ML Engineer (Python) Location: Gurgaon, India Employment Type: Full-time Experience Required: 8+ years About the Role: We are seeking a Senior AI/ML Engineer with deep expertise in building, deploying, and fine-tuning advanced machine learning and deep learning models. This role emphasizes LLMs, Hugging Face ecosystem, and fine-tuning techniques like LoRA (Low-Rank Adaptation) for scalable AI-driven applications. The ideal candidate will be a hands-on expert in AI/ML frameworks, end-to-end pipeline development, and modern MLOps practices, while also mentoring teams and contributing to the companys AI strategy. Key Responsibilities: Architect, design, and deploy advanced AI/ML and deep learning models for NLP, computer vision, and multi-modal use cases. Build end-to-end ML pipelines covering data engineering, preprocessing, model training, evaluation, and deployment. Implement fine-tuning techniques (LoRA, parameter-efficient tuning, transfer learning, etc.) for LLMs and domain-specific tasks. Leverage the Hugging Face ecosystem for model development, training, and deployment. Work extensively with Python and ML/DL frameworks (PyTorch, TensorFlow, scikit-learn). Drive adoption of MLOps best practices (CI/CD for ML, MLflow, Kubeflow, Airflow). Collaborate with cross-functional teams to integrate AI models into production-grade applications. Mentor junior engineers and establish best practices for scalable ML engineering . Research and apply state-of-the-art advancements in LLMs, transformers, generative AI, and fine-tuning . Required Skills & Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field . 8+ years of hands-on experience in AI/ML development and deployment . Expert in Python programming and ML/DL frameworks (PyTorch, TensorFlow). Strong understanding of machine learning algorithms, deep learning architectures, transformers, and NLP techniques . Proven experience with Hugging Face Transformers, LoRA, and fine-tuning large language models (LLMs) . Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Solid knowledge of data preprocessing, feature engineering, and production model deployment . Preferred Skills: Expertise in parameter-efficient fine-tuning (PEFT) and generative AI workflows. Exposure to big data ecosystems (Spark, Hadoop) for large-scale ML applications. Experience in multi-modal AI systems (text, image, and audio). Strong foundation in statistics, optimization, and applied mathematics . Experience leading teams and defining AI strategy & best practices .

As an Embedded Software Engineer at Aebocode Technologies, you will play a crucial role in designing, developing, and maintaining software for embedded systems. Your primary focus will be on collaborating with hardware engineers to create efficient and reliable firmware solutions for microcontrollers, real-time systems, and IoT devices. Key Responsibilities: - Design, develop, test, and debug embedded software for microcontrollers and SoCs such as ARM and AVR. - Develop drivers, middleware, and firmware for sensors, peripherals, and communication protocols like SPI, I2C, UART, and CAN. - Optimize real-time performance and memory usage in resource-constrained environments. - Collaborate with hardware engineers to bring up new boards and debug hardware/software interfaces. - Write and maintain low-level code in C/C++ for RTOS and bare-metal environments. - Implement unit and integration testing for embedded systems. - Participate in code reviews, documentation, and system-level design discussions. - Support product validation, system integration, and troubleshooting in lab and field environments. Required Skills & Qualifications: - Proficiency in C/C++ for embedded systems development. - Strong understanding of microcontroller architectures such as ARM Cortex-M and AVR. - Hands-on experience with RTOS (FreeRTOS, Zephyr, etc.) or bare-metal programming. - Familiarity with hardware interfaces like SPI, I2C, UART, GPIO, ADC, and PWM. - Knowledge of debugging tools such as JTAG, oscilloscopes, and logic analyzers. - Experience with version control systems like Git. - Good understanding of real-time systems, memory management, and interrupt handling. Preferred Skills: - Experience with IoT protocols like MQTT, BLE, Zigbee, and LoRa. - Knowledge of Linux device drivers or embedded Linux (Yocto, Buildroot). - Familiarity with Python or Bash scripting for automation and testing. - Exposure to CI/CD pipelines in embedded environments. - Understanding of Agile methodologies and DevOps tools. Education: - Bachelors or Masters degree in Electronics, Electrical, Computer Engineering, or a related field. Soft Skills: - Strong problem-solving and analytical skills. - Excellent communication and teamwork abilities. - Passion for working closely with hardware and optimizing performance. If you are interested in this role, the position is based in Panchkula, Haryana, and requires you to be able to commute or relocate before starting. The work schedule is a fixed morning shift. Benefits include paid sick time. Good Luck! Team Aebocode,

JD Description: AI/ML Developer (3-5 Years Experience) Agentic AI Assets Role Overview : We are seeking a highly skilled developer with 3-5 years of deep, hands-on experience in Artificial Intelligence and Machine Learning to design and build advanced assets for our Agentic AI solutions. The ideal candidate will demonstrate exceptional knowledge in AI/ML algorithms and frameworks, a serious track record in deploying models at scale, and strong expertise working with Large Language Models (LLMs). Key Responsibilities Design, implement, and optimize complex AI/ML assets and models for agentic AI solutions. Lead research and prototyping efforts in ML and AI algorithm development, with a focus on advancing the core intelligence of agentic AI systems. Develop, fine-tune, and experiment with Gen AI LLMs, working with state-of-the-art architectures and leveraging the latest research in natural language processing and generative AI. Apply advanced techniques such as transfer learning, reinforcement learning, and retrieval-augmented generation (RAG). Collaborate closely with product, engineering, and research teams to benchmark performance, drive technical innovation, and set the direction for AI/ML initiatives. Understand requirements on domain specific use cases and implement AI/ML solutions Required Skills & Qualifications 3-5 years strong professional experience as an AI/ML engineer, data scientist, or research scientist. Strong knowledge on Agent to Agent communication and development of Agentic AI frameworks Experience with vector search/vector databases, knowledge graphs, and data pipelines for RAG-based systems. Expert-level Python programming skills and fluency in libraries and toolkits such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, Hugging Face, etc. In-depth knowledge of classical and advanced machine learning algorithms, deep learning, neural network architectures, and their real-world applications. Demonstrable experience building and fine-tuning LLMs (such as GPT, Llama, Mistral, etc.) and integrating them into robust solutions. Strong background in state-of-the-art ML methodologies: prompt engineering, embeddings, transformers, self-supervised and unsupervised learning, RLHF, etc. Experience with production-level deployment of AI/ML models, cloud-based ML infrastructure (AWS/GCP/Azure/IBM Cloud), containerization (Docker), and scalable MLOps practices. Developing Solutions Aligned with AI Governance and Ethical AI Standards Good to Have Familiarity with agentic AI frameworks or multi-agent systems. Publications, patents, or open-source contributions in AI/ML. Strong analytical and communication skills. UIUX Knowledge and framework RDBMS and NoSQL database knowledge Knowledge on AIML model finetune Knowledge on MCP

Lead Data Scientist - Generative AI & LLMs Location: Hyderabad Notice Period: Immediate to 30days About the Role As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration. Key Responsibilities Lead design and implementation of LLM-powered GenAI platforms and document intelligence products. Architect and own data pipelines for fine-tuning large language models using large- scale datasets. Guide and mentor data science teams on LLM training best practices, evaluation, and deployment. Optimize model inference (latency, throughput) using vLLM, quantization, or model distillation techniques. Own the model lifecycle from experimentation to production-grade deployment. Partner with engineering/product teams to translate business needs into scalable AI solutions. Required Skills 7+ years in data science, with 3+ years focused on NLP and LLMs. Proven expertise in fine-tuning large-scale models on enterprise or open datasets. Hands-on with vLLM, PEFT (Parameter Efficient Fine Tuning), LoRA, and quantization strategies. Experience optimizing inference pipelines for production environments. Strong coding background in Python, PyTorch, and scalable ML architectures. Deep understanding of model alignment, evaluation strategies, and generative QA tasks. Leadership Skills Ability to lead cross-functional teams across data science, MLOps, and software engineering. Experience mentoring junior team members and reviewing model design/code. Strong communication skills to influence technical and non-technical stakeholders.

Role: Gen AI Engineer (back-end software development role with a specialization in ML/DL and Generative AI) Company - Supply Chain Management Consulting firm Experience: Candidates must have 5+ years in ML/DL, with a minimum of 2 years specifically in Generative AI solution development. Location: Bangalore (Innovator - ITPL, The HIVE - Mahadevapura, Helios - Kadubeesanahalli) Work Mode: Hybrid - 5 days a week Budget: A maximum of a 30% hike on the candidate's current fixed CTC. Counteroffers will not be provided. Looking for immediate joiners. We are hiring for Gen AI Engineer/Hybrid/Bangalore. We need Python, PyTorch, TensorFlow, LLM, Docker (Mandatory) & IMMEDIATE joiners Gen AI Engineer - Python , PyTorch, TensorFlow, LLM, Docker, Kubernetes, CI/CD pipelines Requirements Education: Bachelors/masters in computer science, Data Science, AI/ML, or a related field. Experience: 5+ years in ML/DL, with minimum 2 years in Generative AI solution development. Expertise with Python and ML/DL libraries (PyTorch, TensorFlow, JAX). Strong knowledge of LLM training/fine-tuning techniques: LoRA, QLoRA, PEFT, instruction tuning. Proficiency in prompt engineering and evaluation of model outputs. Hands-on with vector databases and indexing pipelines for semantic search. Familiar with containerization and deployment tools (Docker, Kubernetes, Helm). Exposure to CI/CD pipelines for AI solutions and cloud-native patterns

As the Chief Technology Officer (CTO) at EaseMyTrip.com, your role involves defining and leading the overall technology vision and execution for one of India's largest online travel platforms. You will be responsible for overseeing engineering aspects ranging from backend system design and frontend development to Generative AI integration and large-scale cloud infrastructure. Your primary goal will be to ensure that EaseMyTrip continues to deliver secure, scalable, and high-performance solutions while pioneering next-generation AI-driven travel experiences. This leadership position requires a balance of hands-on technical expertise, architectural thinking, and strategic direction to shape technology that directly impacts millions of travelers globally. **Key Responsibilities:** - Define and execute the technology roadmap, aligning innovation with business objectives, and mentor high-performing teams across backend, frontend, AI, and DevOps. - Deploy and optimize Large Language Models (LLMs) such as GPT-4, Claude, and Mistral to build intelligent conversational travel agents, implementing prompt engineering and Retrieval-Augmented Generation (RAG) workflows. - Ensure seamless and responsive user experiences through Angular, TypeScript, JavaScript, HTML5, and CSS3, with a strong focus on UI/UX integration and performance optimization. - Manage relational and NoSQL databases such as SQL Server, PostgreSQL, and MongoDB, focusing on schema design, optimization, and ORM integration (SQLAlchemy). - Oversee deployments on AWS, GCP, or Azure with serverless technologies (Lambda, Cloud Functions) and containerized services (Docker, Kubernetes). Implement CI/CD pipelines for smooth release cycles. - Establish secure development practices, data protection mechanisms, and compliance with industry standards. - Partner with product managers, designers, and AI researchers to deliver impactful features rapidly and iteratively. - Drive system reliability, monitoring, debugging, and production support to ensure high availability and uptime. **Qualification Required:** - Experience: 10+ years in software engineering, with at least 5 years in senior technology leadership roles. - Technical Skills: Strong command of ASP.Net, C++, C#, Python, Angular, JavaScript frameworks, FastAPI/Django, and asynchronous programming. - AI/ML Expertise: Hands-on experience with LangChain, LlamaIndex, Hugging Face Transformers, and OpenAI/Anthropic APIs. Skilled in fine-tuning models (LoRA, PEFT) and applying evaluation metrics (BLEU, ROUGE). - Backend & System Design: Proven ability to architect large-scale, secure systems and RESTful APIs with a focus on modularity and maintainability. - Frontend Development: Proficient in Angular, TypeScript, and responsive design with a strong focus on user experience and SEO best practices. - Database Knowledge: Expertise in SQL Server, PostgreSQL, MongoDB, and schema performance optimization. - Cloud & DevOps: Experienced with AWS/GCP/Azure, CI/CD pipelines, Docker, Kubernetes, and serverless deployments. - Security Knowledge: Strong grasp of encryption, application security, and secure SDLC principles. - Leadership & Collaboration: Effective communicator with a track record of mentoring and leading diverse technology teams in fast-paced environments. - Innovation Mindset: Passionate about emerging technologies, problem-solving, and building AI-first travel experiences.,

As an IOT Developer at BOTBERRY SOLUTIONS, you will be responsible for the following: - Embedded software development/maintenance in Esp32, NodeMCU, Ardunio and Raspberry pi etc. - Working on latest communication technologies such as LORA, BLE, Zigbee etc. - Integration with MQTT & IOT Cloud platforms - Circuit schematic drawing and basic PCB designing - Understanding the components from datasheets and selection of best components for the PCB designing Qualifications required for the role include: - B.E / B.Tech in CSE / ECE / EEE - 1+ yrs of experience in Embedded systems software development - Strong programming skills in MicroPython, C/C++ in Linux - Basic knowledge in Networking and communications - Desirable to have knowledge and exposure in Mobile App development - Basic knowledge of hardware design & troubleshooting - Hands on experience with interfacing various on-chip and off-chip peripherals like LCD displays, keypads, UART, SPI, I2C, ADC, timers, interrupts, GPIO etc. - Experience in Firmware testing, debugging, documentation & troubleshooting of the C code on the target hardware - Motivated and desire to learn new technologies - Good problem-solving skills - Must be able to work independently or in a group & take up big responsibilities If you believe you possess the above-mentioned attributes and are eager to contribute in our dynamic work environment, please send your resumes to careers@botberrysolutions.com.,

As an Electronics Production Manager - IoT at Living Things, you will play a crucial role in managing full-scale production through OEMs/ODMs, optimizing mass production lines for IoT hardware, and ensuring timely, flexible, and cost-effective deliveries. Your deep expertise in electronics manufacturing and IoT production management will be utilized to oversee production planning, implement QA/QC protocols, and collaborate with engineering teams. If you are passionate about making a difference in the energy and sustainability sector, this opportunity is for you. **Key Responsibilities:** - Manage full-scale production through OEMs/ODMs, including factory onboarding, production planning, and delivery coordination. - Design and optimize mass production lines for IoT hardware, with scalability to 10+ lakh units. - Oversee Production Planning and Control (PPC) to ensure timely, flexible, and cost-effective deliveries. - Define and implement QA/QC protocols, incoming inspection, line testing, and outbound quality checks. - Coordinate with Chinese OEMs/vendors on procurement, tooling, test jigs, and batch production. - Travel as required to China and key Indian cities for factory audits, pilot runs, and production supervision. - Maintain production dashboards and ensure traceability, documentation, and compliance. **Must-Have Qualifications:** - 8+ years of experience in electronics manufacturing or IoT production management. - Proven track record of scaling production lines to 10L+ units. - Strong experience in managing OEM/ODM relationships, especially with Chinese manufacturing partners. - Deep knowledge of PPC processes, production flexibility, and just-in-time (JIT) strategies. - Expertise in QA/QC systems design, batch testing, and electronics quality standards. - Strong problem-solving skills and a hands-on approach to production line challenges. - Willingness to travel frequently for production supervision. **Preferred:** - Prior experience in IoT products using ESP32, EC200U, LoRa, or similar modules. - Knowledge of ERP/MRP tools and manufacturing dashboards. - Mandarin/Chinese language skills (bonus). - Familiarity with certifications (e.g., CE, BIS, RoHS) and compliance testing. Living Things is on a mission to build a sustainable future through intelligent energy management, and as a part of their team, you will have the opportunity to lead production at a fast-scaling IoT company impacting energy and sustainability. If you are ready for a new challenge and a great work environment, apply today to take your career to the next level.,

Job Description: You will collaborate directly with the founding team on core AI model development and strategy. You will fine-tune and customize LLMs for specific use cases and performance requirements. Additionally, you will evaluate and benchmark different language models to determine optimal solutions. It will be your responsibility to optimize model performance using LoRA, QLoRA, and other parameter-efficient methods. You will also implement and experiment with RLHF workflows, design and execute training pipelines for custom model development, and research and implement cutting-edge techniques in model optimization and efficiency. Your creativity will be showcased as you create new AI solutions that solve real-world problems at scale and lead technical initiatives while mentoring junior team members as the team grows. Qualifications Required: - Solid experience in AI model development and strategy - Proficiency in fine-tuning and customizing language models for specific use cases - Strong knowledge of evaluating and benchmarking different language models - Familiarity with optimizing model performance using various methods - Experience in implementing RLHF workflows and designing training pipelines - Ability to research and implement cutting-edge techniques in model optimization - Creative problem-solving skills to create new AI solutions at scale - Leadership skills to lead technical initiatives and mentor junior team members About the Company: Icecreamlabs is an AI venture studio that focuses on building AI-first startups to solve complex enterprise problems. As a member of the founding team, you will have the opportunity to work directly with founders on core product decisions and technical strategy, shape the AI architecture from inception to production scale, lead research initiatives, and influence the direction of AI capabilities. You will have access to cutting-edge research and state-of-the-art hardware and computational resources while collaborating with industry experts. Joining this company will provide you with significant equity and growth potential, leadership opportunities as the team expands, and industry recognition through publications and open-source contributions. The office is located in the CBD Bangalore, facilitating maximum collaboration.,

Senior Hardware Tester IoT Experience: 6 - 8 Year Exp Salary : Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python or automation frameworks , failure reporting , E-metering OR LoRA OR EC200U OR Bluetooth Living Things (One of Uplers' Clients) is Looking for: Senior Hardware Tester – IoT who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Title: Senior Hardware Tester – IoT Experience Required: 6+ Years Location: Bangalore Industry: Internet of Things (IoT), Electronics, Energy Tech About Us Living Things is a pioneering IoT platform focused on enabling energy-conscious businesses. Our devices help optimize air conditioning efficiency, reduce carbon footprint, and support the global net-zero journey. Our scalable, production-grade IoT solutions are deployed across industries and have saved megawatts of energy. Role Overview We’re looking for a senior hardware tester with deep experience in validating and stress-testing embedded IoT hardware at scale. The ideal candidate has hands-on experience with ESP32, EC200U, LoRa, Bluetooth, E-metering, and battery management systems, and has overseen testing cycles for products scaled beyond 100,000+ units. Key Responsibilities Design and execute test plans for hardware systems based on ESP32, EC200U, LoRa, and Bluetooth. Validate performance, stability, power consumption, and durability of battery-powered and E-metering hardware systems. Simulate edge cases, environmental stress, and long-duration tests to ensure real-world reliability. Develop automated testing setups, test jigs, and custom tools to support high-volume production testing. Collaborate with hardware, firmware, and production teams to diagnose and debug failures. Perform pre-certification testing and ensure compliance with industry standards. Provide feedback on hardware design from a testability and reliability standpoint. Monitor performance of devices from field data and suggest continuous improvements. Must-Have Qualifications 6+ years of experience in hardware testing for IoT products. Strong knowledge of embedded systems, particularly with ESP32, EC200U, LoRa, and Bluetooth modules. Experience in testing E-metering circuits, battery-operated systems, and low-power devices. Demonstrated involvement in mass production of hardware (100,000+ units). Proficiency in using lab equipment: oscilloscopes, logic analyzers, signal generators, battery simulators, etc. Hands-on debugging and root cause analysis experience. Good to Have Experience with production testing setups, ATE, and test jigs. Familiarity with QA documentation, failure reporting, and traceability systems. Knowledge of compliance testing (e.g., CE, RoHS, EMI/EMC). Exposure to Python or automation frameworks for hardware testing. Why Join Us? Be part of a mission-driven company impacting real-world energy efficiency. Work on products that scale and are deployed across thousands of sites. Influence hardware quality at a systemic, high-impact level. Collaborate with top engineering and production teams in the IoT domain. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Senior Hardware Tester IoT Experience: 6 - 8 Year Exp Salary : Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python or automation frameworks , failure reporting , E-metering OR LoRA OR EC200U OR Bluetooth Living Things (One of Uplers' Clients) is Looking for: Senior Hardware Tester – IoT who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Title: Senior Hardware Tester – IoT Experience Required: 6+ Years Location: Bangalore Industry: Internet of Things (IoT), Electronics, Energy Tech About Us Living Things is a pioneering IoT platform focused on enabling energy-conscious businesses. Our devices help optimize air conditioning efficiency, reduce carbon footprint, and support the global net-zero journey. Our scalable, production-grade IoT solutions are deployed across industries and have saved megawatts of energy. Role Overview We’re looking for a senior hardware tester with deep experience in validating and stress-testing embedded IoT hardware at scale. The ideal candidate has hands-on experience with ESP32, EC200U, LoRa, Bluetooth, E-metering, and battery management systems, and has overseen testing cycles for products scaled beyond 100,000+ units. Key Responsibilities Design and execute test plans for hardware systems based on ESP32, EC200U, LoRa, and Bluetooth. Validate performance, stability, power consumption, and durability of battery-powered and E-metering hardware systems. Simulate edge cases, environmental stress, and long-duration tests to ensure real-world reliability. Develop automated testing setups, test jigs, and custom tools to support high-volume production testing. Collaborate with hardware, firmware, and production teams to diagnose and debug failures. Perform pre-certification testing and ensure compliance with industry standards. Provide feedback on hardware design from a testability and reliability standpoint. Monitor performance of devices from field data and suggest continuous improvements. Must-Have Qualifications 6+ years of experience in hardware testing for IoT products. Strong knowledge of embedded systems, particularly with ESP32, EC200U, LoRa, and Bluetooth modules. Experience in testing E-metering circuits, battery-operated systems, and low-power devices. Demonstrated involvement in mass production of hardware (100,000+ units). Proficiency in using lab equipment: oscilloscopes, logic analyzers, signal generators, battery simulators, etc. Hands-on debugging and root cause analysis experience. Good to Have Experience with production testing setups, ATE, and test jigs. Familiarity with QA documentation, failure reporting, and traceability systems. Knowledge of compliance testing (e.g., CE, RoHS, EMI/EMC). Exposure to Python or automation frameworks for hardware testing. Why Join Us? Be part of a mission-driven company impacting real-world energy efficiency. Work on products that scale and are deployed across thousands of sites. Influence hardware quality at a systemic, high-impact level. Collaborate with top engineering and production teams in the IoT domain. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Embedded Hardware Engineer Experience: 6 - 8 Years Exp Salary : Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : ESP32 OR EC200U OR LoRA OR firmware/driver integration OR IoT Living Things (One of Uplers' Clients) is Looking for: Embedded Hardware Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Title: Senior Embedded Hardware Engineer (IoT) Experience Required: 6+ Years Location: Bangalore. Industry: Internet of Things (IoT), Electronics, Energy Tech About Us Living Things is at the forefront of driving the net-zero journey through cutting-edge IoT solutions. We help businesses optimize energy consumption, reduce carbon footprints, and embrace sustainabilitystarting with smarter air conditioning. Our scalable IoT platform has already impacted thousands of installations, and were just getting started. Role Overview We’re looking for a Senior Embedded Hardware Engineer with deep expertise in IoT hardware design and high-scale production, who has personally taken a product from concept to 100,000+ units in production. You'll lead the design, development, and optimization of embedded hardware systems for our IoT solutions. Key Responsibilities Architect and design embedded hardware systems using ESP32, EC200U, LoRa, Bluetooth, and battery-powered architectures. Lead schematic design, component selection, PCB layout review, and BOM optimization for scalable production. Integrate and validate energy metering (E-metering) components and battery management systems. Work closely with firmware, mechanical, and production teams to ensure design-for-manufacture (DFM) and design-for-test (DFT) principles. Own the complete lifecycle: prototype field trials certification mass production (100k+ units). Collaborate with manufacturing partners to manage production, testing, and QA. Drive continuous improvement in hardware cost, reliability, and performance. Must-Have Qualifications: 6+ years of experience in embedded hardware design for IoT products. Strong expertise with ESP32, Quectel EC200U, LoRa, Bluetooth, and low-power designs. Hands-on experience with E-metering, power management, and battery-operated systems. Proven track record of end-to-end product development and scale-up to 100,000+ units. Experience in certification processes (CE, RoHS, etc.) and testing procedures. Excellent problem-solving skills and familiarity with field issues during scale. Preferred Experience with firmware/driver integration and hardware bring-up. Familiarity with production testing jigs, factory setups, and QA processes. Passionate about energy efficiency, sustainability, and smart devices. Why Join Us? Build impactful IoT products deployed at national scale. Work with a passionate, fast-moving team driving energy innovation. Ownership of hardware design decisions. Opportunity to lead and mentor junior engineers as we scale. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Embedded Hardware Engineer Experience: 6 - 8 Years Exp Salary : Competitive Preferred Notice Period : Within 45 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : ESP32 OR EC200U OR LoRA OR firmware/driver integration OR IoT Living Things (One of Uplers' Clients) is Looking for: Embedded Hardware Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Job Title: Senior Embedded Hardware Engineer (IoT) Experience Required: 6+ Years Location: Bangalore. Industry: Internet of Things (IoT), Electronics, Energy Tech About Us Living Things is at the forefront of driving the net-zero journey through cutting-edge IoT solutions. We help businesses optimize energy consumption, reduce carbon footprints, and embrace sustainabilitystarting with smarter air conditioning. Our scalable IoT platform has already impacted thousands of installations, and were just getting started. Role Overview We’re looking for a Senior Embedded Hardware Engineer with deep expertise in IoT hardware design and high-scale production, who has personally taken a product from concept to 100,000+ units in production. You'll lead the design, development, and optimization of embedded hardware systems for our IoT solutions. Key Responsibilities Architect and design embedded hardware systems using ESP32, EC200U, LoRa, Bluetooth, and battery-powered architectures. Lead schematic design, component selection, PCB layout review, and BOM optimization for scalable production. Integrate and validate energy metering (E-metering) components and battery management systems. Work closely with firmware, mechanical, and production teams to ensure design-for-manufacture (DFM) and design-for-test (DFT) principles. Own the complete lifecycle: prototype field trials certification mass production (100k+ units). Collaborate with manufacturing partners to manage production, testing, and QA. Drive continuous improvement in hardware cost, reliability, and performance. Must-Have Qualifications: 6+ years of experience in embedded hardware design for IoT products. Strong expertise with ESP32, Quectel EC200U, LoRa, Bluetooth, and low-power designs. Hands-on experience with E-metering, power management, and battery-operated systems. Proven track record of end-to-end product development and scale-up to 100,000+ units. Experience in certification processes (CE, RoHS, etc.) and testing procedures. Excellent problem-solving skills and familiarity with field issues during scale. Preferred Experience with firmware/driver integration and hardware bring-up. Familiarity with production testing jigs, factory setups, and QA processes. Passionate about energy efficiency, sustainability, and smart devices. Why Join Us? Build impactful IoT products deployed at national scale. Work with a passionate, fast-moving team driving energy innovation. Ownership of hardware design decisions. Opportunity to lead and mentor junior engineers as we scale. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

JOB DESCRIPTION Roles & responsibilities Here are some of the key responsibilities of Sr AI Research Scientist: Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). Experience with POCs on emerging and latest innovation in AI. Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments. Design and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance. Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures. Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection. Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks. Technical Leadership: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing. Ability to drive multiple teams and cross-collaborate to ensure the quality delivery. Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders. Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement. Mandatory technical & functional skills Machine learning frameworks - PyTorch or TensorFlow. Deep Learning algorithms - CNN, RNN, LSTM, Transformers LLMs ( BERT, GPT, etc.) and NLP algorithms. Design experience for fine Tuning of Open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc. GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker Scientific understanding - PEFT - LORA, QLORA, etc. Exposure to GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker In-depth conceptual understanding on emerging and latest innovation in AI. Stay current with AI trends - MCP, A2A protocol, ACP, etc. Preferred Technical & Functional Skills Langgraph/CrewAI/Autogen Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM Ops Ensure scalability and efficiency, handle data tasks, Cloud computing experience- Azure/AWS/GCP BigQuery/Synapse Key behavioral attributes/requirements Ability to mentor Managers and Tech Leads Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs RESPONSIBILITIES Roles & responsibilities Here are some of the key responsibilities of Sr AI Research Scientist: Research and Development: Conduct original research on generative AI models, focusing on model architecture, training methodologies, fine-tuning techniques, and evaluation strategies. Maintain a strong publication record in top-tier conferences and journals, showcasing contributions to the fields of Natural Language Processing (NLP), Deep Learning (DL), and Machine Learning (ML). Experience with POCs on emerging and latest innovation in AI. Multimodal Development: Design and experiment with multimodal generative models that integrate various data types, including text, images, and other modalities to enhance AI capabilities. Agentic AI Systems: Develop and design autonomous AI systems that exhibit agentic behavior, capable of making independent decisions and adapting to dynamic environments. Design and Implementation: Lead the design, development, and implementation of generative AI models and systems, ensuring a deep understanding of the domain. Select suitable models, train them on large datasets, fine-tune hyperparameters, and optimize overall performance. Algorithm Optimization: Optimize generative AI algorithms to enhance their efficiency, scalability, and computational performance through techniques such as parallelization, distributed computing, and hardware acceleration, maximizing the capabilities of modern computing architectures. Data Preprocessing and Feature Engineering: Manage large datasets by performing data preprocessing and feature engineering to extract critical information for generative AI models. This includes tasks such as data cleaning, normalization, dimensionality reduction, and feature selection. Model Evaluation and Validation: Evaluate the performance of generative AI models using relevant metrics and validation techniques. Conduct experiments, analyze results, and iteratively refine models to meet desired performance benchmarks. Technical Leadership: Provide technical leadership and mentorship to junior team members, guiding their development in generative AI through work reviews, skill-building, and knowledge sharing. Ability to drive multiple teams and cross-collaborate to ensure the quality delivery. Documentation and Reporting: Document research findings, model architectures, methodologies, and experimental results thoroughly. Prepare technical reports, presentations, and whitepapers to effectively communicate insights and findings to stakeholders. Continuous Learning and Innovation: Stay abreast of the latest advancements in generative AI by reading research papers, attending conferences, and engaging with relevant communities. Foster a culture of learning and innovation within the team to drive continuous improvement. Mandatory technical & functional skills Machine learning frameworks - PyTorch or TensorFlow. Deep Learning algorithms - CNN, RNN, LSTM, Transformers LLMs ( BERT, GPT, etc.) and NLP algorithms. Design experience for fine Tuning of Open source LLMs from Huggingface, Meta- LLaMA 3.1, BLOOM, Mistral AI etc. GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker Scientific understanding - PEFT - LORA, QLORA, etc. Exposure to GCP : Vertex AI or Azure : AI Foundry or AWS SageMaker In-depth conceptual understanding on emerging and latest innovation in AI. Stay current with AI trends - MCP, A2A protocol, ACP, etc. Preferred Technical & Functional Skills Langgraph/CrewAI/Autogen Large scale deployment of GenAI/DL/ML projects, with good understanding of MLOps /LLM Ops Ensure scalability and efficiency, handle data tasks, Cloud computing experience- Azure/AWS/GCP BigQuery/Synapse Key behavioral attributes/requirements Ability to mentor Managers and Tech Leads Ability to own project deliverables, not just individual tasks Understand business objectives and functions to support data needs QUALIFICATIONS This role is for you if you have the below Educational Qualifications Masters (MS by Research)/PhD or equivalent degree in Computer Science Preferences to research scholars from Tier 1 colleges- IITs, NITs, IISc, IIITs, ISIs, etc. Work Experience 12+ Years of experience with strong record of publications (at least 5) in top tier conferences and journals #KGS Show more Show less

Role: Senior Data Scientist Location: Hyderabad Notice Period: Immediate to 15days About the Role We are looking for a Senior Data Scientist to design and build intelligent chatbot systems that can interpret natural language queries and interact with structured and unstructured data using Text-to-SQL, RAG (Retrieval-Augmented Generation), and Agentic reasoning. Youll lead the development of multi-modal, context-aware, and autonomous agents that use large language models to query databases, invoke tools, retrieve knowledge, and plan actions, all within enterprise-grade environments. Key Responsibilities Build Text-to-SQL agents that convert natural language into accurate, executable SQL across various schemas. Design RAG pipelines to enrich LLM outputs using internal documents, tables, and API-based retrievers. Develop agentic frameworks that enable tool use, database interaction, planning, and task decomposition using LLMs. Tune prompts and build evaluation systems for accuracy, latency, grounding, and correctness. Work with product and data teams to build domain-specific few-shot examples, tool definitions, and vectorized schema representations. Optimize inference latency using frameworks like LangChain, Semantic Kernel, or Llama Index. Required Skills 4+ years in Data Science or NLP, with 2+ years in LLM-based application development. Experience with Text-to-SQL modeling (Spider, BIRD, etc.) and fine-tuning using synthetic or annotated query datasets. Strong understanding of LLM orchestration tools (LangChain, Semantic Kernel, or custom agents). Hands-on with RAG architectures: embedding generation, retriever tuning, chunking strategies, and reranking. Proficiency in Python, SQL, and vector search tools (FAISS, Pinecone, Weaviate, OpenSearch). Familiarity with prompt tuning, structured output parsing, and function calling (OpenAI, Mistral, Anthropic, etc.). Leadership & Collaboration Lead experimentation and architectural design for agent-based workflows (SQL agents, document agents, hybrid search agents). Mentor junior team members in LLM prompt engineering, schema design, and text- to-structure pipelines. Collaborate with ML engineers, product managers, and data owners to implement scalable conversational AI interfaces. Nice to Have Experience with vLLM, LoRA fine-tuning, or quantized model deployment. Prior work in multi-agent planning, self-healing agents, or semantic query generation. Familiarity with tools like SQLGlot, DSPy, DeepEval, and OpenAI function tools. Knowledge of structured RAG (combining structured + unstructured sources) and hybrid ranking.

You will be an experienced Embedded Firmware Developer who is passionate about embedded systems, IOT, and eager to work with a pioneering company like ours. Key Responsibilities: Understanding the client's requirements, primarily focused on IOT products. Developing Firmware for Microcontrollers. Conducting testing and debugging of the Firmware. Expected Skillsets: Excellent Embedded C programming skills. Extensive experience with ARM 32Bit controllers, particularly ARM Cortex Mx. Strong knowledge of peripheral interfaces such as RS485/I2C/UART/ADC. Preferably familiar with the working environment of Linux OS. Knowledge of Arduino library is an added advantage. High priority given to experience in developing IOT products using LORA. Experience with any RTOS for controllers like FreeRTOS would be advantageous. Preferably skilled in Wireless Communication technologies like LORA/BLE/WIFI/GSM. Self-learning mindset and passion. Ability to cooperate effectively with team members. If you are interested in this position and enjoy working with startup companies like ours, please send your resume to jobs_AT_ethicstech_DOT_in with "Application for the post of Embedded Firmware Developers" in the subject line. Job Location: Chennai Job Type: Full-time Freshers are welcome if they possess the expected skillset.,

The responsibilities for this role include conducting original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. You will be responsible for building Proof of Concepts (POCs) with emerging AI innovations and assessing their feasibility for production. Additionally, you will design and experiment with multimodal generative models encompassing text, images, audio, and other modalities. Developing autonomous, agent-based AI systems capable of adaptive decision-making is a key aspect of the role. You will lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. Optimizing AI algorithms for efficiency, scalability, and computational performance using parallelization, distributed systems, and hardware acceleration will also be part of your responsibilities. Managing data preprocessing and feature engineering, including cleaning, normalization, dimensionality reduction, and feature selection, is essential. You will evaluate and validate models using industry-standard benchmarks, iterating to achieve target KPIs. Providing technical leadership and mentorship to junior researchers and engineers is crucial. Documenting research findings, model architectures, and experimental outcomes in technical reports and publications is also required. It is important to stay updated with the latest advancements in NLP, DL, and generative AI to foster a culture of innovation within the team. The mandatory technical and functional skills for this role include strong expertise in PyTorch or TensorFlow. Proficiency in deep learning architectures such as CNN, RNN, LSTM, Transformers, and LLMs (BERT, GPT, etc.) is necessary. Experience in fine-tuning open-source LLMs (Hugging Face, LLaMA 3.1, BLOOM, Mistral AI, etc.) is required. Hands-on knowledge of PEFT techniques (LoRA, QLoRA, etc.) is expected. Familiarity with emerging AI frameworks and protocols (MCP, A2A, ACP, etc.) is a plus. Deployment experience with cloud AI platforms like GCP Vertex AI, Azure AI Foundry, or AWS SageMaker is essential. A proven track record in building POCs for cutting-edge AI use cases is also important. In terms of the desired candidate profile, experience with LangGraph, CrewAI, or Autogen for agent-based AI is preferred. Large-scale deployment of GenAI/ML projects with MLOps/LLMOps best practices is desirable. Experience in handling scalable data pipelines (BigQuery, Synapse, etc.) is a plus. A strong understanding of cloud computing architectures (Azure, AWS, GCP) is beneficial. Key behavioral attributes for this role include a strong ownership mindset, being able to lead end-to-end project deliverables, not just tasks. The ability to align AI solutions with business objectives and data requirements is crucial. Excellent communication and collaboration skills for cross-functional projects are also important.,

Key Responsibilities: Design, develop software for microcontrollers (ARM Cortex, STM32, AVR, PIC, ESP32, etc.). Write, test, and debug firmware in C/C++ Experiencing with UART, I2C, SPI, ADC, PWM, GPIO, Ethernet, Bluetooth, LoRa, Wi-Fi .

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt Ltd. We are hiring Data Science Architect for our client. Job Title: Data Science Architect - Python & AI/ML Location: Hyderabad Type: Full-Time Job Summary: We are looking for a skilled and passionate Data Science Architect - Python & AI/ML to design and implement advanced AI systems using AWS technologies. You will work on cutting-edge solutions like Retrieval Augmented Generation (RAG), GraphRAG, and agentic AI systems, leveraging the latest in GenAI tools and techniques. Key Responsibilities: Design and develop complex Generative AI solutions using AWS services Implement RAG and GraphRAG architectures Build scalable AI systems with AWS Bedrock and SageMaker Develop agent-based AI systems with reasoning capabilities Use vector databases and advanced ML methods for custom AI solutions Stay updated and integrate emerging GenAI technologies Optimize AI/ML models and enhance performance Required Skills & Expertise: Generative AI: RAG and GraphRAG methodologies LoRA (Low-Rank Adaptation) Agentic AI design principles Prompt engineering AI model fine-tuning AWS & Cloud: AWS Bedrock and SageMaker Cloud-native AI architecture AWS AI/ML services Technical Skills: Python (advanced) Strong understanding of LLMs and ML architectures Experience with vector databases Frameworks & Tools: PyTorch, TensorFlow, Hugging Face LangChain, LlamaIndex Nice to Have: Experience in enterprise AI strategy development Performance tuning of GenAI systems (Interested candidates can share their CV with us at or reach us at aradhana@hungrybird.in .) PLEASE MENTION THE RELEVANT POSITION IN THE SUBJECT LINE OF THE EMAIL. Example: KRISHNA, HR MANAGER, 7 YEARS, 20 20DAYS NOTICE. Name: Position applying for: Total experience: Notice period: Current Salary: Expected Salary: Thanks and Regards Aradhana Sonkar +91 9959417171 aradhana@hungrybird.in

We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologiesincluding large language models (LLMs), computer vision, machine learning, and data scienceto solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities: Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives. Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture. Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions. Own the AI/ML lifecyclefrom prototyping and experimentation to production deployment and monitoring. Generative AI & LLMs Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks. Deep experience in working with large language models (LLMs) including fine-tuning, evaluation, and deployment. Expertise in prompt engineering, agentic workflows, and custom LLM development. Proficient with Langchain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Machine Learning & Data Science Solve complex machine learning problems using supervised, unsupervised, and deep learning methods. Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring. Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies. Apply advanced analytics, time series forecasting, and predictive modeling techniques. Computer Vision Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning. Skills & Qualifications: 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs. Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost. Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc. Proficiency with GenAI tooling: Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc. Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies. Hands-on with deep learning frameworks such as PyTorch and TensorFlow. Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc. Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools. Strong database knowledge—both SQL (PostgreSQL) and NoSQL (DynamoDB). Familiarity with caching systems like Redis and Memcached. Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders. Preferred: Experience in leading enterprise-scale AI/ML deployments. Contributions to open-source GenAI/ML projects. Certifications in AWS AI/ML or equivalent.

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) Experience applying various machine learning techniques and understanding the key parameters that affect their performance Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs Excellent verbal and written communication Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis Create project plan and sprints for milestones / deliverables Spin VM, create and optimize clusters for Data Science workflows Create data pipelines to ingest data effectively Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms Research whether similar solutions have been already developed before building ML models Create optimized data models to query relevant data efficiently Run relevant ML / DL algorithms for business goal seek Optimize and validate these ML / DL models to scale Create light applications, simulators, and scenario builders to help business consume the end outputs Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively Integrate and operationalize the models in client ecosystem Document project artifacts and log failures and exceptions. Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks Show more Show less

As a Product Validation Tester for IoT products, you will be responsible for conducting validation tests encompassing hardware, software, and mechanical components. Your role will involve executing lab and field tests, documenting results, and collaborating closely with the Product Validation Manager to ensure that IoT devices meet quality and performance standards. You will conduct various tests including functional, performance, environmental, and mechanical tests for IoT products. This will involve both manual and automated testing for hardware and software components, as well as setting up and managing test equipment and environments according to the validation plan. Furthermore, you will be tasked with documenting and analyzing test results, identifying defects, and working with product development teams to resolve issues. Additionally, you will assist in real-world field tests to validate product performance under actual usage conditions and support compliance testing efforts. To be successful in this role, you should hold a Diploma or Bachelor's degree in Engineering (Mechanical, Electrical, or Electronics preferred) and have at least 3 years of experience in product validation or testing, ideally in the IoT or embedded systems domain. Strong familiarity with hardware and software testing methods is essential, along with proficiency in functional and environmental testing, IoT product testing techniques, problem-solving, and analytical skills. You will also need to possess skills in test equipment setup and management, test data analysis and reporting, communication, collaboration, and be familiar with Agile and Waterfall methodologies. Hands-on experience with testing tools and frameworks is desired, along with knowledge of IoT systems, communication protocols, automated testing frameworks, and mechanical components. This role primarily involves lab-based work with occasional field testing, within a collaborative work environment alongside cross-functional teams. As a Product Validation Tester, you will play a critical role in ensuring the quality and performance of IoT products through thorough testing and validation processes.,

As a highly skilled Senior Embedded Developer based in Mumbai, you will be responsible for designing, developing, and optimizing embedded systems for real-time applications. Your expertise in microcontrollers, real-time operating systems (RTOS), communication protocols, and low-level firmware development will play a crucial role in ensuring the seamless integration and high performance of embedded solutions. Your key responsibilities will include developing and optimizing embedded systems, working with microcontrollers and microprocessors, writing and optimizing firmware for real-time applications, and developing and maintaining real-time embedded systems. You will also collaborate with hardware engineers, implement interrupt-driven programming, utilize timers and counters, develop applications using Real-Time Operating Systems (RTOS), implement communication protocols, optimize performance, debug and troubleshoot systems, maintain technical documentation, and participate in peer code reviews. Additionally, you will guide junior developers, contribute technical expertise to project planning and execution, and work on PCB design and development. To be successful in this role, you should possess a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, along with at least 5 years of experience in embedded systems development. Strong proficiency in C, C++, and familiarity with assembly or Python is required, as well as hands-on experience with microcontrollers and processors such as ARM Cortex, STM32, PIC, AVR, or similar platforms. Experience with RTOS like FreeRTOS, Zephyr, or embedded Linux, proficiency in debugging tools, knowledge of networking and connectivity protocols, and familiarity with version control tools are also essential. Strong analytical and troubleshooting skills, as well as experience with Python, databases, frameworks, and React, are desired qualifications. Preferred qualifications for this role include experience in automotive, IoT, medical devices, or industrial automation industries, familiarity with FPGA, DSP programming, or cybersecurity in embedded systems, and knowledge of Agile/Scrum development methodologies.,