113 Lora Jobs - Page 4

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

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

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

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

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

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

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

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

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

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

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=7 to 12 , jd=Job Title:- IOTJob Location:- Job Type:- 06 months ContractualExp:- Min 7 to 12 MaxClient:- Vanguard LogisticsNo. of positions:- 2DurationImmediate:- Apptad is looking for a IOT Profile. It is a long-term job opportunity with us.IoT Stack Developers• Create modern scalable architecture for OT data pipeline with AWS native service• Supporting development of global solutions and replacing custom local solutions with standard global ones• Develop and integrate IoT devices, sensors, and microcontrollers to enable seamless data collection and connectivity.• Hands-on experience with cloud platforms like AWS IoT Core, Microsoft Azure IoT Hub, or Google Cloud IoT., Title=IoT Stack Developers, ref=6566532

Technical Leadership Schematic Design Development boards Hardware Development RF Design & Wireless Tech: Hands-on exp. with RF layout practices, impedance matching, antenna selection/integration, (LoRa, BLE, Wi-Fi, GSM, NB-IoT, GPS). EDA Tools Required Candidate profile Bachelor or Master's Electrical Eng, Electronics Eng. related field. Min 6-7 years exp electronics hardware design, development, with focus on schematic design. Basic knowledge of Embedded-C, Python

Role & responsibilities 1. Test Execution: Conduct functional, performance, environmental, and mechanical tests for IoT products. Perform manual and automated testing for hardware and software components. Set up and manage test equipment and environments as per the validation plan. 2. Documentation & Reporting: Record and analyze test results, highlighting issues and potential improvements. Prepare detailed test reports for internal and external stakeholders. 3. Defect Identification & Resolution: Identify, replicate, and document defects during testing. Collaborate with product development teams to resolve identified issues. 4. Field Testing: Assist in real-world field tests to validate product performance under actual use conditions. Collect and analyze field test data to support product validation. 5. Compliance Testing Support: Work with the Product Validation Manager and external labs to conduct compliance testing. Ensure adherence to relevant industry standards and certification requirements. 6. Continuous Improvement: Suggest improvements in testing methodologies and tools. Stay updated on industry trends, tools, and best practices in IoT product testing. Key Skills: Functional and Environmental Testing IoT Product Testing Techniques Problem-Solving and Analytical Skills Test Equipment Setup and Management Test Data Analysis and Reporting Communication and Collaboration Skills Familiarity with Agile and Waterfall methodologies Hands-on experience with testing tools and frameworks Preferred Skills: Knowledge of IoT systems and communication protocols (e.g., Wi-Fi, Bluetooth, LoRa). Experience with automated testing frameworks. Basic understanding of mechanical components and design validation. Working Conditions: Lab-based role with occasional field testing. Collaborative work environment with cross-functional teams.

The Role. The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking :. Proficiency in Large Models & Deep Neural Networks. Hands-on experience in working with large models & deep neural networks. Expertise in LLMs with working knowledge of large language models (LLMs). Extensive experience in System platform Architecture. Experience in Development Preferable for memory/storage/ any embedded system. In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. Extensive experience with C/C++ and Python programming. Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Integrate multi-modal AI models (text, image, speech) into enterprise solutions. Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ensure AI models follow ethical AI guidelines, bias mitigation, and security best :. Tech in Computer Science, Electrical Engineering. 8 to 10 Years of experience in relevant domain. Strong analytical & abstract thinking ability as well as technical communication skills. Able to work independently and perform in fast paced environment. Ability to troubleshoot and debug complex issues. Working Knowledge on Device Driver is desirable. Prior experience in working with Skills :. Languages & Frameworks Proficiency in Python, PyTorch, TensorFlow, JAX. (ref:hirist.tech).

Role & responsibilities Key Skills required : Generative AI, Multi Modal AI Creative AI solutions and workflows across all creative content types including Copy/Text, Imagery, Key Visuals, Characters, Avatars, Audio, Speech and Video AI Creative AI Automation workflows with content creation and content editing at scale, using AI services and AI APIs Experience with multiple Multi Modal AI Foundation Models LLM, LLM App Dev AI Agents, Agentic AI Workflows Responsibilities : Design and build web apps and solutions that leverage Creative AI Services, Multi Modal AI models, and Generative AI workflows Leverage Multi modal AI capabilities supporting all content types and modalities, including text, imagery, audio, speech and video Build creative automation workflows that help produce creative concepts, creative production deliverables, and integrated creative outputs, leveraging AI and Gen-AI models Integrate AI Image Gen Models and AI Image Editing models from key technology partners Integrate Text / Copy Gen Models for key LLM providers Integrate Speech / Audio Gen and Editing models for use cases such as transcription, translation, and AI generated audio narration Integrate AI enabled Video Gen and Video Editing models Fine-Tune Multi Modal AI models for brand specific usage and branded content generation Constantly Research and explore emerging trends and techniques in the field of generative AI and LLMs to stay at the forefront of innovation. Drive product development and delivery within tight timelines Collaborate with full-stack developers, engineers, and quality engineers, to develop and integrate solutions into existing enterprise products. Collaborate with technology leaders and cross-functional teams to develop and validate client requirements and rapidly translate them into working solutions. Develop, implement and optimize scalable AI-enabled products Integrate Gen-AI and Multi Modal AI solutions into Cloud Platforms, Cloud Native Apps, and custom Web Apps Execute implementation across all layers of the application stack including front-end, back-end, APIs, data and AI services Build enterprise products and full-stack applications on the MERN + Python stack, with a clear separation of concerns across layers Skills and Competencies: Deep Hands-on Experience in Multi modal AI models and tools. Hands-on Experience in API integration with AI services Multi Modal AI – competencies : Hands-on Experience with intelligent document processing and document indexing + document content extraction and querying, using multi modal AI Models Hands-on Experience with using Multi modal AI models and solutions for Imagery and Visual Creative – including text-to-image, image-to-image, image composition, image variations, etc. Hands-on Experience with popular AI Image Composition and Editing models from providers such as Adobe Firefly, Getty Images, ShutterStock, Flux and Flux Pro, and Stable Diffusion, and the ability to integrate them programmatically over API calls and workflows Hands-on Experience with Computer Vision and Image Processing using Multi-modal AI – for use cases such as object detection, automated captioning, automated masking, and image segmentation – again all done programmatically over API calls and Workflows Hands-on Experience with using Multi modal AI for Speech – including Text to Speech, Speech to Text, and use of Pre-built vs. Custom Voices Hands-on Experience with building Voice-enabled and Voice-activated experiences, using Speech AI and Voice AI solutions Hands-on Experience with AI Character and AI Avatar development, using a variety of different tools and platforms Fine-Tuning Creative AI Content models for Custom Styles, Custom Characters, and Custom Brand specific imagery Fine-Tuning Speech Models for Custom Voices Good understanding of advanced fine-tuning techniques such as LoRA Ability to execute and run fine-tuning workflows, end-to-end, in particular for Image Gen and Image Editing models Hands-on Experience with leveraging APIs to orchestrate across Multi Modal AI models Hands-on Experience with building workflows that orchestrate across Multi Modal AI models Good Experience with using AI Assistants to drive natural language interactions and orchestration with Multi Modal AI models Good Experience with use of AI Agents and Agentic AI workflows to drive dynamic orchestration across Multi Modal AI services and models Programming Skills : Good Expertise in MERN stack (JavaScript) including client-side and server-side JavaScript Good Expertise in Python based development, including Python App Dev for Multi Modal AI Integration Well-rounded in both programming languages Strong experience in client-side JavaScript Apps and building Static Web Apps + Dynamic Web Apps both in JavaScript Hands-on Experience in front-end and back-end development Minimum 2+ years hands-on experience in working with Full-Stack MERN apps, using both client-side and server-side JavaScript Minimum 2 years hands-on experience in Python development Minimum 2 years hands-on experience in working with LLMs and LLM models, using Python LLM Dev Skills : Solid Hands-on Experience with building end-to-end RAG pipelines and custom AI indexing solutions to ground LLMs and enhance LLM output Good Experience with building AI and LLM enabled Workflows Hands-on Experience integrating LLMs with external tools such as Web Search Ability to leverage advanced concepts such as tool calling and function calling, with LLM models Hands-on Experience with Conversational AI solutions and chat-driven experiences Experience with multiple LLMs and models – primarily GPT-4o, GPT o1, and o3 mini, and preferably also Gemini, Claude Sonnet, etc. Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI, and perferably also AWS Bedrock , and/or GCP Vertex AI . Hands-on Experience with Assistants and the use of Assistants in orchestrating with LLMs Hands-on Experience working with AI Agents and Agent Services . Nice-to-Have capabilities (Not essential) : Hands-on Experience with building Agentic AI workflows that enable iterative improvement of output Hands-on experience with both Single-Agent and Multi-Agent Orchestration solutions and frameworks Hands-on experience with different Agent communication and chaining patterns Ability to leverage LLMs for Reasoning and Planning workflows, that enable higher order “goals” and automated orchestration across multiple apps and tools Ability to leverage Graph Databases and “Knowledge Graphs” as an alternate method / replacement of Vector Databases, for enabling more relevant semantic querying and outputs via LLM models. Good Background with Machine Learning solutions Good foundational understanding of Transformer Models Good foundational understanding of Diffusion Models Some Experience with custom ML model development and deployment is desirable. Proficiency in deep learning frameworks such as PyTorch, or Keras. Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry.

Job Description: ENERGY7 is seeking a passionate and skilled IoT Engineer to join our team working on cutting-edge projects in remote diagnostics, predictive maintenance, and real-time monitoring for Indian Railways and global clients. You will be responsible for designing, developing, and deploying end-to-end IoT solutions, integrating hardware, firmware, and cloud-based analytics. Key Responsibilities: Design and develop IoT devices using microcontrollers (ESP32, STM32, etc.) Interface sensors and actuators via RS-485, UART, I2C, SPI, Modbus, LoRa, Zigbee, or LTE. Develop firmware in C/C++/MicroPython for real-time data acquisition and control. Integrate with cloud platforms (AWS, Azure, or custom MQTT/HTTP/REST endpoints). Collaborate with data science and software teams to ensure reliable data flow and system scalability. Participate in system testing, field deployment, debugging, and performance tuning. Create technical documentation and provide support during installation and maintenance. Desired Candidate Profile: Bachelor's/Master's in Electronics, Instrumentation, Computer Science, or related field. 2-5 years of experience in IoT hardware design and firmware development. Proficiency in embedded C/C++, RTOS, or FreeRTOS. Familiarity with industrial communication protocols like Modbus RTU/TCP, MQTT, RS-485, etc. Experience in PCB design and hardware debugging (preferred). Working knowledge of cloud platforms or edge computing (Jetson, Raspberry Pi, etc.) is a plus. Strong problem-solving, documentation, and communication skills. Nice to Have: Experience with predictive maintenance or condition monitoring systems. Knowledge of AI/ML or data pipelines for sensor data. Exposure to Indian Railway signalling systems or industrial automation setups.

Key Responsibilities: Research & Innovation: Conduct applied research in generative AI, foundation models, NLP, computer vision, and multimodal AI. Stay abreast of the latest publications and open-source advancements. Model Development: Fine-tune, evaluate, and optimize large language models (LLMs), transformers, and other generative models for specific business and product use cases. Prototyping & Experimentation: Build proof-of-concepts and experimental systems that demonstrate the potential of GenAI across domains such as content generation, summarization, synthetic data, agent systems, etc. Data & Evaluation Pipelines: Design robust data pipelines, evaluation metrics, and benchmarking systems to validate model performance, safety, and bias. Collaboration: Work with cross-functional teams including product managers, ML engineers, and data scientists to translate research into production-grade systems. Open Source & IP Contribution: Publish findings in peer-reviewed venues, contribute to open-source projects, or generate intellectual property relevant to the business. Required Qualifications: 57 years of experience in machine learning or applied AI roles, with at least 23 years working on generative models or related research. Strong foundation in deep learning frameworks such as PyTorch, TensorFlow, or JAX. Experience with LLMs (e.g., GPT, LLaMA, Claude), diffusion models, or vision-language models. Proficient in Python and ML tools/libraries such as Hugging Face Transformers, LangChain, or similar. Understanding of responsible AI practices, bias mitigation, and model explainability. Master's or PhD in Computer Science, Machine Learning, Mathematics, or related fields. Preferred Qualifications: Experience with open-source LLMs or fine-tuning techniques like LoRA, PEFT, RLHF, etc. Knowledge of MLOps practices and deployment of models in production (e.g., via Kubernetes, Ray, Triton).

Job Title: Firmware and Embedded Engineer Key Responsibilities: Firmware Development: Develop and maintain firmware for microcontroller-based devices using FreeRTOS. Linux System Development: Design and implement Yocto-based Linux systems, ensuring stability and efficiency. Device Driver Development: Create custom device drivers for BLE, LoRa, and other communication protocols. Sensor Data Management: Develop firmware for efficient processing and management of sensor data. Embedded Machine Learning: Implement and optimize embedded ML algorithms for predictive analytics and real-time decision-making. Testing & Debugging: Conduct comprehensive testing, including unit, integration, and system-level testing, and perform debugging to ensure the highest quality of firmware. Cross-Functional Collaboration: Work closely with hardware engineers and software developers to ensure seamless integration of firmware with other system components. Documentation & Compliance: Maintain detailed documentation of all firmware development processes and ensure compliance with relevant industry standards. Qualifications: Bachelors or Masters degree in Computer Engineering, Electrical Engineering, or a related field. 7+ years of experience in firmware and embedded system development. Proficiency in FreeRTOS for microcontroller-based systems. Experience in developing Yocto-based Linux systems. Skilled in creating custom device drivers, particularly for BLE and LoRa. Experience with Digital Signal Processing, Filter Design and RF design. Knowledge in processing sensor data and implementing embedded machine learning algorithms. Strong troubleshooting and problem-solving skills. Excellent written and verbal communication skills. Preferred Skills: Familiarity with IoT device development, particularly in pet wellness or consumer electronics. Experience with wireless and wired communication protocols. Proven ability to collaborate effectively in a multidisciplinary team environment.

Job Description Summary role description: Hiring for a Solution Architect for an InsurTech platform provider, Life and Health Insurance. Company description: Our client is a VC-funded InsurTech platform company, providing software platforms for Life Insurance and Health Insurance companies across the globe. Leveraging their domain expertise, regulatory knowledge and technology experience, they architect innovative products and disrupt the Insurance value chain from Customer Acquisition to Engagement. Their products serve customers across the APAC region. Role details: Title / Designation : Solutions Architect Location: Pune/Mumbai Work Mode: Work from office Role & responsibilities: Define and evolve AI/ML architecture roadmap for FWA, IDP, and Agentic AI frameworks. Lead technical presentations and solution design sessions with customers. Design scalable architectures for multi-agent systems and autonomous decision-making. Drive innovation by evaluating emerging AI/ML technologies, especially AI agents. Architect cloud-native platforms supporting the complete AI/ML lifecycle. Provide technical leadership across product development and customer implementation. Collaborate with data scientists, engineers, and business stakeholders. Stay at the forefront of AI/ML innovations, particularly autonomous agents and LLMs. Establish and enforce technical standards and architectural guidelines. Candidate requirements: 10+ years in software architecture/system design in insurance domain, with 5+ years in AI/ML systems/platforms. Proven experience delivering large-scale AI/ML solutions, preferably with autonomous agents. Experience with cloud-native architectures (AWS, Azure, GCP), containerization (Docker, Kubernetes), and microservices. Deep expertise in AI/ML system architecture (model serving, MLOps/LLMOps pipelines, distributed computing). Strong understanding of Agentic AI, multi-agent systems, and LLMs (including LoRA, PEFT fine-tuning). Bachelor's or Master's in CS, SE, Data Science, or related technical field. Exceptional technical leadership and communication skills. Selection process: Interview with Senior Solution Architect Interview with CTO HR Discussion Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

Role & responsibilitiMes Candiate needs to be 8+ Years of Experience Details on tech stack Python Prompt engineering Best practices for prompt engineering How LLM can be used in applications for a variety of tasks NLP Understanding of typical NLP problems: classification, NER, summarization, question answering, sentiment analysis, etc. Theoretical intuitive understanding of how Transformers work (tokenization, attention, etc). Word and sentence embeddings Vector search Vector databases, performance tuning Document chunking techniques LLM applications development LangChain, LlamaIndex Chain of Thoughts, DSP, and other techniques Agents and tools Google cloud (GCP) Nice to have requirements to the candidate Preferable, the engineers are expected to have IT services/consulting experience. Proficient in developing LLM-powered systems using advanced prompt engineering techniques, RAG and agentic design patterns. Experienced with frameworks like LangChain, LlamaIndex, and DSPy. Familiar with evaluation approaches and metrics for different types of LLM-based systems. Experienced with keyword and vector search methods, including understanding of their underlying algorithms. Familiar with popular vector search engines. Competent in various document understanding models and techniques to parse complex documents and implement effective chunking strategies for RAG systems. Familiar with LLM and embedding models fine-tuning techniques. Competent in using joint vision-language and generative models to solve various problems related to image generation, visual question answering, and multi-modal search. Familiar with diffusion models and associated techniques like LoRA, Dreambooth, and ControlNet. Understanding of the challenges and risks associated with the development of Generative AI systems and how to mitigate them. Familiar with various architecture design patterns for different types of LLM-based applications such as chatbots, text2sql, document understanding, etc. Familiar with various approaches to scalability and cost reduction in Generative AI systems. Ability to stay updated with the latest advancements in Generative AI and integrate emerging technologies to drive innovation and improve the performance of AI systems. Familiar with Responsible AI principles and Human-AI interaction design best practices. Preferred candidate profile

Company Name - Fission Labs Apply Here - https://app.fabrichq.ai/jobs/0e46cebe-8b91-4a96-9061-950b66dc4d54 About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Key Responsibilities Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions Architect scalable AI systems using AWS Bedrock and SageMaker Design and implement agentic AI systems with advanced reasoning capabilities Develop custom AI solutions leveraging vector databases and advanced machine learning techniques Evaluate and integrate emerging GenAI technologies and methodologies Technical Expertise Requirements Generative AI Technologies Expert-level understanding of: Retrieval Augmented Generation (RAG) Vector Database architectures Agentic AI design principles AWS AI Services Comprehensive expertise in: AWS Bedrock Amazon SageMaker AWS AI/ML services ecosystem Cloud-native AI solution design Technical Skills Advanced Python programming for AI/ML applications

Company Name - Fission Labs Apply Here - https://app.fabrichq.ai/jobs/0e46cebe-8b91-4a96-9061-950b66dc4d54 About Us: Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward.With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals. Key Responsibilities Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions Architect scalable AI systems using AWS Bedrock and SageMaker Design and implement agentic AI systems with advanced reasoning capabilities Develop custom AI solutions leveraging vector databases and advanced machine learning techniques Evaluate and integrate emerging GenAI technologies and methodologies Technical Expertise Requirements Generative AI Technologies Expert-level understanding of: Retrieval Augmented Generation (RAG) Vector Database architectures Agentic AI design principles AWS AI Services Comprehensive expertise in: AWS Bedrock Amazon SageMaker AWS AI/ML services ecosystem Cloud-native AI solution design Technical Skills Advanced Python programming for AI/ML applications

Conceptualize, design, and produce engaging and high-quality videos using AI video generation tools like InVideo AI, Runway ML, Kling AI, and other relevant software.A strong portfolio showcasing your AI-generated video work is essential.

Roles and Responsibilities: As a, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. - Engage with clients to understand current and future business goals and translate business problems into analytical frameworks - Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs - Create repeatable, interpretable and scalable models - Effectively communicate the analytics approach and insights to a larger business audience - Collaborate with team members, peers and leadership at Tredence and client companies Qualification: - Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. - 5+ years of experience in data science, building hands-on ML models - 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. - Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. - Excellent programming skills in Python. Strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. - Advanced SQL skills with SQL Server and Spark experience. - Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks - Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. - Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment - Experience with data visualization tools -- PowerBI, Tableau, R Shiny, etc. preferred - Experience with cloud platforms such as Azure, AWS is preferred but not required. Required Skills g, Pyspark, Python, SQL, GenAi, NLP, Clasical ML, DL, Supervised ML, Transformer Models, Transformers, Unsupervised ML

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 Python's 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 Required Skills g, Pyspark, Python, SQL, GenAi, NLP, Casical ML, DL, Supervised ML, Transformer Models, Transformers, Unsupervised ML