439 Cuda Jobs - Page 5

Job Title:Tech Lead C# .NetExperience10-15 YearsLocation:Mumbai : Qualification Criteria/Work Experience EssentialThe successful candidate will be: Good logical skills Excellent understanding of architecture patterns used for designing Web products Develop and deliver architectural blueprints for functional requirements Experience in requirement analysis and deriving business functionalities. Experience on estimating, designing and developing complex software solutions using C++/C# technologies Experience of working on Microsoft Technologies, IDEs and various DevOps tools Ability to collaborate effectively with stakeholders (Product Owner, higher management and technical team) that is familiar to them e.g. by using terminology with which they are familiar and minimizing the use of unnecessary technical jargon A self-starter with an insatiable desire to resolve issues promptly and satisfactorily. Technologies Hands-on Experience (Years) Priority C# .NET, .NET Framework, MVC ASP.NET 8+ 1 WPF, WCF 4+ 3 C++ 2+ 2 Desirable Technologies Hands-on Experience (Years) Priority SQL Server 5+ 2 RabbitMQ/ActiveMQ 5+ 2 Git GitHub 2+ 2 NVIDIA CUDA 3+ 2

If Intrested !!!! Please Fill the below details and share your updated resume to nancy.sylvia@ilinktalent.org Name: Mobile num: Email id: Current company: Total years of experience: Relevant years of experience: Current CTC: Expected CTC: Current location: Preferred location: Notice period: If immediate joiner - Last working date: Algorithms & Optimization JD Role: Software Engineer/Senior Software Engineer Organization: Multicoreware Pvt Ltd Website: https://multicorewareinc.com/ JD Code: PC002 Openings: 3 Location: Chennai & Coimbatore Permanent Role Experience: 2-5 Years We are seeking a talented engineer to implement and optimize machine learning, computer vision, and numeric libraries for target hardware architecture, including CPUs, GPUs, DSPs, and other accelerators. Your expertise will be instrumental in enabling efficient and high-performance execution of algorithms on these hardware platforms. Key Responsibilities: Implement and optimize machine learning, computer vision, and numeric libraries for target hardware architectures, including CPUs, GPUs, DSPs, and other accelerators. Work closely with software and hardware engineers to ensure optimal performance on target platforms. Implement low-level optimizations, including algorithmic modifications, parallelization, vectorization, and memory access optimizations, to fully leverage the capabilities of the target hardware architectures. Work with customers to understand their requirements and implement libraries to meet their needs. Develop performance benchmarks and conduct performance analysis to ensure the optimized libraries meet the required performance targets. Stay current with the latest advancements in machine learning, computer vision, and high-performance computing. Qualifications: BTech/BE/MTech/ME/MS/PhD degree in CSE/IT/ECE >2 years of experience working in Algorithm Development, Porting, Optimization & Testing Proifcient in programming languages such as C/C++, CUDA, OpenCL, or other relevant languages for hardware optimization. Hands-on experience with hardware architectures, including CPUs, GPUs, DSPs, and accelerators, and familiarity with their programming models and optimization techniques. Knowledge of parallel computing, SIMD instructions, memory hierarchies, and cache optimization techniques. Experience with performance analysis tools and methodologies for proling and optimization. Knowledge of deep learning frameworks and techniques is good to have Strong problem-solving skills and ability to work independently or within a team.

Strong hands-on experience in Python, especially in scientific computing using PyTorch and NumPy Solid understanding of CUDA programming and C++ fundamentals

Key Responsibilities : Design, develop, and deploy advanced image and video generation systems using deep learning models. Lead research and prototyping of diffusion , GAN , and transformer-based architectures for generative tasks. Optimize models for quality, speed, and scalability using accelerated compute (CUDA, TensorRT, etc.) . Work with cross-functional teams (Product, Design, Frontend) to integrate AI pipelines into production apps or platforms. Contribute to system architecture and ensure reproducibility, versioning, and evaluation of models. Evaluate new advancements in generative AI and drive R&D to production transition. Required Qualifications : 2+ years of hands-on experience in AI/ML with a strong focus on generative models. Proven experience working with video generation models (e.g., Sora, Gen-2 by Runway, Synthesia, or custom pipelines). Strong background in image generation using Diffusion Models (Stable Diffusion, DALL·E, Imagen) or GANs (StyleGAN2/3). Proficient in Python and deep learning libraries: PyTorch, TensorFlow, or JAX. Experience with training large-scale models using multi-GPU setups (e.g., DDP, DeepSpeed, or Hugging Face Accelerate). Solid knowledge of computer vision, image processing, and neural rendering techniques. Hands-on with model fine-tuning, LoRA/PEFT, ControlNet, DreamBooth, etc. Preferred Tools & Frameworks : Stable Diffusion, DALL·E, MidJourney, Sora, Gen-2, VQ-GAN, Pix2Pix, CycleGAN, AnimateDiff ControlNet, T2I-Adapter, VideoCrafter, Pika Labs, ZeroScope, ModelScope FastAPI, Flask, or gRPC for serving models Streamlit, Gradio, or React (frontend) for rapid prototyping AWS / GCP / Azure, especially with GPU instances TorchServe, NVIDIA Triton, or Vertex AI for scalable model serving

As a senior engineer at NVIDIA, you will play a crucial role in the optimization of deep learning workloads on cutting-edge hardware and software platforms. Your primary responsibility will be to understand, analyze, and profile these workloads to achieve peak performance. By building automated tools for workload analysis and optimization, you will contribute to enhancing the efficiency of GPU utilization and cloud application performance across diverse GPU architectures. Collaboration with cross-functional teams will be essential as you identify bottlenecks and inefficiencies in application code, proposing optimizations to drive end-to-end platform optimization. Your role will involve designing and implementing performance benchmarks and testing methodologies to evaluate application performance accurately. To qualify for this role, you should hold a Master's degree in CS, EE, or CSEE, or possess equivalent experience. With at least 5 years of experience in application performance engineering, you are expected to have a background in deep learning model architectures, proficiency in tools such as NVIDIA NSight and Intel VTune, and a deep understanding of computer architecture and GPU fundamentals. Proficiency in Python and C/C++ will be essential for analyzing and optimizing application code effectively. To stand out from the crowd, strong fundamentals in algorithms and GPU programming experience (CUDA or OpenCL) will be highly beneficial. Hands-on experience in performance optimization and benchmarking on large-scale distributed systems, familiarity with NVIDIA's server and software ecosystem, and expertise in storage systems, Linux file systems, and RDMA networking will further distinguish you as a top candidate. Joining NVIDIA means being part of a dynamic team that leads the AI revolution, offering you the opportunity to directly impact the hardware and software roadmap in a fast-growing technology company. If you are unafraid to tackle challenges across the hardware/software stack and are passionate about achieving peak performance in deep learning workloads, we want to hear from you.,

About Company: Our client organization's mission is to empower people to participate in global conversations through communities. They are responsible for the consumer-facing application on the Web, Android, and iOS platform. In this role, you'll work with a specific team within this organization to drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. Poster Experience specifically focuses on the user journey, which is the main source of user content for the product. We aim to make it easier, faster, and smarter to create and participate in conversations, and we drive several core product metrics for the entire ecosystem. This specific role will involve migrating legacy Python microservice code to one or more existing Go microservices. Successful candidates have prior experience in these migrations at large scale (think millions of actions per day) and understand how to instrument and monitor their code for parity and consistency during rollout. Job Description: Job Title: CUDA/C++ and Python Developer Location: Pan India Experience: 6+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Roles and Responsibilities: What does day-to-day look like: Translate CUDA/C++ code into equivalent Python implementations using PyTorch and NumPy, ensuring logical and performance parity. Analyze CUDA kernels and GPU-accelerated code for structure, efficiency, and function before translation. Evaluate LLM-generated translations of CUDA/C++ code to Python, providing technical feedback and corrections. Collaborate with prompt engineers and researchers to develop test prompts that reflect real-world CUDA/PyTorch tasks. Participate in RLHF workflows, ranking LLM responses and justifying ranking decisions clearly. Debug and review translated Python code for correctness, readability, and consistency with industry standards. Maintain technical documentation to support reproducibility and code clarity. Propose enhancements to prompt structure or conversion approaches based on common LLM failure patterns. Requirements: 5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++. Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. Solid understanding of CUDA programming concepts and C++ fundamentals. Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. Familiarity with GPU computation, parallelism, and performance-aware coding practices. Strong debugging skills and attention to numerical consistency when porting logic across languages. Experience evaluating AI-generated code or participating in LLM tuning is a plus. Ability to communicate technical feedback clearly and constructively. Fluent in conversational and written English communication skills.

Company Description Samgnya (Q-communication T-Hub) supports the National Quantum Mission (NQM) by focusing on Quantum Communication. Our goal is to enhance digital infrastructure security through quantum mechanics, positioning India as a leader in Quantum Technologies. We strive to advance the nation's quantum capabilities by fostering innovation and research. Join us in driving the frontier of quantum technology. Role Description We are seeking a full-time GPU Manager for our team at Samgnya, located in Chennai. The GPU Manager will oversee the development and management of GPU infrastructure, optimise computational tasks, and provide support for quantum communication projects. Day-to-day tasks include managing GPU resources, collaborating with research teams, ensuring efficient operation of GPU clusters, and contributing to project planning. Qualifications Experience in GPU infrastructure management and optimisation Proficiency in parallel computing and high-performance computing Strong knowledge of CUDA, OpenCL, or similar technologies Familiarity with quantum mechanics and quantum communication is a plus Excellent problem-solving and analytical skills Proficiency in Scientific Programming. Strong organisational and project management abilities Bachelor's or Master's degree in Computer Science, Engineering, or a related field Relevant experience in managing computational resources and supporting research teams Excellent written and verbal communication skills Workplace - Chennai.

Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcasts. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Men’s T20 World Cup, ICC Women’s World Cup, and Men's FIH Hockey World Cup, to name a few. Role As a Software Engineer, you will play a pivotal cross-functional role in our product team. Your main responsibility will be: Innovate, implement, support, and iterate on our real-time application systems, infrastructure, and code Write and improve high-performance, highly efficient, and highly maintainable C++ Optimizing back-end systems in C++. Implementing and optimizing computer vision algorithms. Modifying and extending functionalities within video card SDKs, Live streaming libraries. Building and maintaining robust software development pipelines. Collaborating on general software development tasks like code review, testing, and debugging. Continuously learning and solving complex problems. This role is ideal for developers who are eager to grow, tackle complex technical challenges, and thrive in a collaborative environment. Responsibilities Designing, optimizing, and maintaining backend components and modules using C++ Building and optimizing development pipelines to ensure seamless integration and deployment Handling large volumes of data in real-time. Collaborating with cross-functional teams to implement solutions across various technical domains Working on integrating and optimizing third-party SDKs, Live-streaming libraries, including those related to video processing and computer vision Contributing to the full software development lifecycle, including requirement gathering, architecture, testing, and deployment Debugging, troubleshooting, and optimizing performance-critical applications Adhering to best practices in code quality, version control, and software engineering standards Proactively learn new technologies and frameworks to meet project needs. Qualifications, Skills, and Competencies Strong proficiency in C++ with a minimum of 5+ years of professional experience as a system engineer or architect for complex, high-performance systems Degree in Computer Science, Software Engineering or similar Must have C++, Design Patterns, Architectural thinking Experience working with backend development, SDKs, or system-level programming. Hands-on experience with building and maintaining software pipelines for CI/CD (Continuous Integration/Continuous Delivery). Experience working with Databases is a plus. Familiarity with computer vision algorithms and video processing is a plus. Excellent problem-solving skills with the ability to learn and adapt to new technologies quickly. Solid understanding of general software development practices, including version control (e.g., Git), testing, and debugging. Ability to work both independently and as part of a team in a dynamic environment. Cuda experience is an advantage. Experience with video card SDKs, live streaming libraries, computer vision libraries like OpenCV. Strong communication and collaboration skills. Location: Goa/Mumbai Reporting To : Product Head Joining Date : Immediate to 30 Days Interested candidates, please send your CV to careers@quidich.com

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Description Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities: In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements: Master’s/Bachelor’s degree in computer science or equivalent. 2-4 years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong in C/C++ programming, Design Patterns and OS concepts. Good scripting skills in Python. Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary Job Description Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! Responsibilities In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. Requirements Master’s/Bachelor’s degree in computer science or equivalent. 2-4 years of relevant work experience in software development. Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong in C/C++ programming, Design Patterns and OS concepts. Good scripting skills in Python. Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Familiarity with Linux and Windows environment Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3077906

You are an experienced Lead Generative AI Engineer responsible for training, optimizing, scaling, and deploying various generative AI models including large language models, voice/speech foundation models, vision, and multi-modal foundation models using cutting-edge techniques and frameworks. Your role involves architecting and implementing state-of-the-art neural architecture, robust training, and inference infrastructure to efficiently take complex models with billions of parameters to production while optimizing for low latency, high throughput, and cost efficiency. Your key responsibilities include: - Architecting and refining foundation model infrastructure to support optimized AI models deployment focusing on C/C++, CUDA, and kernel-level programming enhancements. - Implementing optimization techniques like quantization, distillation, sparsity, streaming, and caching for model performance enhancements. - Spearheading the development of Vision pipelines to ensure scalable training and inference workflows of billions of parameter foundation models. - Innovating for state-of-the-art architectures involving Panoptic Segmentation, Image Classification, and Image Generation. - Designing, developing, and innovating state-of-the-art large multimodal models. - Executing training and inference processes to minimize latency and maximize throughput utilizing GPU clusters and custom hardware. - Integrating and tailoring frameworks like PyTorch, TensorFlow, DeepSpeed, Lightening, FSDP, and Habana for fast model training and inference. - Enhancing post-deployment mechanisms with exhaustive testing, real-time monitoring, and robustness checks. - Driving continuous improvement initiatives for deployed models with automated pipelines for drift detection and performance degradation. - Leading the charge in model management including version control, reproducibility, and lineage tracking. - Cultivating a culture of high-performance computing and optimization within the AI/ML domain. Qualifications: - Ph.D. with 5+ years or MS with 8+ years of experience in ML Engineering, Data Science, or related fields. - Demonstrated expertise in high-performance computing with proficiency in Python, C/C++, CUDA, and kernel-level programming for AI applications. - Extensive experience in optimizing training and inference for large-scale AI models. - Understanding of Diffusion Models, Variational Autoencoders, Bayesian Modelling, and Reinforcement Learning is beneficial. - Experience in building billions of parameters generative AI foundation models. - Proven success in deploying optimized ML systems on a large scale using cloud infrastructures and GPU resources. - In-depth understanding and hands-on experience with advanced model optimization frameworks and MLOps tools. - Familiarity with contemporary MLOps frameworks and their application in production environments. - Strong grasp of state-of-the-art ML infrastructures, deployment strategies, and optimization methodologies. - Innovative problem-solving skills and collaborative mindset. - Exceptional communication and team collaboration skills.,

What does day-to-day look like: Translate CUDA/C++ code into equivalent Python implementations using PyTorch and NumPy, ensuring logical and performance parity. Analyze CUDA kernels and GPU-accelerated code for structure, efficiency, and function before translation. Evaluate LLM-generated translations of CUDA/C++ code to Python, providing technical feedback and corrections. Collaborate with prompt engineers and researchers to develop test prompts that reflect real-world CUDA/PyTorch tasks. Participate in RLHF workflows, ranking LLM responses and justifying ranking decisions clearly. Debug and review translated Python code for correctness, readability, and consistency with industry standards. Maintain technical documentation to support reproducibility and code clarity. Propose enhancements to prompt structure or conversion approaches based on common LLM failure patterns. Requirements: 5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++. Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. Solid understanding of CUDA programming concepts and C++ fundamentals. Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. Familiarity with GPU computation, parallelism, and performance-aware coding practices. Strong debugging skills and attention to numerical consistency when porting logic across languages. Experience evaluating AI-generated code or participating in LLM tuning is a plus. Ability to communicate technical feedback clearly and constructively. Fluent in conversational and written English communication skills.

LLM Cuda/C++ and Python Developer Location : Remote Requirements: 5+ years of overall work experience, with at least 3 years of relevant experience in Python and 2+ years in CUDA/C++. Strong hands-on experience with Python, especially in scientific computing using PyTorch and NumPy. Solid understanding of CUDA programming concepts and C++ fundamentals. Demonstrated ability to analyze CUDA kernels and accurately reproduce them in Python. Familiarity with GPU computation, parallelism, and performance-aware coding practices. Strong debugging skills and attention to numerical consistency when porting logic across languages. Experience evaluating AI-generated code or participating in LLM tuning is a plus. Ability to communicate technical feedback clearly and constructively. Fluent in conversational and written English communication skills. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.

AI/ML Engineer / Data Scientist Company: Triumph Edge Innovations Pvt. Ltd. Location: Ernakulam , Kerala, India Job Type: Full-time, Part time About Triumph Edge: Triumph Edge is a leading Indian technology firm dedicated to providing cutting-edge AI-Powered Image Analysis (AI-PIA) solutions for India's defense sector. In alignment with the "Atmanirbhar Bharat" and "Make in India" initiatives, we are committed to building indigenously developed, state-of-the-art AI systems for Intelligence, Surveillance, and Reconnaissance (ISR). Our mission is to empower our armed forces with efficient, secure, and actionable intelligence, contributing directly to national security. Job Summary: As an AI/ML Engineer / Data Scientist at Triumph Edge, you will be an integral part of our R&D team, responsible for designing, developing, and deploying advanced AI-powered image analysis systems for defence applications. You will have a direct impact on building and optimizing models that can analyse large-scale visual datasets, detect threats, and enhance situational awareness. We are seeking individuals passionate about national security and capable of solving complex challenges using cutting-edge AI technologies. Key Responsibilities and Duties: AI/ML Model Development: Design, train, and evaluate state-of-the-art Deep Learning and Computer Vision models for critical defence requirements (e.g., object detection, classification, tracking, change detection, anomaly detection, facial recognition). Work extensively with various neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models. Continuously improve model performance, accuracy, and efficiency across diverse operational environments (e.g., varying lighting, weather conditions, terrain types). Explore and integrate Generative AI (GenAI) models where applicable for tasks like synthetic data generation or image enhancement. Data Engineering & Preprocessing: Collect, clean, label, and preprocess large-scale image and video datasets (including satellite imagery, drone footage, and ground sensor data). Develop and maintain robust data pipelines for efficient data ingestion, transformation, and preparation for AI model training and evaluation. Ensure the quality, integrity, and security of sensitive defense-related data. Algorithm Optimisation & Deployment: Optimize AI models for efficient deployment on resource-constrained edge devices (e.g., drones, ground sensors) and high-performance computing (HPC) environments for real-time inference. Implement techniques such as model compression, quantization, and inference optimization to enhance performance on target hardware. Monitor and maintain the performance of deployed AI models in production environments. Research and Innovation: Stay abreast of the latest research trends and advancements in Machine Learning, Deep Learning, and Computer Vision, particularly those relevant to the defense domain. Conduct experimental research and develop innovative solutions to address complex, real-world challenges in defense intelligence. Contribute to intellectual property generation, including patents and research publications. Team Collaboration: Collaborate effectively with cross-functional teams, including Software Engineers, Data Engineers, DevOps Engineers, and Defence Domain Experts, to integrate AI solutions into larger systems. Clearly communicate complex technical concepts, findings, and recommendations to both technical and non-technical stakeholders. Participate in code reviews, knowledge sharing sessions, and contribute to a collaborative R&D culture. Security & Compliance: Adhere to stringent cybersecurity protocols and secure coding practices for all AI model development and deployment. Ensure compliance with relevant Indian defense regulations and data security standards. Required Qualifications & Skills: Education: Master's degree (M.Tech/MS) or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field. Experience: [Specify preferred years of experience, e.g., 2+ years for Mid-level, 5+ years for Senior-level] of hands-on experience in AI/ML model development, specifically in Computer Vision. Proven experience in building and deploying Deep Learning models for real-world applications. Technical Proficiency: Programming Languages: Expert-level proficiency in Python, with extensive experience using scientific computing libraries (NumPy, Pandas, Scikit-learn). Proficiency in C++ is a significant advantage for high-performance applications. Deep Learning Frameworks: Strong hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch). Computer Vision Libraries/Techniques: In-depth knowledge and practical experience with OpenCV, and familiarity with various computer vision algorithms (e.g., object detection models like YOLO, Faster R-CNN; segmentation, tracking algorithms). Data Management: Experience with data cleaning, feature engineering, and working with large datasets. Familiarity with SQL and/or NoSQL databases is a plus. Cloud Platforms: Experience with cloud computing platforms (AWS, Azure, or GCP) for AI model training and deployment is desirable. Problem-Solving: Excellent analytical and problem-solving skills, with a strong ability to translate complex defence requirements into effective AI solutions. Learning Agility: Eagerness to learn new technologies, adapt to evolving research trends, and continuously improve technical skills. Communication: Strong verbal and written communication skills, capable of articulating technical concepts clearly. Preferred Qualifications (Bonus Points): Prior experience working on projects related to the defense sector, aerospace, or intelligence agencies. Familiarity with specific Indian defence regulations or standards. Experience with MLOps practices for deploying and managing AI models in production. Knowledge of explainable AI (XAI) techniques. Publications in top-tier AI/ML/Computer Vision conferences or journals. Experience with GPU optimisation (CUDA programming). Why Join Triumph Edge? Impactful Work: Contribute directly to strengthening India's national security and the "Atmanirbhar Bharat" initiative. Cutting-Edge Technology: Work on highly advanced AI and Deep Learning problems with real-world applications in defence. Innovation Culture: Be part of a dynamic R&D team that fosters creativity, continuous learning, and groundbreaking research. Growth Opportunities: Grow your career in a rapidly expanding sector with significant opportunities for professional development. Collaborative Environment: Work alongside brilliant minds, including experienced AI researchers, engineers, and defence domain experts. To Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in this role. Job Types: Part-time, Permanent, Internship, Contractual / Temporary, Freelance Contract length: 36 months Pay: ₹266,866.36 - ₹1,794,918.81 per year Expected hours: 30 per week Benefits: Cell phone reimbursement Work Location: In person

Senior LLVM GPU Compiler Engineer Hyderabad India Experienced Professional Posted 10 Jul 2025 502665 The role You will be part of a diverse and distributed team of engineers who maintain and develop our GPU compiler software, supporting a range of graphics and compute APIs while targeting multiple GPU generations with varying ISAs. The GPU compiler is a central part of the drivers that we develop for these APIs. As such, they are critical to achieving optimal runtime performance of graphics/compute workloads on our GPUs, through the production of optimal HW code with minimal compilation time. You will: Maintain and develop our GPU compilers, with a focus on the LLVM based middle-end Diagnose and resolve incorrect compilation from customer issues, QA or conformance testing Analyse code-quality/runtime performance and implement optimisations Add support for new/future GPU functionality to the compilers Add support for new/future API/input language features Identify/suggest changes to improve output quality or compilation time Provide technical insight and collaborate with others to constantly improve our GPU compilers About you Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard. You'll have: Advanced C++ programming skills Strong knowledge of and experience with LLVM, especially middle-end compiler. Experience with production-quality compiler development Strong compiler theory, especially optimisation Ability to analyse generated code down to the ISA level Computer architecture knowledge You might also have: Knowledge and experience with graphics/compute APIs such as OpenCL, cuda, Vulkan, OpenGL or DirectX Experience with compilation specifically for GPUs. Backend compiler development (especially LLVM) An appreciation of multi-threaded and/or parallel computation and associated complexity Knowledge of GPGPU programming Knowledge of AI/ML workloads that are amenable to GPU execution Who we are Imagination is a UK-based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. Its GPU and AI technologies enable outstanding power, performance, and area (PPA), fast time-to-market, and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their smartphones, cars, homes, and workplaces. We need your skills to help us continue to deliver technology that will impress the industry and our customers alike, ensuring that people everywhere can enjoy smarter and faster tech than ever before. So come join us if you're wanting that something more Bring your talent, curiosity and expertise and we’ll help you do the rest. You’ll be part of one of the world’s most exciting companies who are one of the leaders in semiconductor IP solutions. As a part of our team, you can help us transform, innovate, and inspire the lives of millions through our technology. Additional information If you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email recruitment@imgtec.com.

5 - 7 Years 1 Opening Bangalore Role description UST Title - Lead I - Semiconductor S/W Product Development Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at . Summary: UST is looking for…. Key Roles & Responsibilities: The candidate should possess 8 to 10 years of experience in the domain of PCIe. Complete understanding of the architectural and software interface is expected. Ability to program, debug and port codes related to data transfer methods in PCIe and memory like MMIO, DMA. Strong programming skills in C/C++ and scripting languages (Python, Bash, Windows PS). Crisp and clear understanding of system engineering relevant to data center requirements, especially involving accelerators. Skilled in using Windows and Linux based OS. Skilled with code revisioning system like Git. Ability to coordinate and work with geographically diverse teams. Knowledge of any acceleration framework like CUDA/ROCm is considered an advantage. Required Skills: • • 8 - 10 years of experience in the domain of PCIe. • • Programming skills - C/C++ • • Scripting languages (Python, Bash, Windows PS). Qualification: BTech in Computer Science 8+ Years of experience What we believe : We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion and to place people at the centre of everything we do. Humility: We will listen, learn, be empathetic and help selflessly in our interactions with everyone. Humanity: Through business, we will better the lives of those less fortunate than ourselves. Integrity: We honour our commitments and act with responsibility in all our relationships. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. To support and promote the values of UST. Comply with all Company policies and procedures Skills Pcie,Scripting,C++,Python About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

AI/ML Engineer / Data Scientist Company: Triumph Edge Innovations Pvt. Ltd. Location: Ernakulam , Kerala, India Job Type: Full-time, Part time About Triumph Edge: Triumph Edge is a leading Indian technology firm dedicated to providing cutting-edge AI-Powered Image Analysis (AI-PIA) solutions for India's defense sector. In alignment with the "Atmanirbhar Bharat" and "Make in India" initiatives, we are committed to building indigenously developed, state-of-the-art AI systems for Intelligence, Surveillance, and Reconnaissance (ISR). Our mission is to empower our armed forces with efficient, secure, and actionable intelligence, contributing directly to national security. Job Summary: As an AI/ML Engineer / Data Scientist at Triumph Edge, you will be an integral part of our R&D team, responsible for designing, developing, and deploying advanced AI-powered image analysis systems for defence applications. You will have a direct impact on building and optimizing models that can analyse large-scale visual datasets, detect threats, and enhance situational awareness. We are seeking individuals passionate about national security and capable of solving complex challenges using cutting-edge AI technologies. Key Responsibilities and Duties: AI/ML Model Development: Design, train, and evaluate state-of-the-art Deep Learning and Computer Vision models for critical defence requirements (e.g., object detection, classification, tracking, change detection, anomaly detection, facial recognition). Work extensively with various neural network architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models. Continuously improve model performance, accuracy, and efficiency across diverse operational environments (e.g., varying lighting, weather conditions, terrain types). Explore and integrate Generative AI (GenAI) models where applicable for tasks like synthetic data generation or image enhancement. Data Engineering & Preprocessing: Collect, clean, label, and preprocess large-scale image and video datasets (including satellite imagery, drone footage, and ground sensor data). Develop and maintain robust data pipelines for efficient data ingestion, transformation, and preparation for AI model training and evaluation. Ensure the quality, integrity, and security of sensitive defense-related data. Algorithm Optimisation & Deployment: Optimize AI models for efficient deployment on resource-constrained edge devices (e.g., drones, ground sensors) and high-performance computing (HPC) environments for real-time inference. Implement techniques such as model compression, quantization, and inference optimization to enhance performance on target hardware. Monitor and maintain the performance of deployed AI models in production environments. Research and Innovation: Stay abreast of the latest research trends and advancements in Machine Learning, Deep Learning, and Computer Vision, particularly those relevant to the defense domain. Conduct experimental research and develop innovative solutions to address complex, real-world challenges in defense intelligence. Contribute to intellectual property generation, including patents and research publications. Team Collaboration: Collaborate effectively with cross-functional teams, including Software Engineers, Data Engineers, DevOps Engineers, and Defence Domain Experts, to integrate AI solutions into larger systems. Clearly communicate complex technical concepts, findings, and recommendations to both technical and non-technical stakeholders. Participate in code reviews, knowledge sharing sessions, and contribute to a collaborative R&D culture. Security & Compliance: Adhere to stringent cybersecurity protocols and secure coding practices for all AI model development and deployment. Ensure compliance with relevant Indian defense regulations and data security standards. Required Qualifications & Skills: Education: Master's degree (M.Tech/MS) or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field. Experience: [Specify preferred years of experience, e.g., 2+ years for Mid-level, 5+ years for Senior-level] of hands-on experience in AI/ML model development, specifically in Computer Vision. Proven experience in building and deploying Deep Learning models for real-world applications. Technical Proficiency: Programming Languages: Expert-level proficiency in Python, with extensive experience using scientific computing libraries (NumPy, Pandas, Scikit-learn). Proficiency in C++ is a significant advantage for high-performance applications. Deep Learning Frameworks: Strong hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch). Computer Vision Libraries/Techniques: In-depth knowledge and practical experience with OpenCV, and familiarity with various computer vision algorithms (e.g., object detection models like YOLO, Faster R-CNN; segmentation, tracking algorithms). Data Management: Experience with data cleaning, feature engineering, and working with large datasets. Familiarity with SQL and/or NoSQL databases is a plus. Cloud Platforms: Experience with cloud computing platforms (AWS, Azure, or GCP) for AI model training and deployment is desirable. Problem-Solving: Excellent analytical and problem-solving skills, with a strong ability to translate complex defence requirements into effective AI solutions. Learning Agility: Eagerness to learn new technologies, adapt to evolving research trends, and continuously improve technical skills. Communication: Strong verbal and written communication skills, capable of articulating technical concepts clearly. Preferred Qualifications (Bonus Points): Prior experience working on projects related to the defense sector, aerospace, or intelligence agencies. Familiarity with specific Indian defence regulations or standards. Experience with MLOps practices for deploying and managing AI models in production. Knowledge of explainable AI (XAI) techniques. Publications in top-tier AI/ML/Computer Vision conferences or journals. Experience with GPU optimisation (CUDA programming). Why Join Triumph Edge? Impactful Work: Contribute directly to strengthening India's national security and the "Atmanirbhar Bharat" initiative. Cutting-Edge Technology: Work on highly advanced AI and Deep Learning problems with real-world applications in defence. Innovation Culture: Be part of a dynamic R&D team that fosters creativity, continuous learning, and groundbreaking research. Growth Opportunities: Grow your career in a rapidly expanding sector with significant opportunities for professional development. Collaborative Environment: Work alongside brilliant minds, including experienced AI researchers, engineers, and defence domain experts. To Apply: Interested candidates are invited to submit their resume and a cover letter detailing their relevant experience and interest in this role. Job Types: Part-time, Permanent, Internship, Contractual / Temporary, Freelance Contract length: 36 months Pay: ₹266,866.36 - ₹1,794,918.81 per year Expected hours: 30 per week Benefits: Cell phone reimbursement Work Location: In person

As an LLVM Compiler Intern at NVIDIA, you will have the exciting opportunity to work within our GPU Software organization. Join our Compiler team, responsible for constructing and emitting high-performance GPU machine instructions for Graphics and Compute applications. This team consists of leading compiler engineering experts who drive cutting-edge performance and capabilities for NVIDIA's current and future parallel SIMT architectures. Your responsibilities will include understanding, modifying, and enhancing NVIDIA's proprietary GPU compiler and assembler, which are written in C++. You will design and implement new compiler passes and optimizations to deliver top-notch, reliable, and maintainable compiler tools. Collaborate with global compiler, hardware, and application teams to drive enhancements and address challenges. Be an integral part of a team that focuses on deep-learning compiler technology, covering architecture design and functional languages. To excel in this role, you should be pursuing a B.S. or higher degree in Computer Science/Engineering with excellent hands-on C++ programming skills. A strong background in software engineering principles is essential, emphasizing the development of robust and maintainable solutions for complex problems. Effective communication, documentation skills, and self-motivation are key attributes for success. For those looking to stand out, a Masters or PhD with compiler code generation experience is preferred. Additional qualifications include experience in CUDA, DirectX, OpenGL/Vulkan applications, proficiency in performance and compile time analysis tools, and exposure to various machine learning techniques. Join NVIDIA, a renowned AI computing company known for pioneering GPU technology that has revolutionized modern computer graphics and parallel computing. If you are a creative and autonomous individual, we invite you to be part of our innovative team and contribute to shaping the future of technology with us.,

You should have a B.Tech, M.Tech, or higher degree in Computer Engineering, Computer Science, Electronics, Robotics Engineering, or related fields. Your written and verbal communication skills should be strong, and you should possess excellent problem-solving abilities. Proficiency in C++ for robotics and machine perception, along with knowledge in data structures and algorithms, is required. Extensive experience with OpenCV, PCL, and ROS2 is essential. You should be well-versed in Modern C++ with a deep understanding of features like RAII, STL, templates, etc. Experience in implementing Deep Learning Algorithms on GPU cluster for tasks like object detection and segmentation is necessary. Familiarity with Unix/Linux environments is a must, and you should be capable of developing software for real-time processing of sensor data from cameras, LIDAR, and other sensors. Your responsibilities will include building robust solutions to cutting-edge Autonomous driving problems and developing advanced algorithms for tasks like object detection, tracking, multi-task learning, distributed training, and multi-sensor fusion. Experience with developing production-ready software is a plus, along with maintaining large-scale libraries and working with parallel computing libraries like TBB and CUDA. Additional desirable qualifications include familiarity with linear algebra libraries such as Eigen, machine learning, software version management tools like Git, and agile development workflows and CI/CD processes.,

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Job Title: Senior Generative AI Developer/Team Lead Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Lead and deliver large-scale AI/Gen AI projects across multiple industries and domains. Liaison with on-site and client teams to understand various business problem statements and project requirements. Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation. Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices. Assist and participate in pre-sales, client pursuits and proposals. Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members. Qualifications: 6-10 years of relevant experience in Generative AI, Deep Learning, or NLP Bachelor’s or master’s degree in a quantitative field. Led a 3–5-member team on multiple end to end AI/GenAI projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components. Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303629

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Job Title: Senior Generative AI Developer/Team Lead Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Lead and deliver large-scale AI/Gen AI projects across multiple industries and domains. Liaison with on-site and client teams to understand various business problem statements and project requirements. Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation. Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices. Assist and participate in pre-sales, client pursuits and proposals. Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members. Qualifications: 6-10 years of relevant experience in Generative AI, Deep Learning, or NLP Bachelor’s or master’s degree in a quantitative field. Led a 3–5-member team on multiple end to end AI/GenAI projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components. Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303629

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Job Title: Senior Generative AI Developer/Team Lead Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Lead and deliver large-scale AI/Gen AI projects across multiple industries and domains. Liaison with on-site and client teams to understand various business problem statements and project requirements. Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation. Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices. Assist and participate in pre-sales, client pursuits and proposals. Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members. Qualifications: 6-10 years of relevant experience in Generative AI, Deep Learning, or NLP Bachelor’s or master’s degree in a quantitative field. Led a 3–5-member team on multiple end to end AI/GenAI projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components. Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303629

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Job Title: Senior Generative AI Developer/Team Lead Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Lead and deliver large-scale AI/Gen AI projects across multiple industries and domains. Liaison with on-site and client teams to understand various business problem statements and project requirements. Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation. Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices. Assist and participate in pre-sales, client pursuits and proposals. Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members. Qualifications: 6-10 years of relevant experience in Generative AI, Deep Learning, or NLP Bachelor’s or master’s degree in a quantitative field. Led a 3–5-member team on multiple end to end AI/GenAI projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components. Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303629

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Job Title: Senior Generative AI Developer/Team Lead Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Lead and deliver large-scale AI/Gen AI projects across multiple industries and domains. Liaison with on-site and client teams to understand various business problem statements and project requirements. Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation. Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices. Assist and participate in pre-sales, client pursuits and proposals. Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members. Qualifications: 6-10 years of relevant experience in Generative AI, Deep Learning, or NLP Bachelor’s or master’s degree in a quantitative field. Led a 3–5-member team on multiple end to end AI/GenAI projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components. Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303629

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms. Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions. Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements. Job Title: Senior Generative AI Developer/Team Lead Job Summary: We are looking for a Generative AI Team Lead with hands-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: Lead and deliver large-scale AI/Gen AI projects across multiple industries and domains. Liaison with on-site and client teams to understand various business problem statements and project requirements. Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data & AI professionals to deliver projects from inception to implementation. Brainstorm, build & improve AI/Gen AI models developed by the team & identify scope for model improvements & best practices. Assist and participate in pre-sales, client pursuits and proposals. Drive a human-led culture of Inclusion & Diversity by caring deeply for all team members. Qualifications: 6-10 years of relevant experience in Generative AI, Deep Learning, or NLP Bachelor’s or master’s degree in a quantitative field. Led a 3–5-member team on multiple end to end AI/GenAI projects Excellent communication and client/stakeholder management skills Must have strong hands-on experience with programming languages like Python, Cuda and SQL, and frameworks such as TensorFlow, PyTorch and Keras Hands-on experience with top LLM models like OpenAI GPT-3.5/4, Google Gemini, AWS Bedrock, LLaMA 3.0, and Mistral, along with RAG and Agentic workflows Well versed with GANs and Transformer architecture, knows about Diffusion models, up to date with new research/progress in the field of Gen AI Should follow research papers, comprehend and innovate/present the best approaches/solutions related to Generative AI components. Knowledge of hyperscaler offerings (NVIDIA, AWS, Azure, GCP, Oracle) and Gen AI tools (Copilot, Vertex AI). Knowledge of Vector DB, Neo4J/relevant Graph DBs Familiar with Docker containerization, GIT, etc. AI/Cloud certification from a premier institute is preferred. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303629