4 Ml Framework Jobs

THE ROLE AMD is looking for a talented, self-driven and motivated engineer to technically lead AIG s Vitis AI Compiler projects working on AMD s XDNA (AI Engine) architecture and the Vitis AI family of software tools. The XDNA is an industry leading NPU (Neural Processing Engine) architecture in terms of performance per watt and is used in AMD s client and embedded devices as the primary engine for Machine Learning workloads. It is the hardware engine behind Windows Co-pilot on AMD devices. The team provides a fast-paced environment offering each of its members immense opportunity to interact with a wide variety of people including from other organizations like hardware designers, marketing, support, and even direct customer interaction, and truly learn and grow their skills and capabilities. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated technical issues to resolution. They should have demonstrated ability to identify technical problems, explore and propose viable options, and apply technical solutions. They should be able to excel in a global team environment with strong verbal and written communication skills. KEY RESPONSIBILITIES: Vitis AI is AMD s primary SDK that enables users to compile and run their ML models on the XDNA architecture which forms the basis for AMD s. As a senior member of this high-performance team, the selected candidate will have the opportunity to work on integrating the ML tool chain into frameworks like ONNX, Pytorch, TensorFlow etc. Candidate will have opportunity to work on orchestrating the compilation of ML model through different phases Candidate will integrate runtime execution of ML model on the NPU hardware through the runtime and driver. Candidate will collaborate with compiler and runtime teams to bring up latest AI models like CNNs, Transformers, Stable Diffusion, NLPs etc. on the XDNA simulator. Candidates would develop a deeper understanding of the various ML models, and how they are executed, identify performance bottlenecks and enable faster development. PREFERRED EXPERIENCE: Minimum 10 years of relevant work experience. Strong background in large scale based development and debug, including Design Patterns Experience with multi-threaded programming infrastructure and performance optimization Experience in the software development environment on both Linux and Windows is required. Experience in any one of the ML Framework like ONNX, Pytorch etc is strongly desired. Experience with scalable builds and code versioning through github, docker, CMake, artifactory is highly desired. ACADEMIC CREDENTIALS: Bachelor s or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

As an AI/ML Engineer at Left Right Mind, you will be part of our dynamic team working on cutting-edge GenAI solutions and deploying large language models (LLMs) for real-world applications. Your primary responsibilities will include developing and deploying AI/ML models to address business challenges, optimizing LLMs for specific domains, and building end-to-end ML pipelines encompassing data preprocessing, training, and evaluation. Additionally, you will work with both structured and unstructured data to extract valuable insights and collaborate closely with engineers to bring models into production effectively. We expect you to stay abreast of the latest advancements in GenAI, RAG, and LLM research, leveraging tools such as LangGraph, Autogen, TensorFlow, and PyTorch. Experience with deploying solutions on cloud platforms like AWS, Azure, or GCP using Docker/Kubernetes will be beneficial. The ideal candidate should possess a minimum of 4 years of experience in AI/ML, demonstrate proficiency in Python programming and ML frameworks, and have hands-on experience with LLMs like OpenAI GPT, Gemini, or Claude. Moreover, familiarity with NLP, feature engineering, and model optimization, along with strong problem-solving and teamwork skills, are highly valued traits in this role. At Left Right Mind, we foster a culture of exploration, inquiry, and innovation. Our work is purpose-driven and fueled by curiosity. If you are passionate about pushing the boundaries of AI/ML and eager to contribute to impactful projects, we encourage you to apply by filling out the form: [Application Form](https://lnkd.in/dtdBVTHE). For any inquiries or additional information, feel free to contact varad.deshpande@leftrightmind.com.,

Job Description: Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML.

Expertise in embedded systems Expertise in ML applications related to audio or voice Expertise in C Programming Expertise in RTOS (FreeRTOS) & Board bring-up Expertise in DSP / ISP Expertise in low power optimization Expertise in ML model porting & real-time optimization Expertise in debugging multicore applications & NPU Expertise in ML frameworks: Tensorflow Lite Micro, PyTorch Expertise in Linker scripts : GCC, IAR, ARM Preferred resources with valid regional work permit Location : - Belgrade, Penang, New York,Bengaluru