2.0 - 6.0 years

0 Lacs

jaipur, rajasthan

On-site

As a candidate for this position, you should hold a Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a strong knowledge base in AI and machine learning technologies. You must have a minimum of 3 years of practical experience in the development and implementation of AI models, focusing on GPU-accelerated computing and LLMs. Your expertise should encompass various AI and machine learning technologies, including but not limited to TensorFlow, PyTorch, CUDA, and machine learning libraries optimized for GPU. A solid background in NLP, computer vision, predictive analytics, and other AI disciplines that enhance user experience and business intelligence is essential for this role. In addition to technical skills, you should possess exceptional leadership and communication abilities to effectively collaborate with team members and stakeholders. This is a full-time, permanent position with a day shift from Monday to Friday. Preferred experience includes a total of 2 years in the field, specifically with GenAI, ChatBots, RAG, GPU, and LLM. The work location is in person.,

Posted 23 hours ago

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Cisco Datacenter Engineer Rexus Group

15.0 - 19.0 years

0 Lacs

maharashtra

On-site

As a Cisco Datacenter Engineer with expertise in HPC, AI/ML, and DevOps, you will play a crucial role in designing and optimizing high-performance computing environments, particularly tailored for AI/ML workloads. Your responsibilities will encompass managing HPC infrastructure, overseeing Cisco datacenter operations, configuring routing and switching systems, ensuring network security, optimizing Infiniband networking, and deploying Nvidia AI Enterprise software within enterprise environments. You will collaborate with DevOps teams to integrate automation and containerization technologies into HPC setups, monitor system performance, maintain documentation, and provide advanced technical support. With over 15 years of experience in HPC infrastructure design and management, you will leverage your extensive knowledge of Nvidia DGX systems, Infiniband networking, and Nvidia AI Enterprise software. Your technical proficiency in AI/ML workflows, GPU-accelerated computing, containerization technologies, and Cisco networking will be instrumental in ensuring the efficiency and security of HPC environments. Additionally, your scripting and automation skills using tools like Python and Ansible will aid in optimizing operations. Preferred qualifications for this role include certification in Nvidia AI Enterprise or similar HPC-related certifications, experience in hybrid or multi-cloud environments, and a background in R&D or enterprise AI settings where cutting-edge AI/ML solutions were developed and deployed. By working closely with AI/ML experts, network architects, and security engineers, you will deliver integrated solutions that align with both business and technical requirements, ensuring minimal downtime and optimal performance of HPC and network systems.,

Posted 1 month ago

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