8 Knowledge Distillation Jobs

Role Overview: As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that utilize Computer Vision and Generative AI techniques. Your main focus will be on building and enhancing AI systems to address real-world challenges and contribute to the innovation of products and services. Key Responsibilities: - Utilize machine learning frameworks like TensorFlow, PyTorch, Keras, or similar to develop models - Implement Computer Vision techniques including image classification, object detection, segmentation, and tracking - Work with Generative AI models such as GANs, VAEs, and other deep learning-based generative models - Utilize com...

As a successful candidate for the role, you should possess the following attributes: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study. - Preferably 7+ years AI/ML industry experience for Bachelors/Masters, 4+ years for PhD with a focus on Language Models. - Strong foundation in machine learning algorithms, including deep learning architectures (e.g., transformers, RNNs, CNNs). - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn. - Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), model fin...

Responsibilities : Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms. Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy. Model Optimization: Perform extensive model optimization techniques, including pruning, quantization (post-training and QAT), and network architecture search, to achieve desired latency, power, and memory targets. Runtime Integration: Integrate optimized deep learning models with embedded runtime environments and hardware accelerators. Perfor...

About Us - Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI). Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry. Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses. We are also building Beam AI, an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI. Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency. Trusted by top US and C...

As a potential candidate for this position, you will be responsible for contributing to cutting-edge AI/ML solutions at Goldman Sachs. Here is a breakdown of the qualifications and attributes you should possess: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a related field is required. - Preferably 7+ years of AI/ML industry experience for Bachelors/Masters, 4+ years for PhD, with a focus on Language Models. - Strong foundation in machine learning algorithms, including deep learning architectures like transformers, RNNs, CNNs. - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, sciki...

If you are a smart, self-motivated Machine Learning Scientist with a passion for advancing the field of Generative AI, an excellent opportunity awaits you. EXL, a rapidly expanding global digital data-led AI transformation solutions company, is seeking candidates with deep expertise in developing and fine-tuning Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic solutions, and knowledge graph technologies to drive innovative solutions in Generative AI. You will have the chance to be at the forefront of pioneering advancements in AI, working alongside bright minds in an exciting R&D environment to build cutting-edge capabilities that redefine the future of artificial ...

You are a Senior or Staff AI Scientist responsible for leading the development of domain-specific business ontologies and knowledge engineering infrastructure. Your expertise will be utilized to leverage cutting-edge LLMs, GenAI, and symbolic reasoning to establish an ontology layer, which will serve as the cornerstone of the data platform. This initiative aims to facilitate intelligent data harmonization, enrichment, and decision automation at a large scale. Your key responsibilities will involve spearheading the research and development of ontology learning systems by leveraging state-of-the-art LLMs, structured data mining, and semantic reasoning techniques. You will be tasked with constr...

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI...