Search Results: 76 vacancies
...experience in developing and implementing AI models, with a deep understanding of advanced deep learning techniques, including GPT, VAE, GANs, and seamless integration with the Langchain framework. Proficiency in utilising generative models for diverse tasks, ranging from...
...- NLP or Computer vision or ML or AI.
- Familiarity with various generative AI models, such as generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer models, is important to understand their strengths, limitations, and use cases....
...processing of Indic languages, BERT models, and LLMs will be an added advantage.- 5 years of hands-on experience in deep learning models for computer vision problems.- Experience in the following areas: image processing, GANS, and face/object detection algorithms. (ref:hirist.tech)
? Design and develop generative Al models and algorithms using state-of-the-art techniques such as GPT, VAE, and GANs
? Manage project infrastructure and the development of AI models and projects
? Lead the development of generative Al solutions from concept to production...
...architecture, and methodologies.
Lead and contribute to the research and development of advanced generative AI models, including GANs, VAEs, autoregressive models, and novel architectures.
Lead the development and deployment of generative AI models, frameworks, and...
...particularly in Generative AI.
• Deep understanding of Generative AI techniques and algorithms, including generative adversarial networks (GANs), variational autoencoders (VAEs), and deep reinforcement learning (DRL).
• Strong analytical and problem-solving skills, with the...
...computer vision tasks, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
~ Familiarity with image processing techniques, feature extraction, and image analysis algorithms.
~ Strong problem-solving...
...learning techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs).
- Collaborate with cross-functional teams to integrate computer vision solutions into larger AI systems, including chatbots and...
...disease area.
Practical knowledge of statistics, statistical inference, and machine learning algorithms (deep learning, LSTM, SVM, CNN, GAN, and reinforcement learning)
Hands-on experience and proficiency in SQL, Python, python, pandas, scikit-learn, numpy, scipy, R,...
...foundational knowledge on working with statistical modeling techniques and deep learning fundamentals, such as CNN, RNN, Transformers, GANs, etc. including sequence networks eg LSTMs
~ Proficiency in Python or C++, with hands-on experience in using ML frameworks such as Tensorflow...
...foundation models
~ Proven experience with GenAI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs) and transformer-based models
~ Proven experience successfully developing and deploying ML algorithms, statistical analysis, and data...
...modules in CMOS and Smart PowerTechnologies, with a particular focus on achieving high-efficiency power conversion for applications using GaN devices;
~ Design and verify pre-silicon analog/mixed-signal integrated circuit blocks, including incorporating features for...
...solutions for NLP involving LLM (Large Language Models) such as GPT, Flacon, and LLaMA among others, or for Computer Vision involving GANs, Diffusion models etc.- Create and deploy end-to-end model pipeline in cloud infrastructure such as AWS, Azure, and GCP.- Implement customized...
...understanding of Word2vec, RNNs, Transformers, Bert, Resnet, MobileNet, Unet, Mask-RCNN, Siamese Networks, GradCam, image augmentation techniques, GAN, Tensorboard
• Ability to provide accurate estimates for tasks and detailed breakdowns for planning and managing sprints
•...
...topologies (AC-DC, Inverter, Isolated and non-isolated DC-DC, LDO), magnetics, control theory, and discrete power devices (MOSFETs, IGBTs, GaN) to optimize designs for efficiency, electrical performance, solution scalability & modularity, BoM size & cost, and manufacturability....
...related field.3-5 years of experience building predictive models, demonstrating expertise in :- Deep learning techniques (CNNs, RNNs, GANs)- Traditional machine learning/statistical methods (logistic regression, SVMs, random forests)- Up-to-date knowledge of advancements in...
...Designing, developing, and implementing generative AI models and algorithms
utilizing state-of-the-art techniques such as GPT, VAE, and GANs.
Collaborating with cross-functional teams to define AI project requirements
and objectives, ensuring alignment with overall...
...analysis.
Machine Learning: In-depth understanding of ML algorithms and metrics, with hands-on experience in Gen AI technologies such as GANs, OpenAI, Dall-E, Stable Diffusion, and Langchain
Implementation Experience: At least one substantial project involving Gen AI...
...networks using Tensorflow or Pytorch framework for NLP use cases. Good to have an in-depth understanding of generative models such as GANs, VAEs, and autoregressive models. Must be B.E. / B.Tech / MCA (computer science background)
Why consider Novartis?
Our purpose is...
...features to support client business processes.
• You'll design and build generative models, selecting the most suitable architecture (e.g., GANs, VAEs) based on the desired output (text, images, code). This involves writing code using Python libraries like TensorFlow or PyTorch....
