Average salary: Rs975,000 /yearly
More statsSearch Results: 35 vacancies
...0+ YearsJob Type : Full-TimeJob Brief :Join one of our esteemed client's global team of talented individuals in crafting cutting-edge neural network systems. As a Software Engineer, you will play a vital role in developing application and system software for revolutionary AI...
.../ICAR/ICMR/IIT/IISc/IISER/NISER etc. with 2-years post qualification experience.
Required Skills:
· Experience in AI (deep learning/neural networks) and machine learning, preferably in the healthcare domain.
· Strong programming skills in Python, and familiarity with AI frameworks...
Mahindra University
Hyderabad
1 day ago
...record of developing CV models for industrial applications using PyTorch, TensorFlow, OpenCV
~ Deep understanding of ML algorithms, neural network architectures, and data modeling techniques
~ Hands-on experience with AWS AI/ML and data services like SageMaker, EC2, ECS,...
...Company Description Neural Foundry is a company that was founded in London with a dedicated technical team in Hyderabad. We design and create intelligent robots using adaptive AI and thoughtful UI/UX. We are dedicated to bringing intelligence to practical, user-friendly hardware...
...implement machine learning algorithms and models. Your day-to-day tasks will involve working on pattern recognition, computer science, neural networks, statistics, and algorithms. You will collaborate with cross-functional teams to integrate machine learning capabilities into...
...Neural Foundry, headquartered in London, UK, is a pioneering company in the fields of robotics, artificial intelligence, and embedded systems. Our Hyderabad office serves as a crucial center for innovation and collaboration, where we are dedicated to pushing the boundaries...
...Requirements
Bachelor's or Master's in Computer Science, AI, Machine Learning (ML), or related field.
Strong understanding of ML and neural network(NN) concepts. Should be able to train, validate, and test NN models.
Proficiency in Python, ML frameworks (e.g., Tensor...
...experience in techniques from time-series forecasting and/or causal inference. Experience with Experiment Design, Natural Language Processing, Neural Network architectures, Recommendation Systems, and Large Language Models is highly desirable.
* Expert in end to end data...
Rs 8 - 15 lakhs p.a.
...not looking for Data Scientists type of profiles; want people with core experience in ML with NLP / CV / LLM / GEN AI / Deep Learning / Neural Networks, etc
The interview process will entail round 1 of a deep dive into the technical understanding of ML core concepts. If...
...Large Language Models
Stay abreast of the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training.
Lead MLOps, automating ML pipeline, including the training, testing, deployment, monitoring, and scaling of AI...
...Android Application development for integrating the AI models using SDKs like Android Studio, Flutter.
Understanding of the Snapdragon Neural Processing Engine (SNPE), QNN frameworks is an additional advantage.
Decent understanding of Android Multimedia framework, Vulkan,...
...syncing.
Responsibilities:
Work with large video datasets to develop and implement machine learning models.
Optimize and debug neural networks for efficient performance.
Scale up training processes to handle large datasets effectively.
Process and preprocess...
...signal processing and image processing.
Solid experience in histo(patho)logy image analysis including applications of convolutional neural networks.
Desirable Requirement:
Practical experience in one or more field-relevant programming languages such as Python, C/...
...years of experience in computer vision
Frameworks: keras, TensorFlow, pytorch, NLTK
Programming: python, C++, OpenCV, pandas
Neural Network Architectures: VGG, ResNet, Inception, and Efficient Net
Deployment: Deployed the pipeline end to end on an AWS instance along...
...Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest...
...and deep learning frameworks such as TensorFlow, PyTorch, scikit-learn or Keras. This includes regression, classification, clustering, neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), etc.Skills in data manipulation, preprocessing, and...
...powerful AI Powered user identification system which is built on artificial intelligence technologies such as image recognition, deep neural networks, and robotic process automation. (No more touching keys, badges or fingerprint scanners ever again!)
Some videos you wanna...
...for deploymentProper implementation of machine learning algorithms. Best selection criteria of suitable model such as decision tree, neural net, or an ensemble of multiple modelsProbability and statistics and machine learning concepts such as precision, recall, optimization...
...Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc.,
Knowledge on LLMs-Open AIGPT, Llama Index etc.
Knowledge of ML Ops deployment, process tools & strategy (ML Flow,...
...inference of ML models using ML frameworks like Pytorch, Tensorflow, etc.- Excellent programming skills in Python, C/C++- Good Knowledge on neural network workings.- Good Knowledge of mathematical computations/workings of the most commonly used neural network layers.- Familiarity...
