Average salary: Rs419,998 /yearly
More statsSearch Results: 23 vacancies
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- Successful project experience with two or more of the following- regression, decision trees, random forests, Bayesian methods, neural networks , deep learning, support vector machines, associative rules methods, k-nearest neighbor, or NLP or text analytics
- Strong...
...good problem-solving skills and knowledge of machine learning
techniques for solving a range of problems.
Possess knowledge of neural network programs and natural language
processing.
Write programs and algorithms to extract insights from large data sets.
6...
...analytics
Successful project experience with two or more of the following: regression, decision trees / random forests, Bayesian methods, neural networks / deep learning, support vector machines, associative rules methods, k-nearest neighbor, or NLP / text analytics
Two or...
...and working with Pytorch.- A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms.- Proficiency in AI technology, Python, including experience with...
...experience in machine learning and/or data science.
Expert knowledge in machine learning algorithms and processes (such as xgboost, neural networks, hyperparameter tuning, clustering, graph algorithms)
Experience in modern language models (e.g. Transformers) with a...
...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...
...sources, i.e., historical data, financial data, and legal documents
Develop appropriate statistical and machine learning models (e.g., neural networks and deep learning, among others)
Develop prototype models to conduct various test and validation exercises.
Validate...
...analysis, named entity recognition, and other NLP tasks.- Utilize Deep Learning frameworks such as TensorFlow or PyTorch to build and train neural network models for various data science applications.- Collaborate with cross-functional teams to understand business requirements and...
...experience with a wide array of machine learning techniques, including but not limited to clustering, decision tree learning, and artificial neural networks, and an understanding of their real-world advantages and limitations.
~ Deep knowledge of advanced statistical techniques...
...silicon-on-chip design. Originating from multiple years of research, our unique AI hardware & software co-exploration engine and Dynamic Neural Accelerator TM AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware...
...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...
...Requirements :- 3+ Years of experience in machine learning and AI analytics.- Expert knowledge in Python, R, Anaconda, Ai, ML, Deep Learning, Neural networks, NLP.- Manufacturing domain - predictive and online quality analytics - experience would be preferred.- Knowledge in machine...
...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...
...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, AWS...
...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,...
...Software Engineer specializing in drivers. You'll be at the forefront of cutting-edge technology, architecting and developing drivers for a neural network processor. Your role will involve collaborating closely with various teams to ensure seamless integration and optimal...
...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...
...Work effectively with large video datasets.
Build and implement machine learning models for video tasks.
Optimize and debug neural networks for efficient performance.
Scale up training processes to handle large datasets.
Ensure data quality and relevance through...
...machine learning models and algorithms, conducting experiments to evaluate model performance, implementing algorithms, and designing neural networks. Additionally, the AI Engineer will be responsible for researching and implementing natural language processing (NLP) techniques...
...Qualifications :Strong analytical and quantitative skills.Experience with video/multimedia/image processing software development.Exposure to Neural Networks, AI/ML/DL models, and training frameworks like TensorFlow, Caffe, and PyTorch.Familiarity with Driver development in Linux,...
