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We are actively seeking a talented individual to join our team as a Machine Learning and Signal Processing Engineer. As part of our expanding business in signal processing solutions, you will play a crucial role in supporting consultant models and collaborating with potential companies in the Organizers sector. This position offers an exciting opportunity to work across multiple units and departments, contributing to cutting-edge projects in data analysis and signal processing.

Responsibilities:

Signal Processing Expertise:

Work on sound source and location, audition audio, videos, and signal communications.
Visualize datasets, handle crashed datasets, and perform preprocessing tasks.
Possess a strong foundation in signal processing and statistical machine learning.
Advanced Technical Skills:

Apply Bayesian Inference and probabilistic graphical models in signal processing.
Familiarity with frameworks such as Caffe, PyTorch, TensorFlow, etc.
Understand and implement evaluation methods in machine learning.
Natural Language Processing:

Proficiency in various NLP techniques, including word embedding, Word2Vec, parts-of-speech tagging, N-gram, language model, machine translation, and attention mechanisms.
Intent in natural language understanding.
Deep Learning and Neural Networks:

Experience with GRU, RNN, LSTM, HMM, optimization, attention, and regularization problems.
Familiarity with deep learning architectures such as ResNet, AlexNet, etc.
Computational Expertise:

Knowledge of CPU/GPU/TPU computing and distributed/parallel computation.
Understanding of large language models.
Diverse Learning Paradigms:

Expertise in supervised learning, unsupervised learning, auto-machine learning, reinforcement learning, meta-learning, multi-task learning, graph neural networks, federated learning, etc.
AI and Cognitive Science:

Apply artificial intelligence by incorporating reasoning, multiple agents, knowledge-based systems, and human interactions.
Strong understanding of cognitive science and systems.
Communication and Visualization:

Excellent English and communication skills.
Experience working with Power BI and data visualization tools.
Programming Skills:

Proficient in Python or C++ programming.
Familiarity with advanced SQL queries.
Critical Thinking:

Ability for critical thinking and decision-making.
Requirements:

Candidates or students from engineering and sciences programs or related fields with a focus on signal processing.
Hands-on experience with data set visualization, preprocessing, and crash handling.
Familiarity with machine learning fundamentals and statistical techniques.
Knowledge of specific frameworks such as Caffe, PyTorch, TensorFlow, etc.
Understanding of NLP techniques, deep learning architectures, and computational models.
Experience working on AI projects, applying reasoning, and dealing with human interactions.
Strong understanding of cognitive science and systems.
Excellent English and communication skills.
Proficiency in Power BI and data visualization tools.
Familiarity with Python or C++ programming and advanced SQL queries.
Critical thinking and decision-making skills.
If you are passionate about machine learning, signal processing, and cutting-edge technologies, we invite you to join our dynamic team and contribute to our exciting projects. Apply now to be a part of our innovative journey!

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