A degree in Computer Science, Data Science, Machine Learning, or a related field is preferred; advanced degrees are a plus.
Expertise in creating novel algorithms, especially for handling noisy input data in the NLU/ASR domain.
At least 5 years of proven experience designing and implementing data pipelines for large-scale data processing and analysis using Python.
Proficiency in Python and familiarity with frameworks like TensorFlow, PyTorch, or similar.
Requirements:
Create pipelines to process and analyze vast data sources and develop tools to uncover and visualize patterns hidden in the data.
Drive data-driven decision-making by leveraging data analytics and visualization tools.
Develop scalable AI/ML pipelines for training SOTA/NLU models and participate in the development of novel algorithms for NLU/ASR, focusing on noisy input.
Analyze and improve AI model performance and own major parts of the NLU/ASR technology that are used in production.
Job description
This is a remote position.
Our main product is innovative, conversational voice-based AI for the hospitality industry. A thorough understanding of drive-through voice orders requires deep technical knowledge. To tackle this big challenge, we're building our own Speech Recognition and Natural Language Understanding stack from the ground up In This Role You Will:
Create pipelines to process and analyze our vast data sources. Create tools to uncover and visualize the patterns hidden in the data. Drive data-driven decision-making by leveraging data analytics and visualization tools. Develop scalable AI/ML pipelines for training SOTA/NLU models Participate in the development of novel algorithms for specific problems in our NLU / ASR domain, focusing on noisy input. Analyze and improve AI model performance. Own major parts of the NLU / ASR tech that are directly used in production.
Requirements
A degree in Computer Science, Data Science, Machine Learning, or a related field is preferred. Advanced degrees are a plus.
Expertise in creating novel algorithms, especially for handling noisy input data in the NLU/ASR domain.
At least 5 years of proven experience in designing and implementing data pipelines for large-scale data processing and analysis using Python.
Proficiency in programming languages commonly used in AI/ML, such as Python, and familiarity with frameworks like TensorFlow, PyTorch, or similar.
Knowledge of probability and statistics, design, data structures, and algorithms
Excelling at problem-solving with an adaptable and versatile startup mindset
Industry experience with GIT
Bonus
Dialogue Systems Experience
Experience with Cloud infrastructures
Training NLU / ASR models
Benefits
-Work remotely from anywhere (CEE countries time zone)
- Attractive salary package
- 20 days of paid time off, plus national holidays and sick leave coverage
- Flexible working hours
- Opportunity to work with cutting-edge technology
