ML engineer (speech recognition)
Bright Pattern makes software that helps businesses communicate with their customers in a more enjoyable and efficient way over phone, SMS, email, web chat, video and a number of messaging apps such as WhatApp, Telegram, Facebook Messenger. We help businesses to organize work, automate frequent responses and stay in context of the customer inquiries from contact to contact, irrespective of the contact channel.
Our software is provided over the Internet as a service. We handle millions of our customers' conversations daily across the globe.
The platform leverages AI-powered tools for automation, predictive routing, and analytics, helping businesses improve efficiency and customer satisfaction, while driving the costs down. Known for its simplicity and quick deployment, Bright Pattern is ideal for organizations looking to streamline customer interactions and optimize customer service performance across industries like retail, healthcare, and finance.
JOB REQUIREMENTS:
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High level of Python knowledge and expertise.
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Strong Knowledge of other programming languages such as C++ and Go.
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Familiarity with the modern ML stack (at least some of those mentioned), including PyTorch, ONNX, PyTest, and OpenVINO.
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English language for documentation reading.
NICE TO HAVE:
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It would be beneficial if you have knowledge in the following areas:
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Mathematical analysis, linear algebra, mathematical statistics, probability theory, dynamic programming, and numerical methods.
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Understanding of machine learning algorithms related to speech analysis, including their design, underlying principles, and how to customize them for specific problems.
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Understanding of speech processing theory and voice physics.
Experience with audio libraries such as Librosa, TorchAudio, and FFmpeg. -
Understanding of vector search, possibly experience with FAISS or similar
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Some knowledge of well-known ASR libraries and systems, such as Kaldi, NVIDIA Nemo, ESPnet, Whisper, and Vosk.
RESPONSIBILITIES:
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Enhancement of speech-to-text/text and human identification models
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Building, Maintaining and enhancing the production AI solutions architecture
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Focus on applied machine learning rather than fundamental research.
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Collaborate with other engineers to combine and improve existing results.
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This project is just the beginning, as there are several more projects and activities in the pipeline.
WHAT WE OFFER:
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Participation in the development of Cutting Edge AI Driven technology solutions with real users.
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Opportunity to work and collaborate with a high-level engineering team that offers valuable learning experiences.
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Flexible schedule, allowing for remote work.
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Possibility of relocation to California on an L1 or H1B visa.
If you believe you have the skills and experience we're looking for, we would love to hear from you. Apply today to join our team of exceptional engineers!
Обслуживать клиентов: работать со счетами, пластиковыми картами и денежными переводами. Продавать банковские и страховые продукты (кредитные продукты, карты, вклады).
Обслуживать клиентов: работать со счетами, пластиковыми картами и денежными переводами. Продавать банковские и страховые продукты (кредитные продукты, карты, вклады).