ML Engineer with DSP knowledge for BRYTE product (offline)
Requirements:
β At least 3-5 years of experience working as a Machine Learning and/or DSP Engineer (or equivalent role) with a significant level of autonomy, including experience developing, deploying, and supporting production-grade models
β Strong experience with DSP (audio, video, but biomedical applications and/or experience with physiological signals would be preferred) and/or time series analysis (financial, industrial, and other fields)
β Background in math, statistics, algorithms, and data structures
β Proficiency with Python
β Experience with relevant libraries and frameworks: numpy, scipy, scikit-learn, PyTorch/TensorFlow, Pandas (including deployment tools: TensorFlow Serving / TorchScript)
β Experience with AWS ecosystem
β Desirable: experience implementing models that need to perform inference on resource-constrained devices with low latency (mobile, low-power computers like Raspberry Pi, etc.)
β Upper-Intermediate English level
Nice to have:
β MS or Ph.D. degree in machine learning, data science, statistics, applied math, computer science, or other relevant fields (or equivalent experience)
Responsibilities:
β Work with the data scientists and domain experts to analyze the data and build machine learning models
β Design and implement the pipeline for model training, validation, deployment, and experimentation
β Implement production-ready machine learning models that are reliable, resilient, efficient, and satisfy resource constraints
β Implement digital signal processing (DSP) techniques to pre-process, clean, enrich, and otherwise prepare raw signals for further analysis and model training
We offer multiple benefits, such as:
β Challenging work in an international and professional environment
β Mastering the English language with a native speaker
β 40-hour working week with flexible working hours
β Flexible WFH policy
β Competitive salary
β PE accounting and support
β 20 paid vacation days per year
β 14 paid sick leave days per year
β Medical insurance
β Annual 250$ deposit for attending external events (conferences, workshops, etc.)
β Long-term employment and real opportunities to change roles and projects within the company
β Yoga classes, workout corner
β Collaborative and friendly team environment
β Cozy, fully equipped office space in the city center
β At least 3-5 years of experience working as a Machine Learning and/or DSP Engineer (or equivalent role) with a significant level of autonomy, including experience developing, deploying, and supporting production-grade models
β Strong experience with DSP (audio, video, but biomedical applications and/or experience with physiological signals would be preferred) and/or time series analysis (financial, industrial, and other fields)
β Background in math, statistics, algorithms, and data structures
β Proficiency with Python
β Experience with relevant libraries and frameworks: numpy, scipy, scikit-learn, PyTorch/TensorFlow, Pandas (including deployment tools: TensorFlow Serving / TorchScript)
β Experience with AWS ecosystem
β Desirable: experience implementing models that need to perform inference on resource-constrained devices with low latency (mobile, low-power computers like Raspberry Pi, etc.)
β Upper-Intermediate English level
Nice to have:
β MS or Ph.D. degree in machine learning, data science, statistics, applied math, computer science, or other relevant fields (or equivalent experience)
Responsibilities:
β Work with the data scientists and domain experts to analyze the data and build machine learning models
β Design and implement the pipeline for model training, validation, deployment, and experimentation
β Implement production-ready machine learning models that are reliable, resilient, efficient, and satisfy resource constraints
β Implement digital signal processing (DSP) techniques to pre-process, clean, enrich, and otherwise prepare raw signals for further analysis and model training
We offer multiple benefits, such as:
β Challenging work in an international and professional environment
β Mastering the English language with a native speaker
β 40-hour working week with flexible working hours
β Flexible WFH policy
β Competitive salary
β PE accounting and support
β 20 paid vacation days per year
β 14 paid sick leave days per year
β Medical insurance
β Annual 250$ deposit for attending external events (conferences, workshops, etc.)
β Long-term employment and real opportunities to change roles and projects within the company
β Yoga classes, workout corner
β Collaborative and friendly team environment
β Cozy, fully equipped office space in the city center
About Proxet
Proxet is a custom web, mobile and software development company offering customized and tailored technology solutions to a wide range of clients. With over 10 years of experience in building complex solutions for enterprise-level businesses, SMBs, and startups, Proxet has delivered over 100 projects in Healthcare, Marketing, Financial Services, Retail, Real Estate, Aerospace & Automotive verticals. As a custom software development company, Proxet also provides thought leadership and advisory services to fast-growing startups and Fortune 500 companies.About us:
10+ years in software development
4 offices globally
150% company growth within 2 years
200+ engineers & experts
90% of our projects incorporate ML/AI
30+ early-stage & VC-backed startups
Enterprise clients with over $1B+ in revenue
What we do:
β Neural networks
β Computer Vision & Image Recognition
β Natural Language Processing
β Chat Bots
β Data Mining
β Voice Technology
β Big and Small Data Processing
β Building semantic analysis
β iOS and Android development
β Main languages: Java, .Net, Ruby, Python, Scala, JavaScript
Company website:
https://nation.proxet.com/
DOU company page:
https://jobs.dou.ua/companies/proxet/
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