Senior ML Engineer (LLMs, AWS)
⚲ Yerevan
Do uzgodnienia
Wymagania
- Python
- LLMs
- AWS
- Docker
- SageMaker
Opis stanowiska
Provectus is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Responsibilities:
- Create ML models from scratch or improve existing models.
- Collaborate with the engineering team, data scientists, and product managers on production models.
- Develop experimentation roadmap.
- Set up a reproducible experimentation environment and maintain experimentation pipelines.
- Monitor and maintain ML models in production to ensure optimal performance.
- Write clear and comprehensive documentation for ML models, processes, and pipelines.
- Stay updated with the latest developments in ML and AI and propose innovative solutions.
🔍 Dekoder Ogłoszenia
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As an ML Engineer, you’ll be provided with all opportunities for development and growth.
Firma deklaruje możliwości rozwoju, ale nie precyzuje, czy są to szkolenia, awanse, czy po prostu dostęp do nowych projektów.
🔴
Create ML models from scratch or improve existing models.
Może oznaczać zarówno budowanie innowacyjnych rozwiązań od podstaw, jak i drobne modyfikacje istniejących, często przestarzałych modeli.
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Collaborate with the engineering team, data scientists, and product managers on production models.
Współpraca może być zarówno płynna i efektywna, jak i pełna nieporozumień i opóźnień, w zależności od struktury i kultury firmy.
🔴
Develop experimentation roadmap.
Może oznaczać strategiczne planowanie innowacji lub po prostu listę pomysłów do przetestowania bez jasnego celu i zasobów.
🔴
Stay updated with the latest developments in ML and AI and propose innovative solutions.
Oczekuje się, że pracownik samodzielnie będzie śledził nowinki i proponował rozwiązania, co może oznaczać brak dedykowanego czasu lub budżetu na badania.