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Staff Machine Learning Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (Machine Learning/MLOps): Designing, deploying, and monitoring machine learning models and pipelines for scalable enterprise applications with an accent on MLOps, feature engineering, model serving, and performance optimization. Focus on building reliable distributed ML systems, integrating cloud architectures and CI/CD pipelines, and mentoring engineers on development and deployment best practices.
Location: 100% remote, from anywhere
Company
Technology services provider delivering solutions for large enterprises and innovative startups through a distributed global team.
What you will do
- Lead the design, deployment, and monitoring of machine learning models and pipelines.
- Implement MLOps processes covering model training, deployment, and monitoring.
- Oversee feature engineering, data preprocessing, model optimization, and model serving.
- Design reliable, scalable, and secure ML solutions for enterprise applications.
- Collaborate with data engineers, software engineers, and product teams on integrated ML solutions.
- Establish ML engineering standards and mentor ML engineers.
Requirements
- 7+ years of experience in machine learning, MLOps, model deployment, and model monitoring.
- Strong background in software architecture, system security, memory management, and performance optimization.
- Experience designing distributed and scalable cloud solutions.
- Knowledge of relational and non-relational databases.
- Ability to evaluate architecture and technology trade-offs.
- Advanced English proficiency required.
Culture & Benefits
- Fully remote work from anywhere with flexible hours and the ability to create a personal schedule.
- Compensation in USD or the candidate's local currency.
- Hardware and software setup for working from home.
- Paid parental leave, vacation, and national holidays.
- Mentorship, skill development, promotions, and growth opportunities in a multicultural environment.
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