6 дней назад
Machine Learning Engineer (MLOps)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (MLOps) (Python/Cloud): Productionizing and operating machine learning models through deployment pipelines, monitoring, and retraining automation with an accent on Python quality, CI/CD, cloud infrastructure, and model serving. Focus on optimizing production performance, implementing alerting, and collaborating with data scientists and data engineers on reliable model deployment.
Location: Lisbon, Portugal; hybrid work with 2 days per week in the office. The company also mentions 100% remote opportunities, but this role is listed as hybrid.
Company
is a technology company delivering tailored solutions across Europe in cloud, cybersecurity, data, and advanced development.
What you will do
- Productionize machine learning models and deploy data-science outputs into reliable production environments.
- Build and maintain ML-focused CI/CD and deployment pipelines.
- Manage production models, monitoring, alerting, failures, and key performance metrics.
- Automate retraining initiatives and optimize model response times and operational efficiency.
- Write clean, structured, testable Python code and collaborate with data scientists and data engineers on deployment and data transformation.
Requirements
- More than 3 years of experience in machine learning.
- English proficiency at least B2.
- Strong Python skills, including project structuring, reusable and testable code, object-oriented programming, design patterns, and pytest or unittest.
- Strong SQL skills for querying and manipulating data.
- Experience with AWS, GCP, or Azure for ML workloads.
- Experience building and maintaining CI/CD pipelines with tools such as GitHub Actions or Jenkins.
- Understanding of MLOps fundamentals, Git versioning, pull requests, code reviews, and ML-specific versioning practices.
- Experience with TensorFlow, PyTorch, and Scikit-learn.
- Experience deploying models with Docker or Kubernetes, including model optimization and compression.
- Familiarity with model-serving APIs using FastAPI or Flask.
- Strong collaboration, communication, problem-solving, ownership, accountability, and ability to learn from technical feedback.
Nice to have
- Basic knowledge of Java or Scala for integrating with existing systems.
Culture & Benefits
- Professional, dynamic, and collaborative working environment.
- International projects and career development across Portugal, Belgium, Luxembourg, Denmark, and other countries.
- 100% remote opportunities are mentioned as an available work option.
- Health and life insurance.
- Tech Visa support is available for candidates outside the European Union.
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