Senior Artificial Intelligence/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
TL;DR
Senior Artificial Intelligence/Machine Learning Engineer (MLOps): Engineering and deploying ML models into production environments with an accent on scalability, reliability, and CI/CD pipelines. Focus on optimizing model performance, building data pipelines, and implementing robust monitoring systems.
Location: Hybrid in Slovakia
Salary: from €3,300 gross per month
Company
A custom product engineering company that supports multinational organizations and scaling startups to solve complex business challenges.
What you will do
- Collaborate with data scientists to transition machine learning models from development to production.
- Develop and maintain data and model pipelines to support reliable and efficient workflows.
- Design and implement CI/CD pipelines for ML deployment using Docker and GitHub Actions.
- Monitor post-deployment model performance to ensure long-term reliability, scalability, and quality.
- Continuously optimize infrastructure for improved latency, throughput, and cost-efficiency.
Requirements
- Experience deploying ML models in production using cloud platforms such as GCP, AWS, or Azure.
- Proficiency in Python and relevant ML libraries including TensorFlow, PyTorch, and scikit-learn.
- Hands-on experience with ML platforms such as VertexAI, Kubeflow, or SageMaker.
- Knowledge of CI/CD pipelines and containerization tools like Docker.
- Ability to troubleshoot and resolve complex model and pipeline issues in production.
- Must be based in or able to work from Slovakia
Nice to have
- Experience with data processing frameworks, particularly Apache Beam or Dataflow.
- Strong skills in performance and cost optimization (latency and throughput).
Culture & Benefits
- Friendly, open-door culture that values initiative and professional growth.
- Fast-paced agile environment focused on innovation and efficiency.
- Global exposure through collaboration with international, cross-functional teams.
- Tailored learning opportunities including Udemy access, certifications, and language courses.
- Flexible work arrangement allowing a balance between office and remote work.
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